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"Reading Microsoft OneDrive files" matching MCP servers:

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    A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.
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    208
    MIT
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    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.
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    MIT
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    A deterministic structural code map server for AI agents, giving them the shape of a codebase (imports, exports, classes, functions, signatures, comments, TODO-markers) without reading whole files into context. Powered by tree-sitter WASM grammars, it runs anywhere Node 18+ works.
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    AGPL 3.0
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    MCP server that indexes your codebase's public API at startup and serves it via compact tool responses, saving tokens vs reading source files.
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    MIT
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    MCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.
    4
    MIT
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    Enables efficient code navigation and retrieval through natural language search, BM25 ranking, and fuzzy matching across multiple programming languages. It drastically reduces token usage by allowing Claude to query specific code symbols and logic instead of reading entire files.
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    MIT
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    Local MCP server and CLI for Access layout files, rendered to SVG without Microsoft Access. Enables visual verification of form/report layout changes.
    3
    MIT
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    Slimdex is a local MCP server that helps coding agents retrieve code narrowly—outlines, line ranges, symbol bodies, references, and intent-based searches—instead of reading whole files into context, featuring a persistent index and tools for exploration, editing, and session memory.
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    MIT
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    Gives coding agents structured code understanding via tree-sitter with 23 tools and 10 languages, enabling precise queries instead of reading entire files.
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    MIT
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    A Model Context Protocol (MCP) server providing 62 AI-optimized tools for .NET/C# semantic code analysis, navigation, refactoring, and code generation using Microsoft Roslyn. Built for AI coding agents - provides compiler-accurate code understanding that AI cannot infer from reading source files alone.
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    MIT
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    Indexes any TypeScript / React / Next.js repo into a queryable code graph and exposes 13 MCP tools — who-renders, who-calls, find-references, blast-radius, find-cycles, dead-code orphans, and local semantic search — so agents query structure instead of reading whole files. Built on ts-morph, so edges are resolved, not grepped.
    14
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    MIT
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    Enables AI assistants to analyze GDScript code structure, extract symbols, functions, and dependencies without reading entire files. Supports efficient navigation and understanding of Godot game engine codebases through tree-sitter parsing.
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    MIT
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    Enables agents to quickly find and edit code in a codebase with surgical precision. Find symbols, edit them everywhere with tools for reading code blocks, searching/replacing text, and making precise line-based modifications.
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    Enables local code review and security scanning by reading files and sending them to the Kasra API for analysis, integrating with AI tools like Claude Desktop and Cursor via the Model Context Protocol.
    3
    MIT
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    An MCP server that gives Claude Code IDE-level intelligence for FastAPI projects — semantic code navigation, safe renaming, route inspection, dependency trees, and Pydantic model analysis. Instead of Claude reading files blindly, it calls structured tools backed by Jedi (Python language server) and Python's AST.
    9
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    MIT
  • F
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    Provides LLMs with safe, read-only access to local codebases for searching, reading files, and finding function definitions. All source code remains local, ensuring privacy while enabling AI assistants to explore project structures and functionality.
    4