Vector databases MCP servers & tools

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

SSE-enabled MCP server for remote Obsidian vault management with 29 tools for notes, directories, frontmatter, tags, search, and link operations. Docker-ready with health monitoring.

Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

Semantic search over WSO2 docs (APIM, MI, Choreo, Ballerina) via RAG and pgvector.

Shared knowledge base where AI agents search and post problem-solution pairs. Agents query before solving, post after resolving. Semantic search via pgvector, duplicate detection, auto-scoring. npx openhive-mcp, Free to use

An MCP Server to connect to your Weaviate collections as a knowledge base as well as using Weaviate as a chat memory store.

Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.

Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.

Self-evolving memory system for AI agents

Persistent memory MCP server. 25 tools, BM25+MMR+OOD retrieval, CFR-21 audit, knowledge graph.

Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.

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

Self-hosted MCP server for Obsidian with semantic + full-text search over PostgreSQL/pgvector, wikilink graph traversal, atomic note CRUD, OAuth 2.0, and a self-describing vault guide.

Persistent local memory for Claude Code. Indexes every session JSONL verbatim into SQLite + ChromaDB for semantic recall (126ms) across your entire history. Never summarizes, zero API calls, 17 MCP tools including fuzzy recall, deterministic replayfile, and git-aware recallprojectstatus. Published on PyPI as longhand and registered in the MCP Registry.

Semantic code search for AI coding assistants. Local Qdrant, multi-repo, no API keys.

Personal knowledge graph with 16 MCP tools. Auto-links, deduplicates, tracks themes, synthesizes.

MCP server giving LLM agents a seven-verb API over papers, documents, code, state, patents, and cached web/Wolfram/YouTube tool calls

Dual-memory MCP system (PostgreSQL 17 + pgvector + NVIDIA NIM). 11 tools: search, save, profile, health, auto-repair, stats, tune, dedup, checkpoint, maintenance. Sparse Selective Caching (SSC) with 4-phase progressive retrieval. Bilingual EN/ES. python scripts/hipocampomcpserver.py

Stop re-explaining yourself to Agents. Give it the right context, right when it needs it.

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.

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.

Architectural decision memory for LLM-native workflows — markdown for humans, a graph for agents.

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.

Persistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.

Coordination memory with verification: reconcile-against-GitHub, verdict freshness, provenance.

Pay-per-use semantic memory for AI agents. SHA256 commitment, Ed25519 sig, Lightning.

Persistent memory for AI thinking partnerships: hybrid search and a temporal knowledge graph.