MCP.Market

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 yet
    local · pypi2677/wkFree
  • Lineage-gated agent memory tools on Postgres + pgvector, enforced by row-level security.

    No reviews yet
    local · pypi2.6k/wkFree
  • Probes vector-database endpoints for unauthenticated exposure of embeddings/RAG data

    No reviews yet
    local · npm1369/wkFree
  • Create and manage vector database indexes, backups, and collections

    No reviews yet
    local · mixed31149/wkFree
  • Let Claude create and edit fully editable vector nodes on the Figma canvas.

    No reviews yet
    local · npm166/wkFree
  • Probes vector-database endpoints for unauthenticated exposure of embeddings/RAG data

    No reviews yet
    local · npm1204/wkFree
  • High-dimensional vector embedding semantic SimHash deduplication sentinel with LRU cache simulation

    No reviews yet
    local · mcpb7Free
  • x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.

    No reviews yet
    local · npm24/wkFree
  • MCP server for Weaviate: collections, objects, GraphQL search. Works with any instance.

    No reviews yet
    local · npm84/wkFree
  • Search and edit the MLP Vector Club color guide: appearances, tags, shows and reservations.

    No reviews yet
    gateway-readyFree
  • AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node

    No reviews yet
    local · pypi22/wkFree
  • Local vector and raster editing engine for agents: layered documents, saved sessions and exports.

    No reviews yet
    local · mcpb1Free

36 more, graded and ranked

  • 13
    Qdrant Memory
    Persistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.
    B
  • 14
    Qdrant RBAC
    Role-based access to your Qdrant vector store, via MCP. OIDC in, scoped JWTs out.
    B
  • 15
    pgvector
    Similarity search, hybrid search, and index management for pgvector-backed PostgreSQL tables
    B
  • 16
    Milvus
    MCP server for Milvus: collections, stats, search. Works with any instance.
    A
  • 17
    Local Vector Search MCP
    Local Markdown search, navigation and editing via MCP, with optional vector embeddings.
    A
  • 18
    Vector Mirror
    Deterministic SVG perception for LLM agents — measures, never guesses. MCP server.
    B
  • 19
    Vector Memory
    Semantic document memory using Redis vector store. Save and recall files with natural language.
    B
  • 20
    Vector DB MCP
    Assembly-accelerated DuckDB MCP server for code search, indexing, and symbol lookup.
    B
  • 21
    Vector Panda
    Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
    B
  • 22
    Vector Panda Documentation
    Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
    B
  • 23
    Codex Pets Registry
    Search, preview, install community Codex pet packs, and discover the pet request flow.
    B
  • 24
    Embeddings, Rerank & Speech-to-Text (Tanod)
    Speech denoise, transcripts (SRT/VTT), embeddings, reranking, entities and translation.
    B
  • 25
    Qdrant
    Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
    C
  • 26
    CogniCore
    Memory, reflection and safety for AI agents. Hosted or local, no vector database.
    A
  • 27
    Appwrite
    Build and deploy backends: auth, Postgres/MySQL/vector databases, storage, functions, hosting, CDN
    A
  • 28
    Alibaba Cloud DashScope — Qwen
    Alibaba Cloud DashScope MCP: Qwen chat, embeddings, and model discovery on your own account.
    B
  • 29
    MCP AutoMem
    Graph-vector memory for AI assistants using FalkorDB and Qdrant
    C
  • 30
    IBM watsonx.ai Granite
    IBM watsonx.ai MCP by three.ws: chat, text generation, embeddings, and tokenization.
    B
  • 31
    Memtomem
    Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
    A
  • 32
    ArcadeDB MCP Server
    Built-in MCP server for ArcadeDB multi-model database (graph, document, vector, time-series)
    B
  • 33
    Svg Tracer
    MCP server for converting bitmap images to SVG vector graphics using potrace tracing.
    A
  • 34
    Srclight
    Deep code indexing for AI agents. FTS5 + embeddings + call graphs + git intelligence. Fully local.
    A
  • 35
    jevreel
    Search and understand videos without embeddings: contact sheets plus Jev typed decisions.
    B
  • 36
    Openai
    MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
    A
  • 37
    Local Memory
    Persistent local AI memory. SQLite + FTS5 + vector search, knowledge graph. No cloud, no API keys.
    A
  • 38
    Vecline
    Local-first image, vector and document toolkit that measures its own output. Nothing uploaded.
    A
  • 39
    Clude
    Portable agent memory anchored on Solana. Local SQLite + vector recall, open export.
    B
  • 40
    IT Glue
    IT Glue MCP server for MSPs — documents, flexible assets, semantic vector search, RBAC, and BYOK
    B
  • 41
    SAME - Stateless Agent Memory Engine
    Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
    B
  • 42
    Postgres
    Enterprise PostgreSQL MCP server with NL queries, hybrid search (pgvector+BM25), and web UI
    A
  • 43
    Citadel
    Encrypted-first embedded database with vector search and agent memory, exposed as MCP tools
    B
  • 44
    sqlite-graph-memory
    Recall over your markdown notes: vector search plus your [[wikilinks]] as a graph, in SQLite.
    A
  • 45
    Smart Connections
    Local semantic search over Obsidian vaults via Smart Connections embeddings. Multi-vault, private.
    A
  • 46
    Pikelet
    Search self-contained .pikelet knowledge artifacts over MCP — no vector DB, no embedding API.
    A
  • 47
    IT Glue
    IT Glue MCP server for MSPs — documents, flexible assets, semantic vector search, RBAC, and BYOK
    A
  • 48
    Memory Vault
    Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.
    B

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.

Gateway docs
claude mcp add --transport http mcp-market https://gw.mcp.market/mcp

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