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Vector DB MCP Servers

Showing 72 Model Context Protocol tools tagged with “Vector DB”.

Browse MCP Servers

Discover, filter, and connect verified Model Context Protocol tools to your AI agents.

Compartment

Knowledge & Memory

Fully offline, encrypted-at-rest vector memory for AI agents. AEAD-encrypted vectors, no cloud.

Docs MCP

Workplace & Productivity

Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.

NeuralBrain

Finance & Fintech

NeuralBrain MCP Server - RAG, Vector Memory, LLM Routing, Agent Identity, x402 Payments

Eustore

Developer Tools

Autonomous AI agent infrastructure: S3 storage, vector DB, MCP hosting. Free. EU-hosted.

Memory Kernel

Local-first memory for AI agents: SQLite FTS5, deterministic recall, no vector DB, no cloud.

Vector Knowledge Graph MCP

Knowledge & Memory

AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node

Central Intelligence

AlekseiMarchenko

Knowledge & Memory

Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.

Recallnest

Knowledge & Memory

Persistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph with PPR traversal, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB + SQLite, zero external dependencies.

ApeRAG

Knowledge & Memory

Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering

Arcadedb

Built-in MCP server for ArcadeDB, a multi-model database (graph, document, key-value, time-series, vector) with SQL, Cypher, Gremlin, and MongoDB QL support.

Project Tessera

besslframework-stack

Knowledge & Memory

Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.

Image2svg MCP

Multimedia Process

Convert raster images (PNG/JPG/WEBP/TIFF) to SVG vector format. Single tool, accepts base64 or URL input; runs locally via uvx image2svg-mcp or as a Docker HTTP server.

Agentcairn

Knowledge & Memory

Local-first agent memory: a plain-Markdown Obsidian vault is the source of truth, with a rebuildable DuckDB index for hybrid BM25 + vector + graph recall. Non-lossy capture with secret redaction; works across Claude Code, Codex, Cursor, and any MCP host. uvx agentcairn

Celiums Memory

Knowledge & Memory

Cognitive memory engine with 5,100+ knowledge modules, circadian rhythm awareness, and emotional state tracking (PAD model). Hybrid search (PostgreSQL + Qdrant vectors + Valkey cache), per-user memory isolation, and multi-protocol support (MCP, REST, OpenAI, LangChain, A2A). npx @celiums/memory Website

Workspace Qdrant MCP

Knowledge & Memory

Project-scoped semantic workspace memory for AI coding assistants. Watches your project files, auto-indexes code and docs into Qdrant with tree-sitter semantic chunking, LSP integration, and hybrid search (dense + sparse + RRF). 6 MCP tools: store, search, retrieve, grep, list, rules. Alpha — testers and feedback welcome.

Chroma MCP

Chroma MCP server to access local and cloud Chroma instances for retrieval capabilities

Connapse

Knowledge & Memory

⃣ 🏠 🍎 🪟 🐧 - Self-hosted knowledge backend for AI agents with hybrid vector + keyword search, container-isolated indexes, and 11 MCP tools. .NET, Docker-ready.

Keymem

Workplace & Productivity

Associative key-graph memory for LLM agents — recall by association, not vector similarity.

MCP Ragchat

gogabrielordonez

end to end RAG platforms

Add RAG-powered AI chat to any website with one command. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini), self-contained chat server and embeddable widget.

MCP Roo Memory

Knowledge & Memory

Persistent fractal graph memory for AI coding agents via MCP. Semantic vector search, hot/cold/archive context tiers, decision tracking, and Docker-based deployment with Qdrant.

Context Keeper

Knowledge & Memory

LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE).

YourMemory

Knowledge & Memory

Persistent memory for AI agents with Ebbinghaus forgetting-curve decay, hybrid BM25+vector retrieval, and entity graph for multi-hop reasoning. Memories auto-prune by importance and recall rate. Built-in browser dashboard, multi-agent support, and yourmemory ask for zero-API-call local queries. pip install yourmemory

Rag Rat

Knowledge & Memory

Local repo-intelligence index and MCP server for coding agents — "what a repository knows about itself." Hybrid BM25 + vector semantic search, a tree-sitter code graph (callers/callees/imports across Rust, TS/TSX, Kotlin, C/C++, Python) with an optional compiler-grade SCIP oracle, queryable git/GitHub history, and typed, source-anchored repo memories (Invariant, Decision, Risk, …) that persist across sessions. Every result carries provenance — confidence labels and coverage warnings. Keeps source read-only; a background watcher keeps queries fresh. PreToolUse hooks augment grep and flag near-duplicate code as you write it. cargo install rag-rat

MCP Ragdocs

Knowledge & Memory

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

Lore

Knowledge & Memory

Semantic search across Claude Code conversations. Hybrid vector + keyword search with Reciprocal Rank Fusion, fully local, background indexing, project-selective.

Vikingdb MCP Server

VikingDB integration with collection and index introduction, vector store and search capabilities.

Deadzone

Knowledge & Memory

Local-first semantic search over library docs. Single Go binary, MCP stdio, vector index pinned to the binary version. Like Context7 with the internet off. Pre-built index DB auto-fetched on first launch and SHA256-verified, then zero network. Also available as docker run --rm -i ghcr.io/laradji/deadzone server. Listed in the official MCP Registry as io.github.laradji/deadzone.

Local Faiss MCP

Knowledge & Memory

Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying

Engram

Knowledge & Memory

Second brain your agents read and write, over a git-backed markdown vault. Authority-aware search ranks superseded and archived notes below live ones (from frontmatter, no vector DB), so agents quote the current doc, not the dead one. Per-agent read-only or write tokens, a git audit trail of every change with diffs, a knowledge-graph dashboard, and Obsidian compatibility.

Agentram MCP

Knowledge & Memory

Persistent memory for AI agents through a simple key-value HTTP API. No vector database or embeddings required. Store, retrieve, search, and share memory across agents with shared namespaces and TTL support. npx -y agentram-mcp

Vector DB MCP Servers & Tools | AllMCPs