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    A standalone MCP Tool Registry server providing generic tool search and discovery for MCP clients, reducing token consumption and improving tool selection accuracy.
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    MIT
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    Enables AI-powered code editing and development tasks through natural language conversations with Claude, using Aider's capabilities for improving code, adding features, fixing bugs, refactoring, and checking status.
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    A brain for your mail: MailFathom turns IMAP mailboxes into a self-hosted, AI-native service.
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    AGPL 3.0
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    MCP server for UNICEF child development statistics. Query 790+ child-focused indicators across 200+ countries with disaggregations by sex, age, wealth quintile, and residence. No API key required.
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    MIT
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    MCP server for the ReactUse library. Exposes 110+ React Hook signatures, examples, and API metadata so AI coding assistants can discover and use any hook from @reactuses/core directly.
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    Model Context Protocol server for AI Canvas. Search, inspect, and install open-source React and Tailwind components from the aicanvas.me registry directly in your AI editor.
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    MIT
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    Enables AI agents to query Hungary's official legislation database (NJT) using native ELI identifiers, retrieving metadata and full text with verifiable citations.
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    Apache 2.0
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    Self-hostable, markdown-native team wiki with a built-in MCP server: agents search, read, and write your wiki pages (ranked Postgres full-text + semantic search, backlink traversal). Plus Atlas, which auto-generates a cited, coverage-checked wiki from your git repos and Jira.
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    AGPL 3.0
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    A self-improving knowledge agent that provides local retrieval, web research, and structured answer synthesis for Claude Code and VS Code Copilot via MCP. It enables AI tools to manage a project-specific knowledge lifecycle through automated research and indexing.
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    9
    MIT
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    A FastMCP server for the Animagine XL 4.0 image generation experience that provides tools for prompt validation, optimization, and explanation. It also enables the management of local checkpoints and LoRAs to streamline diffusion workflows and ensure consistent prompt structure.
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    MIT
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    Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).
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    MIT