{"servers":[{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.mnemox-ai/tradememory-protocol","description":"MCP memory for AI trading agents. Store trades, recall similar setups, track strategy performance.","repository":{"url":"https://github.com/mnemox-ai/tradememory-protocol","source":"github"},"version":"0.3.1","packages":[{"registryType":"pypi","identifier":"tradememory-protocol","version":"0.3.1","transport":{"type":"stdio"}}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-03-02T12:15:31.901816Z","publishedAt":"2026-03-02T12:15:31.901816Z","updatedAt":"2026-03-02T12:15:31.901816Z","isLatest":false}}},{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"io.github.mnemox-ai/tradememory-protocol","description":"MCP memory for AI trading agents. Store trades, recall similar setups, track strategy performance.","repository":{"url":"https://github.com/mnemox-ai/tradememory-protocol","source":"github"},"version":"0.5.4","packages":[{"registryType":"pypi","identifier":"tradememory-protocol","version":"0.5.4","transport":{"type":"stdio"}}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-07-29T13:38:28.306742Z","publishedAt":"2026-07-29T13:38:28.306742Z","updatedAt":"2026-07-29T13:38:28.306742Z","isLatest":true}}}],"metadata":{"count":2}}
