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Memory MCP

Memory MCP

by mrunmayeekokitkar
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.9/5.0

    Scored across 10 tools

    Disambiguation4/5

    Most tools map to clearly distinct memory operations: store one fact, ingest bulk text, query, get a project snapshot, list, update, delete, and consolidate. The only notable overlap is between ingest_conversation and ingest_codebase_summary, which both extract facts from text and could be confused despite usage guidance.

    Naming Consistency4/5

    All names use snake_case and are action-oriented, making the tool set readable and predictable. Consistency is slightly reduced by mixing bare verbs (remember, recall, forget) with verb_noun forms (list_projects, update_memory).

    Tool Count5/5

    Ten tools are well-scoped for a memory service, covering storage, retrieval, maintenance, and lifecycle operations without obvious bloat. Each tool appears to earn its place.

    Completeness5/5

    The surface covers the full memory lifecycle: create/store, bulk ingest, recall/read, project context, list, update, delete, and consolidation. No obvious CRUD or maintenance operation is missing for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources