Home › MCP Servers

MCP Servers

Browse all Model Context Protocol servers with quality scores, stars, languages and maintenance activity.

Filters (3 active)
5 results (<1ms) · data updated 2026-08-14

Results

Beever-AI/beever-atlas B MCP Server Active

Beever-AI/beever-atlas

Open-source LLM knowledge base for teams. 28-tool native MCP server turns Slack/Discord/Teams/Mattermost chat into a typed knowledge graph + auto-generated wiki with cited answers, semantic search, expert finding, and decision tracing. BYO LLM via LiteLLM, Apache 2.0, on-prem via Docker.

★ 439 Python Updated yesterday Score 76 Knowledge & Memory

ayushagrawal288/memex D MCP Server Maintained

ayushagrawal288/memex

Production-grade persistent memory service for AI agents. Semantic search with recency decay (configurable α blend), local ONNX embeddings (zero API cost), background memory summarisation, and Prometheus/Grafana observability. `docker compose up` — no cloud dependencies.

★ 1 Python Updated 2mo ago Score 46 Knowledge & Memory

mcasdfgf/mcp-roo-memory D MCP Server Maintained

mcasdfgf/mcp-roo-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.

★ 1 Python Updated 2mo ago Score 46 Knowledge & Memory

dl4rce/flaiwheel D MCP Server Maintained

dl4rce/flaiwheel

Self-hosted memory and governance layer for AI coding agents. 28 MCP tools with structured knowledge capture, hybrid search (semantic + BM25 + cross-encoder reranking), behavioral documentation nudges, cold-start codebase analyzer, and git-native storage. Single Docker container, zero cloud dependencies.

★ 4 Python Updated 2mo ago Score 45 Knowledge & Memory

besslframework-stack/project-tessera D MCP Server Stale

besslframework-stack/project-tessera

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.

★ 16 Python Updated 4mo ago Score 40 Knowledge & Memory