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    A lightweight Postgres MCP server for safe database exploration and query analysis, read-only by default, with multi-database support.
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    MIT
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    Exposes tools for AI assistants to query a persistent SQLite+FTS5 index of C/C++ symbols parsed from real build commands, enabling sub-millisecond lookup, full-text search, and natural-language explanation without hallucination.
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    MIT
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    A Windows-first STDIO MCP server for generating traceable release notes from C/C++ GitHub repositories using architecture analysis and AI.
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    MCP server for C/C++ code analysis using clangd and clang tools, providing diagnostics, symbol search, include analysis, function listing, and code formatting.
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    MIT
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    C++26 paper reference MCP with lookup_paper, fuzzy search, and compiler_status tools over a 216-paper ISO/IEC 14882:2026 corpus. Backs a Claude Code plugin that biases the model toward final-form C++26 idioms (reflection, contracts, std::execution senders, expansion statements, #embed).
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    MIT
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    An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.
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    Elastic 2.0
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    An MCP server that decompiles and inspects .NET assemblies to C# source, wrapping ILSpy. Enables querying .NET DLLs via natural language to decompile types, list members, and search symbols.
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    MCP server for managing Proxmox VE resources, VM/CT lifecycle, snapshots, backups, and clones via natural language.
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    MIT
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    Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.
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    MIT
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    Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.
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    MIT
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    Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.
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    MIT
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    A FastMCP server providing hackathon overview resources and reusable starter prompts for quick integration with Cursor.
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