Mem0
Mem0-MCP provides a structured approach for managing coding preferences through an MCP server that integrates with mem0.ai. Built with Python using the FastMCP framework, it offers three main tools: adding coding preferences with comprehensive context, retrieving all stored preferences, and semantically searching through preferences to find relevant code implementations, solutions, and documentation. The server runs as a persistent process that agents can connect to via SSE, making it ideal for cloud-native environments where server and clients operate as decoupled processes. This implementation is particularly valuable for developers using Cursor who need efficient storage and retrieval of code snippets and programming knowledge.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/mem0ai/mem0-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Mem0 from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.