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"AMAP - Chinese mapping and navigation service" matching MCP servers:

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    A specialized server that provides advanced TypeScript code manipulation and analysis capabilities, enabling refactoring, navigation, diagnostics, and module analysis through Claude.
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    MIT
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    A TypeScript-aware MCP server that provides coding agents with repository discovery, code intelligence, and web project context for local codebases. It enables deep symbol navigation, diagnostic reporting, and structural analysis of monorepos without requiring full IDE integration.
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    MIT
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    Multi-system MCP server for reading and writing ABAP source via SAP ADT, with a local web admin, browser-based login, and tools for source navigation, editing, activation, testing, and debugging.
    MIT
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    AI-native open-source 2D game engine whose MCP server exposes every editor operation to coding agents as typed commands, so an agent can build, run, and verify a game inside the editor. It runs locally on macOS, Windows, and Linux with no cloud service or API key.
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    MIT
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    Wraps FastContext-1.0 as a repo-exploration subagent for Claude Code, enabling efficient codebase navigation by returning file paths and line ranges as grounded citations, reducing main-agent token consumption by up to 60%.
    MIT
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    A native Visual Studio 2026 extension implementing Claude Code's IDE integration protocol: agent edits open in VS's diff viewer for accept/reject, and MCP servers expose the live debugger (stepping, data breakpoints, attach), Test Explorer runs, and Roslyn navigation with decompile to the agent.
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    MIT
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    A Model Context Protocol server that utilizes a headless Neovim instance as an IDE kernel for advanced code editing and navigation. It provides tools for LSP-powered diagnostics, buffer management, and structural edits using Tree-sitter.
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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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    An MCP server leveraging the Rust-based ty type checker to provide AI models with high-performance, semantic Python code analysis and structural navigation. It enables precise symbol searching, cross-file renaming, and diagnostic reporting to improve code understanding and editing accuracy.
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    An MCP server that implements a structured workflow for LLM-based coding, guiding development through feature clarification, documentation generation, phased implementation, and progress tracking.
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    MIT
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    Enables multiple AI coding agents to collaborate on a project by coordinating tasks, file leases, and messages through a shared hub, preventing conflicts and enabling parallel development.
    MIT
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    Local-first code intelligence and safety layer for AI coding agents. MCP server exposes dependency graph, impact analysis, and AST-compressed repo context, backed by typed local memory, patch-scope safety gates, and git-independent transaction rollback.
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    MIT