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    Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.
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    Apache 2.0
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    Historical stock pattern intelligence for AI agents. Search 24M pre-computed chart pattern embeddings across 15K stocks and 10 years. 19 tools: pattern similarity search, forward returns, regime analysis, anomaly detection, sector rotation, earnings reactions, correlation shifts, scenario analysis, and more. Returns what happened historically when charts looked like this — compliance-safe
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    MIT
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    A Model Context Protocol server that exposes the pain001 ISO 20022 Customer Credit Transfer Initiation library as agent tools, enabling AI assistants to generate and validate standardized payment XML messages.
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    Apache 2.0
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    An MCP server that exposes the pacs008 ISO 20022 FI-to-FI Customer Credit Transfer library as tools for AI agents and assistants, enabling generation, validation, and parsing of pacs.008 credit transfer XML messages.
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    Apache 2.0
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    An MCP server that gives AI coding agents verified migration maps: exactly what breaks between two versions of a library and how to fix it, from hand-curated maps with source citations - instead of hallucinated answers from stale training data
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    362
    Business Source 1.1
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    An MCP server that lets an AI assistant control a Kodi media player over Kodi's JSON-RPC API — transport, volume, library search, queue management, and playback history. Written in C on the GLib stack.
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    GPL 3.0
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    Local-first MCP server providing semantic search over library docs, fully offline. Single Go binary speaks MCP over stdio against a vector index pinned to the binary version. Like Context7 with the internet turned off. Apache 2.0. Linux + macOS, also available as a container image.
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    Apache 2.0
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    A Model Context Protocol server that brings the capabilities of enigmapython library to LLMs, allowing them to encrypt and decrypt messages using historically accurate Enigma machine emulators
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    MIT
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    Model Context Protocol (MCP) server that dynamically fetches and serves official Flet resources to AI agents, including documentation, controls, packages, and ecosystem components.
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    MIT
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    The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.
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    Apache 2.0