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Empowers developers to create robust, efficient, and scalable web and CLI applications using a lightweight, modular Java framework with AI integration.
Enables running Claude Desktop on Linux systems using a Nix flake.
Enables LLM applications to perform in-depth research through the MCP protocol.
Executes code securely within isolated Docker containers, providing a safe environment for AI applications.
Provides AI agents and applications with seamless access to Mapbox's geospatial intelligence platform through the Model Context Protocol.
Enhances AI agents and integrated development environments with an open-core, self-improving context compression and code search suite.
Enables natural language interaction with eBooks in EPUB and PDF formats through a Model Context Protocol (MCP) server.
Provides financial insights and analysis to Large Language Models via a Model Context Protocol (MCP) server.
Executes Python code in isolated, rootless containers, serving as an MCP server with optional proxying capabilities for external MCP tools.
Enables secure interaction with Microsoft SQL Server databases via a controlled interface for AI assistants.
Securely reads and extracts text, metadata, and page counts from PDF files (local or URL) for use by AI agents.
Enables decoupled agent-tool interaction by providing a working pattern for Server-Sent Events (SSE) based Model Context Protocol (MCP) clients and servers.
Enables AI models and coding assistants to semantically search and retrieve Claude Agent Skills using vector embeddings and the Model Context Protocol.
Transforms OpenAPI specifications into Model-Context-Protocol servers and remixes existing servers.
Provides database access capabilities to Claude, supporting SQLite, SQL Server, and PostgreSQL databases.
Enables AI code assistants to access and debug Node.js applications at runtime.
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
Implements Claude Code-like functionality using the Model Context Protocol, enabling code understanding, modification, and execution.
Provides a comprehensive neural intelligence framework for building, deploying, and orchestrating ephemeral, CPU-native AI solutions across diverse environments.
Reads GitHub repository structure and retrieves specified files, facilitating programmatic analysis of codebases.
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