Skip to main content
Glama
mahabubul470

gpp

by mahabubul470
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Rust
Local

Related Servers

Alternatives to gpp

No user-submitted related servers found.

    Related Servers

    • projectmem

      liv114514
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to persist project memory across sessions by compiling decisions, progress, and pitfalls into git-linked, evidence-backed entries. It lets clients add, query, inject, scan for stale, check assertions on, and compute ROI of those memories over stdio.
      MIT

    • gitmem

      KuraPiee
      A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI coding agents persistent, branch-aware memory and a dependency-tracked task graph by storing decisions, lessons, and tasks as plain JSON and Markdown committed directly into the repository. Agents can record and fuzzy-search past decisions, dump instant project context, and create, claim, complete, and query tasks whose completion automatically unblocks downstream work.
      MIT

    • beadless

      KuraPiee
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides AI coding agents with git-native persistent memory and a dependency-aware task graph, letting them record and fuzzy-recall architectural decisions, lessons, and gotchas while creating, claiming, and completing tasks that auto-unblock downstream work. Stores everything as plain JSON and Markdown committed inside the repository, so context stays branch-aware, team-shared, and reviewable in pull requests.
      11 npm
      MIT

    • ITHZ MCP

      thegobi
      F
      license
      Not graded
      quality
      C
      maintenance
      Local-first deterministic project memory for AI coding agents, with context packs, decisions, gates, risks, scoped claims and explicit checkpoints in project-owned files.
      -

    • Projectmem

      riponcm
      A
      license
      A
      quality
      A
      maintenance
      Local-first memory layer for AI coding agents — captures issues, attempts, fixes, and decisions, and warns at git commit before you repeat a mistake.
      17
      173 PyPI
      846
      MIT

    • horizon-ledger

      TTAWDTT
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to read and manage a Git-native decision ledger, providing tools for querying decisions, evidence, cross-repository workspaces, validation, and commit tracing, all operating locally and without a cloud service.
      MIT
    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

    B3/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a distinct purpose: query, status, glossary, conventions, and then actions for proposing changesets, graph updates, beliefs, reaffirming beliefs, and cost reporting. No two tools overlap in functionality; even the related belief tools are clearly differentiated (new vs. reaffirm).

    Naming Consistency4/5

    The tools are grouped semantically: 'graphex_' prefix for read-only graph queries, and verb-based names (propose_, reaffirm_, report_) for actions. This is consistent within each group, but there is a mix of naming styles (prefix vs. verb) across the set, making it slightly less uniform than a pure verb_noun convention.

    Tool Count5/5

    Nine tools is well within the ideal range and each tool serves a clear, necessary function for the server's purpose of knowledge-graph interaction and change proposal. No redundant or missing tools are apparent.

    Completeness4/5

    The surface covers the core workflows: querying graph context, checking status, looking up glossary/conventions, proposing changes (changeset, graph update, belief), reaffirming beliefs, and reporting cost. Minor gaps like listing existing beliefs or changesets are not directly present, but the design intentionally routes proposals to human approval, so those may be handled externally.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources