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"Code indexing or code search" matching MCP servers:

  • A
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    quality
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    maintenance
    Turns a codebase into a queryable graph with semantic search, call graphs, and control/data flow analysis, served to AI coding agents via the Model Context Protocol.
    206
    MIT
  • F
    license
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    quality
    C
    maintenance
    AI modifies a function but misses 5 callers that also need updating. crag fixes this — it builds precise call graphs via static analysis, so AI knows exactly what's affected before making changes.
    2
  • A
    license
    A
    quality
    B
    maintenance
    Gemini-powered code review. Offers review-only and review-and-commit modes with integrated Gitleaks security scanning.
    2
    Apache 2.0
  • F
    license
    B
    quality
    B
    maintenance
    Local-first code intelligence for AI coding assistants: MCP tools, symbol graph search, impact analysis, and auto-index watch for Cursor, Claude Code, and Codex.
    62
    2
  • A
    license
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    quality
    D
    maintenance
    Execute code in 8 programming languages via gVisor-sandboxed Docker containers. Supports Python, JS, TS, Go, Java, C++, C, and Bash.
    2
    MIT
  • A
    license
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    quality
    A
    maintenance
    Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.
    155
    59
    Apache 2.0
  • A
    license
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    quality
    A
    maintenance
    RegressGuard is an MCP server that records a known-good baseline and lets AI coding agents detect regressions (broken API contracts, failing tests, schema changes) during their edit loop, allowing them to self-correct before committing.
    1
    MIT
  • A
    license
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    quality
    B
    maintenance
    Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.
    MIT
  • A
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    quality
    A
    maintenance
    A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabling reliable agentic workflows even with small open-weight models.
    4
    Apache 2.0
  • A
    license
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    quality
    C
    maintenance
    An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.
    119
    MIT
  • A
    license
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    quality
    A
    maintenance
    Provides AI coding assistants with code search, impact analysis, task chaining, and persistent memory to turn AI demos into deliverable code.
    16
    MIT
  • A
    license
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    quality
    A
    maintenance
    MCP server that helps coding LLMs avoid re-solving common problems by serving verified minimal code samples and compatibility evidence, with tools to search, retrieve, and explain known solutions across languages and environments.
    Apache 2.0