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    Minimal Go library for building stdio MCP servers on the official go-sdk — struct-derived JSON Schema, tiny static binaries.
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    MIT
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    Enables AI assistants and local LLMs to interact with BirdNET-Go bioacoustic observatories, providing tools to query recent and historical bird detections, monitor station health, and retrieve audio clips.
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    18 npm
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    MIT
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    Read-only MCP server for Huawei GaussDB (centralized & distributed), built for coding agents. Three-layer write protection, multi-instance config, schema exploration and single-SELECT execution.
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    Apache 2.0
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    Go MCP server for multi-format document access — PDF, TXT, MD, DOCX, CSV, images. 12 tools including OCR, search, table extraction, and URL fetch. Single binary, no runtime.
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    MIT
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    Read-only MCP tools for authenticated Open Science Framework projects, components, files, and contributors.
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    Apache 2.0
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    Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 58 tools for design automation: styles, variables, components, prototypes, and content.
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    1,267
    MIT
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    Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.
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    Apache 2.0
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    Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.
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    MIT
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    MCP server for UniFi Network Controller enabling AI assistants to manage UniFi infrastructure via natural language. It supports firewall rules, IPv6, and uses lazy/eager tool modes to minimize context usage.
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    Mozilla Public 2.0
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    Enables AI agents to monitor and control Prusa 3D printers over PrusaLink or Prusa Connect, including status and camera checks, file upload and print control, G-code execution, queue and history access, and responding to printer dialogs.
    MIT
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    LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.
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    MIT
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    Connect any AI client to the CaBrain memory system via MCP, exposing tools for memory recall, retain, and brain management.
    2 npm
    MIT
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    An MCP server for inter-session communication between Claude Code instances. Built on NATS JetStream, it provides room-based messaging, direct agent communication, presence tracking, and message history.
    Apache 2.0
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    🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
    7
    MIT