Mem0
mem0-mcp-server-ts is a TypeScript implementation of the Model Context Protocol server that integrates with Mem0's memory storage and semantic search capabilities. The server provides tools for creating memory streams, appending content, searching memories using semantic queries, reading from streams, and deleting streams. It maintains an in-memory representation of streams while persisting data to Mem0's backend when user and agent IDs are provided. This implementation is particularly valuable for AI assistants that need persistent memory storage with semantic search capabilities across conversations, enabling them to recall user preferences, conversation history, and other contextual information without switching interfaces.
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/sadiuysal/mem0-mcp-server-ts
- 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.