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Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

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Status
Unhealthy
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL
Repository
penfieldlabs/penfield-mcp
GitHub Stars
6
Server Listing
Penfield AI Memory

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • Changedlist_artifacts1 field changed
      • addedInput schema / properties / name_pattern
        Added value: +{
        +  "anyOf": [
        +    {
        +      "type": "string"
        +    },
        +    {
        +      "type": "null"
        +    }
        +  ],
        +  "default": null,
        +  "title": "Name Pattern"
        +}
  2. 2 tool updates
    • Changedrecall1 field changed
      • addedInput schema / properties / include_inactive
        Added value: +{
        +  "default": false,
        +  "title": "Include Inactive",
        +  "type": "boolean"
        +}
    • Changedsearch1 field changed
      • addedInput schema / properties / include_inactive
        Added value: +{
        +  "default": false,
        +  "title": "Include Inactive",
        +  "type": "boolean"
        +}
  3. 17 tool updates
    • First observedawaken
    • First observedconnect
    • First observeddelete_artifact
    • First observeddisconnect
    • First observedexplore
    • First observedfetch
    • First observedlist_artifacts
    • First observedlist_contexts
    • First observedrecall
    • First observedreflect
    • First observedrestore_context
    • First observedretrieve_artifact
    • First observedsave_artifact
    • First observedsave_context
    • First observedsearch
    • First observedstore
    • First observedupdate_memory

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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes (store, recall, connect, reflect, etc.), but recall, search, and fetch overlap in search functionality, though descriptions clarify that search/fetch are for ChatGPT compatibility. Overall, an agent can differentiate them with careful reading.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (e.g., save_artifact, list_contexts, update_memory). No mixing of styles, making it predictable for an agent.

Tool Count4/5

With 17 tools, the set is slightly above the typical 10-15 range for a memory server, but each tool serves a clear purpose (memory CRUD, graph operations, artifacts, contexts). The count is still reasonable for the domain.

Completeness3/5

The toolset covers core memory and artifact operations, but notably lacks a direct delete memory tool (only delete_artifact exists). Additionally, there is no tool to list all memories without a query. These gaps hinder full lifecycle management.