MCP Memory Service — Git skill for Claude Code
GitHub Repo stars MCP server providing semantic memory and persistent storage for Claude Memory service MCP.
How to install MCP Memory Service
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open doobidoo/mcp-memory-service and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What MCP Memory Service does
Open-source memory backend for multi-agent systems. Agents store decisions, share causal knowledge graphs, and retrieve context in 5ms — without cloud lock-in or API costs.
Alternatives in Git
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README
mcp-memory-service
Persistent Shared Memory for AI Agent Pipelines
Open-source memory backend for multi-agent systems. Agents store decisions, share causal knowledge graphs, and retrieve context in 5ms — without cloud lock-in or API costs.
**Works with LangGraph · CrewAI · AutoGen · any HTTP client · Claude Desktop**
[](https://opensource.org/licenses/Apache-2.0) [](https://pypi.org/project/mcp-memory-service/) [](https://pypi.org/project/mcp-memory-service/) [](https://github.com/doobidoo/mcp-memory-service/stargazers) [](https://github.com/langchain-ai/langgraph) [](https://crewai.com) [](https://github.com/microsoft/autogen) [](https://claude.ai) [](https://cursor.sh) [](docs/remote-mcp-setup.md) [](docs/remote-mcp-setup.md) [](docs/oauth-setup.md) [](https://github.com/sponsors/doobidoo)
🎬 See It in Action
[](https://youtu.be/W34r8VFoSdQ)
**[Watch the Web Dashboard Walkthrough on YouTube](https://youtu.be/W34r8VFoSdQ)** — Semantic search, tag browser, document ingestion, analytics, quality scoring, and API docs in under 2 minutes.
🌐 Works with claude.ai (Browser)
Unlike desktop-only MCP servers, **mcp-memory-service supports Remote MCP** for native claude.ai integration.
**What this means:**
- ✅ Use persistent memory directly in your browser (no Claude Desktop required)
- ✅ Works on any device (laptop, tablet, phone)
- ✅ Enterprise-ready (OAuth 2.0 + HTTPS + CORS)
- ✅ Self-hosted OR cloud-hosted (your choice)
**5-Minute Setup:**
# 1. Start server with Remote MCP enabled
MCP_STREAMABLE_HTTP_MODE=1 \
MCP_SSE_HOST=0.0.0.0 \
MCP_SSE_PORT=8765 \
MCP_OAUTH_ENABLED=true \
python -m mcp_memory_service.server
# 2. Expose via Cloudflare Tunnel (or your own HTTPS setup)
cloudflared tunnel --url http://localhost:8765
# → Outputs: https://random-name.trycloudflare.com
# 3. In claude.ai: Settings → Connectors → Add Connector
# Paste the URL: https://random-name.trycloudflare.com/mcp
...
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