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"Information about Microsoft Excel or general excel-related content" matching MCP servers:

  • Excel LSP

    Brody900
    A
    license
    Not graded
    quality
    A
    maintenance
    An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.
    MIT
  • codesearch by microsoft

    codesearchofficial

    microsoft
    A
    license
    Not graded
    quality
    B
    maintenance
    Full-text and structural code search for a large monorepo, exposing results as MCP tools so Claude can query the codebase directly without copy-pasting.
    4
    MIT

  • opencode-mcp

    mvagnon
    A
    license
    A
    quality
    C
    maintenance
    Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.
    1
    19
    MIT

  • bc-source-mcp

    glachana
    A
    license
    A
    quality
    A
    maintenance
    Exposes structured Microsoft Dynamics 365 Business Central source code (versions 23-29, 47 localizations) to AI agents via MCP, enabling fast lookups, searches, and code analysis.
    14
    14
    MIT

  • Ant Design MCP Server

    leonwgc
    A
    license
    A
    quality
    D
    maintenance
    Provides access to Ant Design component library documentation and information for automated code generation. Enables searching components by category or keyword, retrieving component props, examples, API documentation, and available icons.
    6
    15
    ISC

  • archiet-xray

    Anioko
    A
    license
    A
    quality
    A
    maintenance
    Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.
    6
    MIT

  • Octopus MCP Server

    octopusreview
    A
    license
    A
    quality
    C
    maintenance
    MCP server that brings Octopus AI code review into editors, allowing review of code changes and asking questions about your codebase. Integrates with Cursor, Claude, or any MCP client via natural language.
    3
    MIT

  • Blindspot MCP

    umuterdal
    A
    license
    A
    quality
    D
    maintenance
    Blindspot is a local, general-purpose context engine for AI coding agents. It helps agents understand project structure, symbols, relationships, and change impact before editing.
    9
    1
    MIT

  • Codebase Knowledge Graph MCP

    jigneshsuvariya
    A
    license
    A
    quality
    D
    maintenance
    Enables storing and querying structured information about software code entities (classes, functions, files) and their relationships (calls, imports) along with qualitative observations like design decisions and change rationale.
    9
    19
    4
    MIT

  • scplus-mcp

    Cesar514
    A
    license
    B
    quality
    D
    maintenance
    A local code-intelligence MCP server that provides structural, exact-query, related-search, and research capabilities from a validated repo-local index, enabling agents to perform deterministic lookups, semantic search, and code analysis.
    21
    MIT

  • Git Code Review MCP

    AyoubTRD
    A
    license
    B
    quality
    D
    maintenance
    Enables AI assistants to perform code reviews by providing access to staged files, git diffs, and repository file content. It allows users to evaluate changes and context within any local git repository before committing or pushing.
    3
    9
    ISC

  • Gitingest-MCP

    puravparab
    A
    license
    B
    quality
    C
    maintenance
    An MCP server for gitingest. It allows MCP clients like Claude Desktop, Cursor, Cline etc to quickly extract information about Github repositories including repository summaries, project directory structure, file contents, etc
    3
    136
    MIT

  • Prompt Cleaner MCP Server

    dacebt
    A
    license
    C
    quality
    D
    maintenance
    Enables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.
    4
    1
    MIT