Skip to content

AI Readiness Score

Which tools are ready for the AI agent era? MCP servers, embeddings, vector search, AI SDKs — scored 0-100.

50
Avg Score
10
Have MCP Server
18
Vector Search
#1

OpenAI

98
✓ MCP✓ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
GPT-4o, o3 modelsEmbeddings APIDALL-E image generationWhisper transcriptionMCP supportFine-tuning APIAssistants API

The AI platform. Everything is AI. Best model ecosystem, but vendor lock-in risk from model-specific features.

#2

Anthropic

95
✓ MCP✗ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
Claude Opus/Sonnet/Haiku modelsComputer Use APIMCP protocol creatorTool use/function callingExtended context (200k tokens)

Created MCP. Claude models are top-tier for coding and reasoning. MCP-first ecosystem.

#3

Vercel AI SDK

95
✓ MCP✓ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
Provider-agnostic generateText/streamTextTool use abstractionRSC integration via streamUIMCP client supportStructured outputs via Zod

De facto standard for React AI apps. Multi-provider in one API. Streaming works out of the box. MCP support added in late 2025. Tied to JS ecosystem.

#4

Weaviate

94
✗ MCP✓ Embeddings✓ Vector Search✓ AI SDK✓ LLM Integration
Native vector + keyword hybrid searchBuilt-in embedding modelsGraphQL and REST APIsMulti-tenancy for SaaS AI appsGenerative search modules

Purpose-built vector DB with generative search built-in. Closer to a full RAG engine than just a store.

#5

Pinecone

92
✗ MCP✓ Embeddings✓ Vector Search✓ AI SDK✓ LLM Integration
Purpose-built vector databaseMetadata filteringNamespaces for multi-tenancyServerless vector searchSparse-dense hybrid search

The default vector DB for RAG. Purpose-built for AI workloads. Great developer experience.

#6

Qdrant

92
✗ MCP✓ Embeddings✓ Vector Search✓ AI SDK✓ LLM Integration
Purpose-built vector databaseSparse + dense hybrid searchQuantization for efficient storagePayload filteringMulti-tenancy for SaaS RAG

Open-source vector database built for AI. Rust-based for performance. Hybrid search, quantization, and multi-tenancy make it production-ready for RAG. Strong Pinecone alternative.

#7

Vercel

90
✓ MCP✗ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
AI SDK (ai package)v0 AI code generatorStreaming UI supportMCP serverEdge-optimized AI inference

Leading AI DX — the ai SDK is the standard for React AI apps. v0 for code gen. Best-in-class streaming.

#8

LangChain

88
✗ MCP✓ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
LLM orchestration frameworkLangGraph for agent workflowsLangSmith observability100+ LLM integrationsVector store connectors

The glue layer for LLM apps. LangGraph is best-in-class for complex agent workflows. LangSmith gives full observability.

#9

Groq

88
✗ MCP✗ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
LPU inference for sub-second responsesOpenAI-compatible APILlama, Mixtral, Qwen modelsFree tier with usable rate limitsStreaming + batching

Hardware-accelerated inference. OpenAI-compatible drop-in. Best for latency-sensitive Llama/Mixtral apps. Limited model selection vs Together.

#10

Together AI

85
✗ MCP✓ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
100+ open models hostedOpenAI-compatible APIFine-tuning serviceDedicated endpointsEmbedding models

Largest catalog of OSS models behind a single API. OpenAI SDK compatible. Good for swapping models without changing code. Fine-tuning is straightforward.

#11

LangGraph

84
✗ MCP✗ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
State machine for agentsHuman-in-the-loop checkpointsMulti-agent orchestrationStreaming agent stateLangSmith integration

Best-in-class for complex agent workflows with state persistence. Steeper learning curve than ai SDK. Python and JS support. LangSmith adds observability.

#12

Supabase

82
✓ MCP✓ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
pgvector extensionEmbeddings via Edge FunctionsMCP serverVector similarity searchAI SQL editor

Strong AI story — native vector search via pgvector, MCP server for agents, good embedding workflow.

#13

v0

82
✗ MCP✗ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
Generate Next.js + shadcn/ui from promptsComponent-level iterationVercel deploy in one clickImage-to-codeStream UI updates

Vercel's prompt-to-app builder. Strong fit for Next.js + shadcn ecosystem. Handles UI well, business logic still needs human review.

#14

Modal

80
✗ MCP✓ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
Serverless GPU inferenceFine-tuning pipelinesBatch embedding jobsPython-native AI SDKCold-start optimised containers

Built for AI workloads. Run any Python AI code at scale without managing infra. Best-in-class for batch embeddings and fine-tuning.

#15

Replicate

80
✗ MCP✗ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
Run any model via CogWebhooks for predictionsImage, video, audio modelsPay per secondPublic model hub

Best for image/video/audio generative models. Webhook-based async API. Cog packaging makes any Python model deployable. Costs spike on heavy media workloads.

#16

Lovable

80
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Full-stack apps from promptsSupabase backend nativeGitHub syncVisual editsStripe payments integration

Generates full-stack apps with Supabase backend. GitHub sync means you can take the code anywhere. Best of the prompt-to-SaaS tools for non-React/Next users.

#17

Neon

78
✓ MCP✓ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
pgvector supportpg_embedding extensionMCP serverAI migration assistantBranching for AI experiments

Serverless Postgres with pgvector — great for AI workloads. Branching lets you experiment safely.

#18

Cursor

78
✓ MCP✓ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
Codebase-aware ComposerTab autocomplete modelMCP tool supportMulti-file editsBackground agents

Most polished IDE-based AI coding tool. Supports MCP servers for custom tools. Indexing works on large repos. Closed source — opaque pricing changes.

#19

Cloudflare Workers

75
✗ MCP✓ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
Workers AI — run LLMs at the edgeVectorize — serverless vector databaseAI Gateway — proxy, cache, log LLM callsR2 for model and dataset storage

Comprehensive edge AI infrastructure. Workers AI runs models close to users. AI Gateway adds observability layer for any LLM provider. Vectorize for RAG. Strong and growing.

#20

Bolt.new

75
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Browser-based StackBlitz environmentInstant previewMulti-framework supportAnthropic-poweredOne-click deploy to Netlify

WebContainers in the browser means full Node.js runs client-side. Iterate without local setup. Great for prototyping. Token usage adds up fast.

#21

Cline

72
✓ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Open source agent in VS CodeMCP server supportBring-your-own-API-keyComputer use modePlan/Act modes

OSS alternative to Cursor. Apache 2.0. MCP-native. Transparent file diffs before applying. Great for users who want to BYO model and audit behavior.

#22

Firebase

71
✗ MCP✗ Embeddings✓ Vector Search✓ AI SDK✓ LLM Integration
Vertex AI integrationFirestore vector searchGenkit AI frameworkFirebase AI SDK

Google AI stack integration is strong, but no MCP server yet. Vertex AI coupling adds complexity.

#23

Ollama

70
✗ MCP✓ Embeddings✗ Vector Search✓ AI SDK✓ LLM Integration
Local LLM runnerOpenAI-compatible APIModel library (Llama, Qwen, Mistral, Gemma)Embedding modelsGPU acceleration

Easiest way to run LLMs locally. OpenAI-compatible endpoint. Useful for dev, air-gapped deployments, and privacy-sensitive workloads. Limited by local hardware.

#24

Aider

70
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
CLI-based AI pair programmerRepo map for contextAuto-commit with messagesVoice coding modeBenchmarks against models

CLI-first. Git-native — every change is a commit. Repo map approach is innovative. Paul Gauthier publishes excellent leaderboards. No MCP yet.

#25

Cloudflare

68
✗ MCP✓ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
Workers AI (inference at edge)Vectorize (vector DB)AI Gateway (logging, caching)R2 for model storage

Edge AI inference is unique — run models close to users. AI Gateway adds observability to any LLM.

#26

n8n

65
✗ MCP✓ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI Agent nodeOpenAI/Anthropic/Ollama nodesVector store nodes (Pinecone, Qdrant)LangChain integrationAI workflow templates

Strong AI workflow story — visual AI agent builder with LangChain integration. Pre-built nodes for all major LLM providers. Good for non-code AI automation.

#27

Elasticsearch

65
✗ MCP✓ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
ELSER (Elastic Learned Sparse Encoder)kNN vector searchSemantic searchML inference pipelineLLM connector for RAG

Strong AI search story — ELSER for semantic ranking, kNN for vector search, inference pipelines for embeddings. RAG capabilities with LLM connectors. Mature and production-ready.

#28

Upstash

62
✗ MCP✗ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
Upstash Vector (serverless vector DB)Semantic caching for LLM callsRAG pipeline supportQStash for AI job queues

Underrated AI infrastructure layer. Semantic caching cuts OpenAI costs significantly. Vector DB is serverless and cheap.

#29

Stripe

60
✓ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
MCP serverAI-powered fraud detection (Radar)Revenue forecastingSmart payment routing

AI for fraud/revenue internally. MCP server lets agents manage payments. No developer-facing AI SDK.

#30

Dynatrace

60
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Davis AI (causal AI engine)AI-powered root cause analysisPredictive problem detectionNatural language queryingLLM observability

Davis AI is Dynatrace's core differentiator — causal AI that identifies root causes automatically. LLM observability for tracking AI app performance. Enterprise-focused AI ops.

#31

GitLab

60
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
GitLab Duo (AI-powered code suggestions)AI-powered merge request summariesVulnerability explanation with AINatural language to CI/CD config

GitLab Duo brings AI across the DevOps lifecycle — code suggestions, MR summaries, and security analysis. Powered by Anthropic and Google. Enterprise-tier feature.

#32

Inngest

58
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI workflow orchestrationStep-based LLM pipelinesRetry and error handling for AI callsStreaming support for long AI tasks

Not an AI product but excellent for orchestrating AI workflows — chaining LLM calls, retrying failures, managing long-running AI pipelines with step functions.

#33

PostHog

55
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI-powered insightsNatural language queryingHogQL AI assistantLLM observability

Good NLP querying and AI insights. LLM observability is useful but no agent/MCP support.

#34

Datadog

55
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
LLM ObservabilityAI-powered anomaly detectionWatchdog auto-discoveryNatural language queries

LLM Observability is valuable for AI apps — track token usage, latency, errors across providers.

#35

Algolia

55
✗ MCP✓ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
NeuralSearch (AI-powered ranking)Vector search supportRecommend API (ML-powered)Dynamic re-ranking

NeuralSearch adds semantic understanding to keyword search. Recommend API uses ML for personalization. Not an AI platform but AI-enhanced search.

#36

Pulumi

55
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Pulumi AI (natural language to IaC)AI-generated infrastructure codeCopilot-style autocomplete for IaCSupport for deploying AI infrastructure

Pulumi AI generates infrastructure code from natural language — impressive for IaC. Also well-suited for deploying AI infrastructure (GPU instances, vector DBs). No MCP yet.

#37

New Relic

55
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
NRAI (New Relic AI assistant)AI-powered anomaly detectionNatural language to NRQLLLM monitoringAI model performance tracking

NRAI assistant queries your telemetry data in plain English. LLM monitoring tracks AI model performance. Good for observing AI apps but not an AI development platform.

#38

Retool

55
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Retool AI — natural language to SQL/codeAI action blocks for LLM calls in workflowsVector DB connector for RAGCustom AI components

Retool AI generates queries from natural language and provides AI action blocks for workflows. Useful for building AI-powered internal tools without custom code.

#39

Fly.io

52
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
GPU machines for inferenceGlobal edge deployment for AI appsPersistent volumes for model storage

Good for hosting AI models globally. GPU Machines available. No built-in AI features.

#40

Convex

52
✗ MCP✗ Embeddings✓ Vector Search✗ AI SDK✓ LLM Integration
Vector search built-inAction-based LLM integrationReal-time AI responses via subscriptionsScheduled functions for AI batch jobs

Reactive backend with built-in vector search. Actions can call external AI APIs. Real-time subscriptions make AI chat UIs trivial. No embeddings generation though.

#41

PagerDuty

52
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AIOps for noise reductionAI-powered incident correlationIntelligent alert groupingPredictive auto-remediation

AIOps is PagerDuty's core differentiator — ML-based alert correlation reduces noise significantly. No developer AI tools but strong operational AI.

#42

Sentry

50
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI-powered issue groupingSuggested fix with AIAutofix featureLLM monitoring

AI for error analysis is genuinely useful. LLM monitoring helps track AI app performance.

#43

Trigger.dev

50
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI task templatesLong-running AI job supportOpenAI/Anthropic integration examplesRetry strategies for LLM calls

Background job platform with AI task support. Good for offloading LLM calls, batch embedding jobs, and long-running AI pipelines from your web server.

#44

Zapier

50
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI Actions for LLM-triggered automationsChatGPT pluginAI code step for custom logicNatural language Zap creation

AI Actions let LLMs trigger Zapier automations — useful for AI agents that need to interact with 6000+ apps. Natural language Zap creation simplifies setup.

#45

Tinybird

50
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Real-time analytics for AI app telemetryClickHouse-backed event storeSQL endpoints for AI dashboardsMaterialized views for token tracking

Not an AI product but excellent infra for tracking AI app usage at scale. Many AI companies use it for token/event analytics. ClickHouse speed without ops burden.

#46

Meilisearch

48
✗ MCP✓ Embeddings✓ Vector Search✗ AI SDK✗ LLM Integration
Hybrid search (keyword + semantic)Vector store capabilitiesEmbeddings generation

Semantic search via embeddings is solid. Could serve as a vector DB for RAG pipelines.

#47

Netlify

48
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
AI-assisted build configEdge Functions for AI inference proxyingDeploy previews for AI-generated UIs

Behind Vercel on AI tooling. No dedicated AI SDK or MCP. Edge Functions can proxy AI calls but no first-class AI story.

#48

Splunk

48
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI Assistant for SPL query generationML Toolkit for anomaly detectionPredictive analyticsMLTK custom ML models

ML Toolkit for operational analytics. AI Assistant generates SPL queries from natural language. Strong for security AI use cases (SIEM). No developer-facing AI tools.

#49

Railway

45
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
One-click GPU deploymentAI model hosting templates

Good for hosting AI models but no built-in AI features in the platform itself.

#50

Temporal

45
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Durable execution for long-running AI pipelinesRetry policies for flaky LLM callsWorkflow versioning for AI model rollouts

Workflow engine — no AI features. But durable execution is ideal for AI pipelines that need retries, timeouts, and compensation logic for multi-step LLM chains.

#51

CockroachDB

45
✗ MCP✗ Embeddings✓ Vector Search✗ AI SDK✗ LLM Integration
pgvector-compatible vector searchDistributed vector indexingMulti-region AI data locality

PostgreSQL-compatible with pgvector support for vector search. Distributed architecture means vector search scales across regions. No embedding generation.

#52

Jira

45
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Atlassian Intelligence (AI assistant)AI-powered issue summarizationNatural language to JQL conversionSmart automation suggestions

Atlassian Intelligence adds LLM-powered features across the platform. JQL generation from natural language is useful. No developer-facing AI tools or MCP.

#53

Deno Deploy

45
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Edge runtime for AI API proxiesDeno KV for caching AI responsesBuilt-in fetch for LLM API calls

Edge platform that's excellent for building AI API proxies and caching layers. No built-in AI features but the runtime is ideal for low-latency AI app backends.

#54

Typesense

42
✗ MCP✓ Embeddings✓ Vector Search✗ AI SDK✗ LLM Integration
Semantic searchVector searchBuilt-in embedding models

Vector search and semantic capabilities. Simpler than dedicated vector DBs but getting there.

#55

Mixpanel

42
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Spark AI (natural language querying)Anomaly detectionAI-generated insights

Spark AI lets you query analytics in plain English. Useful for non-technical users. No developer-facing AI tools.

#56

EdgeDB

42
✗ MCP✗ Embeddings✓ Vector Search✗ AI SDK✗ LLM Integration
pgvector support (PostgreSQL underneath)Built-in ext::pgvector extensionComplex relationship queries for RAG context

PostgreSQL-based so pgvector works. EdgeQL's relationship traversal is useful for building rich context for RAG. No native AI SDK or embedding generation.

#57

Figma

42
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
AI-powered auto layout suggestionsContent generation for placeholder textImage generation via pluginsSmart animate suggestions

Design tool with emerging AI features. Plugin ecosystem brings AI capabilities (image gen, copy writing). No developer-facing AI tools.

#58

Hono

40
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Streaming response helpersEdge runtime for AI proxy APIsMiddleware for API key management

Web framework — no AI features. But excellent for building AI API proxies and streaming endpoints on edge runtimes. Pairs well with Cloudflare Workers AI.

#59

LaunchDarkly

40
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI Configs for managing LLM promptsExperimentation for AI model A/B testingFeature flags for AI rollouts

AI Configs lets you version and flag LLM prompts like feature flags. Useful for AI apps but not an AI platform itself.

#60

ClickHouse

40
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
ClickHouse Cloud query AI assistantApproximate nearest neighbor searchML model inference via external dictionaries

OLAP database used as analytics backend for many AI observability tools. ANN search support is emerging. No native embedding generation or LLM integration.

#61

DigitalOcean

40
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
GPU Droplets for AI workloadsManaged Kubernetes for ML pipelines1-click AI/ML app marketplaceGenAI Platform (beta)

GPU Droplets for AI model hosting. GenAI Platform in beta for managed inference. Good for self-hosting open models but no built-in AI developer tools.

#62

Mux

38
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Auto-generated captions (AI transcription)AI-powered quality optimizationThumbnail generation

AI-powered video features like auto-captions and smart encoding. No LLM integration or developer AI tools.

#63

SurrealDB

38
✗ MCP✗ Embeddings✓ Vector Search✗ AI SDK✗ LLM Integration
Built-in vector searchGraph queries for knowledge graphsMulti-model data for AI context

Multi-model database with vector search. Graph capabilities could serve knowledge graph use cases for RAG. Still maturing for production AI workloads.

#64

Kong Gateway

38
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI Gateway plugin for LLM trafficPrompt caching and rate limiting for AI APIsAI request/response loggingMulti-LLM traffic management

AI Gateway plugin manages LLM API traffic — rate limiting, caching, logging across multiple providers. Useful for teams running multiple AI models behind a single gateway.

#65

Clerk

35
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
User metadata for AI personalization

Auth service — no direct AI features. Can store user preferences for AI personalization but that's a stretch.

#66

Mapbox

35
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
AI-powered geocodingComputer vision for satellite imageryML-based traffic predictions

Uses AI internally for map data quality and traffic. No developer-facing AI tools. Maps + LLMs is an emerging space Mapbox hasn't entered.

#67

Render

35
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
GPU instances for AI inferencePersistent disks for model storagePrivate networking for AI pipelines

Good for hosting AI apps and models but no built-in AI platform features. GPU instances available for inference workloads.

#68

Grafana

35
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
Sift ML-powered anomaly detectionAI-assisted dashboard creationLLM plugin for natural language queries

Observability tool with ML-powered anomaly detection. LLM plugin lets you query dashboards in natural language. Useful for monitoring AI system performance.

#69

Appsmith

35
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✓ LLM Integration
AI-assisted query generationOpenAI integration for custom actionsREST API connector for any AI provider

Basic AI integration via REST API connectors. Can call OpenAI or any LLM API from workflows. No native AI features beyond query assist.

#70

Turso

32
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
SQLite-compatible — works with local AI model setupsEdge replication for low-latency AI app reads

Distributed SQLite. No AI features but edge replication makes it a good companion for latency-sensitive AI apps.

#71

Auth0

30
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Bot detection (ML-powered)Adaptive MFA

Auth service with ML-powered security features. No direct AI developer tools.

#72

Novu

30
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
AI-generated notification copy (experimental)Workflow triggers for AI events

Notification infrastructure — no meaningful AI features. Could hook into AI pipelines as a notification output step.

#73

Directus

30
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Flows for AI-triggered automationsREST/GraphQL API for AI data accessCustom extensions for LLM integration

Headless CMS — no built-in AI. Flows system can trigger AI-powered automations. Data is accessible via standard APIs for RAG pipelines.

#74

Terraform

30
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
HCP Terraform AI-assisted config generationSentinel policy suggestions

IaC tool — no native AI features. HCP (cloud) version adding AI config generation. LLMs can generate HCL reasonably well due to large training corpus.

#75

Webflow

30
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
AI-assisted page generationAI copy writer for text blocksAI image generation via plugins

Visual website builder with emerging AI features for content generation. No developer-facing AI tools. AI assists design, not development.

#76

Rancher

30
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
GPU node management for ML workloadsKubernetes for AI pipeline orchestrationCatalog apps for ML platforms (Kubeflow, MLflow)

Kubernetes management platform that can orchestrate AI/ML infrastructure. No built-in AI features but enables deploying AI platforms like Kubeflow and Ray on k8s clusters.

#77

Effect

28
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Structured concurrency for AI pipeline orchestrationError handling for unreliable LLM callsRetry/timeout composition

TypeScript runtime — no AI features. But Effect's structured concurrency and error handling patterns are excellent for building reliable AI pipelines with retries and fallbacks.

#78

Appwrite

28
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Cloud Functions for LLM API callsStorage for model artifactsRealtime for streaming AI responses

BaaS with no native AI features. Cloud Functions can call any AI API. Realtime WebSocket support useful for streaming LLM responses to clients.

#79

Resend

25
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
React Email templates could be AI-generated

Email API — no AI features. Could benefit from AI-generated email copy but doesn't offer it.

#80

CircleCI

25
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Config.yml generation assistanceTest insights for flaky test detection

CI/CD platform with minimal AI features. Test insights use ML for flaky test detection. No developer-facing AI tools or LLM integration.

#81

Prisma

22
✓ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Prisma MCP serverPulse CDC for AI event triggersAccelerate for query caching

MCP server lets agents query and manage your schema. Pulse can feed DB change events to AI pipelines. Still primarily an ORM.

#82

WorkOS

22
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Fine-grained authorization for AI app access control

Enterprise auth — no AI features. FGA (Fine-Grained Authorization) is useful for gating AI features per tenant/role.

#83

Medusa

22
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Product recommendation hooksSearch integration for AI-powered product discovery

E-commerce engine — no AI features. Can integrate with AI search (Meilisearch, Algolia) for product discovery. Recommendation engine is a common extension point.

#84

Drizzle ORM

20
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Drizzle Studio for data exploration

ORM — no AI features. But works great with pgvector via custom SQL for AI-powered apps.

#85

Coolify

20
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
One-click deploy templates for AI modelsGPU server support

Self-hosted PaaS that can run AI models via Docker but has no built-in AI features. Good for hosting Ollama, vLLM, etc.

#86

Prometheus

20
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Anomaly detection via recording rulesML-based alerting through external tools

Metrics collection system — no AI features. Anomaly detection requires external tools (Grafana ML, Datadog). PromQL is well-understood by LLMs for query generation.

#87

Better Auth

18
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
API key plugin for AI app auth

Auth library — no AI features. API key plugin is useful for gating AI endpoints. Otherwise irrelevant to AI readiness.

#88

Plausible

15
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration

Privacy-first analytics — no AI features by design. Simple, no-nonsense approach.

#89

Umami

15
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration

Lightweight analytics — no AI features. Focused on simplicity and privacy.

#90

ArgoCD

15
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
Sync status analysis

GitOps tool for Kubernetes — no AI features. Declarative by design. LLMs can generate Argo Application manifests but ArgoCD itself has no AI integration.

#91

Ghost

15
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
AI-powered writing assistant (planned)

Publishing platform with no AI features currently. AI writing assistance is on the roadmap. Focus is on content and membership, not AI tooling.

#92

Jenkins

15
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration
ML pipeline pluginsJenkins X for cloud-native ML workflows

CI/CD tool with no AI features. ML pipeline plugins exist but are community-maintained. Llms can generate Jenkinsfiles but Jenkins itself has no AI integration.

#93

Postmark

12
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration

Transactional email service — no AI features. Focused on deliverability and reliability, not AI-powered anything.

#94

Biome

10
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration

Linter/formatter — no AI features. Static analysis is deterministic by design. AI code review is a different product category.

#95

PocketBase

10
✗ MCP✗ Embeddings✗ Vector Search✗ AI SDK✗ LLM Integration

Lightweight BaaS with no AI features. SQLite-based — no vector extensions. Can serve as a simple backend for AI apps but adds nothing AI-specific.

See also

Integrations
Service compatibility grid
Alternatives
Every tool vs every competitor
Who Uses
Real company tech stacks

Explore other areas

Free Tiers
Exact free plan limits
DX Score
Developer experience rated
Outages
Downtime history & post-mortems