Topic
MCP servers for vector databases
Query and manage the store underneath your embeddings.
This is the storage layer a RAG setup sits on: Pinecone, Qdrant, Chroma, Weaviate, Milvus, or Postgres with pgvector. The servers here mostly wrap one vendor's client, so the thing that varies is not the search quality, it is how much of your instance a single key can reach.
- Graded servers
- 130
- Grade A
- 50
- Run remotely
- 34
- Reviewed by users
- 1
Before you install one
Three things that separate the servers here, none of which shows up in a description.
- Is the key scoped to one index?
- Most of these servers take an account-level key and expose every collection on the instance. A key scoped to one index is the difference between a bad query and a wiped production index, and the vendor, not the server, is where you set that.
- Local or hosted?
- Chroma and Qdrant both run on your own machine. A local one keeps the vectors on disk, needs no key at all, and cannot leak an index to anyone. It is the right default for anything you would not publish.
- Which write tools come with search?
- Upsert and delete usually live in the same server as query. If you only need retrieval, a server that exposes only retrieval is a smaller thing to get wrong.
Every listing below has a scan report saying what the server asks for and what it does with it. The rubric is on how we grade.
The vector database servers we would look at first
Reviewed servers rank first, then the ones with real adoption. At most two per publisher, so no account can fill the list. Nothing here is sponsored.
The full Qdrant API as 58 MCP tools: plain-text semantic/BM25/hybrid search and a search advisor.
No reviews yetlocal · pypi2677/wkFreeLineage-gated agent memory tools on Postgres + pgvector, enforced by row-level security.
No reviews yetlocal · pypi2.6k/wkFreeProbes vector-database endpoints for unauthenticated exposure of embeddings/RAG data
No reviews yetlocal · npm1369/wkFreeCreate and manage vector database indexes, backups, and collections
No reviews yetlocal · mixed31149/wkFreeLet Claude create and edit fully editable vector nodes on the Figma canvas.
No reviews yetlocal · npm166/wkFreeProbes vector-database endpoints for unauthenticated exposure of embeddings/RAG data
No reviews yetlocal · npm1204/wkFreeHigh-dimensional vector embedding semantic SimHash deduplication sentinel with LRU cache simulation
No reviews yetlocal · mcpb7Freex402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.
No reviews yetlocal · npm24/wkFreeMCP server for Weaviate: collections, objects, GraphQL search. Works with any instance.
No reviews yetlocal · npm84/wkFreeSearch and edit the MLP Vector Club color guide: appearances, tags, shows and reservations.
No reviews yetgateway-readyFreeAI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node
No reviews yetlocal · pypi22/wkFreeLocal vector and raster editing engine for agents: layered documents, saved sessions and exports.
No reviews yetlocal · mcpb1Free
36 more, graded and ranked
- 13Qdrant MemoryPersistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.not reviewedNewB
- 14Qdrant RBACRole-based access to your Qdrant vector store, via MCP. OIDC in, scoped JWTs out.not reviewedNewB
- 15pgvectorSimilarity search, hybrid search, and index management for pgvector-backed PostgreSQL tablesnot reviewedNewB
- 16MilvusMCP server for Milvus: collections, stats, search. Works with any instance.not reviewedNewA
- 17Local Vector Search MCPLocal Markdown search, navigation and editing via MCP, with optional vector embeddings.not reviewedNewA
- 18Vector MirrorDeterministic SVG perception for LLM agents — measures, never guesses. MCP server.not reviewedNewB
- 19Vector MemorySemantic document memory using Redis vector store. Save and recall files with natural language.not reviewedNewB
- 20Vector DB MCPAssembly-accelerated DuckDB MCP server for code search, indexing, and symbol lookup.not reviewedNewB
- 21Vector PandaOperate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.not reviewedNewB
- 22Vector Panda DocumentationSearch and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.not reviewedNewB
- 23Codex Pets RegistrySearch, preview, install community Codex pet packs, and discover the pet request flow.not reviewedNewB
- 24Embeddings, Rerank & Speech-to-Text (Tanod)Speech denoise, transcripts (SRT/VTT), embeddings, reranking, entities and translation.not reviewedNewB
- 25QdrantRead-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.not reviewedNewC
- 26CogniCoreMemory, reflection and safety for AI agents. Hosted or local, no vector database.5.0(1)GrowingA
- 27AppwriteBuild and deploy backends: auth, Postgres/MySQL/vector databases, storage, functions, hosting, CDNnot reviewedEstablishedA
- 28Alibaba Cloud DashScope — QwenAlibaba Cloud DashScope MCP: Qwen chat, embeddings, and model discovery on your own account.not reviewedEstablishedB
- 29MCP AutoMemGraph-vector memory for AI assistants using FalkorDB and Qdrantnot reviewedEstablishedC
- 30IBM watsonx.ai GraniteIBM watsonx.ai MCP by three.ws: chat, text generation, embeddings, and tokenization.not reviewedEstablishedB
- 31MemtomemMarkdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.not reviewedGrowingA
- 32
ArcadeDB MCP ServerBuilt-in MCP server for ArcadeDB multi-model database (graph, document, vector, time-series)not reviewedGrowingB - 33Svg TracerMCP server for converting bitmap images to SVG vector graphics using potrace tracing.not reviewedGrowingA
- 34SrclightDeep code indexing for AI agents. FTS5 + embeddings + call graphs + git intelligence. Fully local.not reviewedGrowingA
- 35jevreelSearch and understand videos without embeddings: contact sheets plus Jev typed decisions.not reviewedGrowingB
- 36OpenaiMCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloudnot reviewedGrowingA
- 37Local MemoryPersistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.not reviewedGrowingA
- 38VeclineLocal-first image, vector and document toolkit that measures its own output. Nothing uploaded.not reviewedGrowingA
- 39CludePortable agent memory anchored on Solana. Local SQLite + vector recall, open export.not reviewedGrowingB
- 40IT GlueIT Glue MCP server for MSPs — documents, flexible assets, semantic vector search, RBAC, and BYOKnot reviewedGrowingB
- 41SAME - Stateless Agent Memory EnginePersistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.not reviewedGrowingB
- 42PostgresEnterprise PostgreSQL MCP server with NL queries, hybrid search (pgvector+BM25), and web UInot reviewedGrowingA
- 43CitadelEncrypted-first embedded database with vector search and agent memory, exposed as MCP toolsnot reviewedGrowingB
- 44sqlite-graph-memoryRecall over your markdown notes: vector search plus your [[wikilinks]] as a graph, in SQLite.not reviewedGrowingA
- 45Smart ConnectionsLocal semantic search over Obsidian vaults via Smart Connections embeddings. Multi-vault, private.not reviewedGrowingA
- 46PikeletSearch self-contained .pikelet knowledge artifacts over MCP — no vector DB, no embedding API.not reviewedGrowingA
- 47IT GlueIT Glue MCP server for MSPs — documents, flexible assets, semantic vector search, RBAC, and BYOKnot reviewedGrowingA
- 48Memory VaultLocal-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.not reviewedGrowingB
Or try them without installing any
Add the gateway once and your agent runs search "pinecone", reads the grades, and calls the one it picks. Nothing to install per server, and an F-graded server cannot be reached through it.
claude mcp add --transport http mcp-market https://gw.mcp.market/mcp
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