Skip to main content
Glama
Sign In
Codebase Brain MCP

Codebase Brain MCP

by Nomannazir
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Codebase Brain MCP

No user-submitted related servers found.

    Related Servers

    • mimry

      jbacalso24
      A
      license
      B
      quality
      B
      maintenance
      Enables AI coding agents to build and query local repository memory, returning ranked files, context packs, relationship maps, semantic recall, and feedback-tuned search without uploading code.
      9
      270 PyPI
      1
      MIT

    • OmniDocs-RAG-CN

      ybhuang995-dev
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to index and search local files, websites, GitHub repos, and packages with hybrid AI-powered retrieval, all locally through IDE chat.
      Apache 2.0

    • lore

      razamalik7
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to search, retrieve, save, and sync encrypted Git-native context, transcripts, and takeaways across devices and contributors. It provides local full-text search, session access, and status tools while keeping context private on public repositories and avoiding token bloat.
      27 npm
      MIT

    • CodeGraph MCP

      raghurammrsd
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to interrogate a local repository deterministically for symbols, dependencies, call paths, routes, tests, and Git impact, returning verified structured evidence with exact line citations instead of requiring the whole codebase to be read.
      56 PyPI
      4
      MIT

    • Delphi Code

      markdorofeev
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to find code by what it does rather than what it's called, searching local projects and remote GitHub or Bitbucket repositories all at once. Indexing and semantic search run fully offline with a locally loaded model, so code never leaves the machine.
      164 PyPI
      Apache 2.0
    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

    A4.1/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: indexing, targeted search, prose Q&A, history explanation, impact analysis, doc drift, commit-message search, line reading, and repo listing. The descriptions explicitly route agents between overlapping-sounding tools, such as search vs. ask_codebase and explain_history vs. search_history.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern: index_repo, ask_codebase, explain_history, find_doc_drift, search_history, read_lines, list_repos. Minor deviations are the bare search and noun-phrase impact_of_change, but the set remains predictable and readable.

    Tool Count5/5

    Nine tools is well-scoped for a codebase indexing and intelligence server. Each tool covers a meaningful operation without obvious redundancy or bloat.

    Completeness4/5

    The surface covers indexing, discovery, search, Q&A, history, impact analysis, doc drift, and exact file reading, which supports the core workflows. Minor lifecycle gaps remain, such as no explicit repo removal or unindex operation, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources