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Alternatives to PocketDex MCP

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    Related Servers

    • A
      license
      B
      quality
      B
      maintenance
      Enables AI coding agents to query a fully local SQLite FTS5 memory index of a codebase, returning high-density identity cards with exact line references, AST symbol contracts, phase maps, and colloquial intent search so agents can work without scanning raw files. It also supports incrementally syncing code changes and enriching knowledge under a six-pillar quality gate, keeping everything on-device with no cloud leakage.
      5
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables semantic and keyword search over a local codebase by chunking source files along function and class boundaries, embedding them offline, and fusing vector and BM25 results. Runs entirely on your machine in a single SQLite file, so AI coding agents can find relevant code with no API keys, telemetry, or cloud calls.
      7
      11 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to search indexed local codebases through AST-aware chunks with BM25 retrieval and CPU reranking, returning whole functions, classes and types instead of arbitrary token windows. It also exposes file outlines, dependency impact radius, related-test mapping, index statistics and reindexing, so agents can navigate and assess blast radius before editing without reading entire files.
      1
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to search any local folder through a private SQLite FTS5 index that extracts text from PDFs, Office documents, plain text, code and zip listings, returning ranked matches instead of slow ls/grep scans. It also supports metadata and glob listing, paged retrieval of already-extracted text, duplicate detection, and incremental background re-indexing with secrets and caches excluded by default.
      8
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to search a project's code and receive the most relevant source excerpts with exact line numbers, so agents spend fewer tokens, tool calls and rounds locating the code behind a question. Search runs locally, with only the question and selected snippets sent to a relevance ranking service.
      14
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI coding agents to perform private, local code search that returns only the most relevant code chunks, reducing token use and setup while keeping repositories on the user's machine.
      MIT

    TDQS

    A3.8/5.0

    Scored across 3 tools

    Disambiguation5/5

    The three tools target clearly separate actions: building an index (index_project), querying it (search), and inspecting index metadata (stats). There is no overlap in purpose and the descriptions reinforce the boundaries (index before search, stats to verify indexing).

    Naming Consistency3/5

    index_project follows a verb_noun pattern, but 'search' is a bare verb and 'stats' is a bare noun, so the set mixes conventions. All names are short and readable, but there is no single predictable pattern.

    Tool Count4/5

    Three tools is a tight, well-scoped surface for a code-index/search server, and each tool clearly earns its place. It sits at the lower bound of a comfortable range, leaving little room for complementary operations.

    Completeness3/5

    Index, query, and inspect cover the core workflow, but there is no way to delete or drop a stale project database, refresh all projects at once, or retrieve full file contents (search only returns snippets). Agents can work around some of this, but index lifecycle management is notably absent.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues