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"Reading and Writing Word 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.
    65
    208
    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.
    5
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    MIT
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    MCP server for Python API verification and projection, enabling AI coding agents to detect non-existent APIs and retrieve exact API surfaces before writing code.
    3
    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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    Breaking-change diffs for npm packages, served over REST and MCP, so coding agents stop writing code against outdated API knowledge.
    2
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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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    13
    MIT
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    Enables read-only binary diff and fingerprinting of files without writing to disk, providing structured diffs and per-section SHA-256 hashes.
    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.
    2
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    159
    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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    28
    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