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@friday-ai-codes/mcp

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    Related Servers

    • OpenCodeHub MCP Server

      laithalsaadoon
      A
      license
      Not graded
      quality
      A
      maintenance
      Provides code intelligence for AI coding agents by indexing repositories into a hybrid knowledge graph, enabling agents to query dependencies, impact, and context through 28 MCP tools.
      3
      Apache 2.0

    • codesight

      Houseofmvps
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides 13 MCP tools for codebase analysis, wiki generation, and knowledge mapping, enabling AI assistants to understand project structure and context efficiently.
      971 npm
      1,407
      MIT

    • CodeGraph

      Phoenixrr2113
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search code by meaning, explore codebase structure, store and query knowledge with temporal facts, and read source code through a set of MCP tools.
      267 npm
      7
      MIT

    • Synapse

      amitsingh2003
      F
      license
      Not graded
      quality
      D
      maintenance
      Provides structural code intelligence via 26 MCP tools, enabling AI assistants to query code symbols, dependencies, and call graphs accurately without file-pasting.
      -

    • ContextAtlas

      codefromkarl
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI coding agents to retrieve and manage code context with hybrid search, project memory, and observability via MCP tools.
      29
      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

    A4.1/5.0

    Scored across 23 tools

    Disambiguation5/5

    All tools have clearly distinct purposes with detailed descriptions. Even similar tools like grep_repository and search_rag_chunks are explicitly differentiated (exact text vs semantic search). Overlap is minimal and intentional.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., analyze_repository, create_coding_plan, search_rag_chunks). No mixing of camelCase or other conventions.

    Tool Count4/5

    23 tools is slightly above the ideal range but well-justified given the comprehensive domain coverage (code analysis, planning, execution, knowledge management). No obvious bloat.

    Completeness4/5

    The tool surface covers the full lifecycle from repository discovery to code execution and knowledge persistence. Minor gaps exist (e.g., no direct file editing or issue/PR commenting outside Feishu), but core workflows are complete.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources