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Integrates Semgrep static code analysis into the development environment via the Model Context Protocol.
Implements a Model Context Protocol (MCP) server for the Deepseek R1 language model, enabling integration with Claude Desktop.
Provides weather and stock information via Model Context Protocol (MCP).
Exposes PubNub SDK documentation and API resources to Large Language Model (LLM)-powered tools, enhancing their ability to interact with PubNub.
Demonstrates a Server-Sent Events (SSE) server failing with Bun runtime while succeeding with Node.js.
Provides Model Context Protocol (MCP) access to IQ.wiki data for use by AI assistants and other compatible clients.
Locate family-tested activities worldwide using this MCP server.
Implements a Model Context Protocol server using HTTP Server-Sent Events (SSE) for real-time communication.
Provides simulated weather data and related functionality through an MCP and HTTP API server.
Enables high-performance, scalable image generation using DALL·E 3 through a standardized Model Context Protocol (MCP) interface.
Facilitates a text-based dungeon crawling adventure accessible through a Model Context Protocol (MCP) server, allowing players to explore, interact, and battle.
Transforms JSON data from strings or URLs into CSV format for seamless integration with spreadsheet applications.
Enables AI assistants like Claude to query a sales GraphQL database using natural language.
Accesses Polish Parliament (Sejm) APIs and the European Legislation Identifier (ELI) database to provide comprehensive legal and parliamentary data.
Implements a Model Context Protocol server that mimics biological cognitive processes through multiple processing layers, dual-process thinking, and memory systems for enhanced AI reasoning.
Develops and deploys a RESTful e-commerce microservice utilizing Gilhari ORM for JSON object mapping and PostgreSQL with automated environment detection.
Exposes technical analysis indicators from TA-Lib through an MCP server, HTTP API, and command-line interface.
Builds reliable, context-aware AI agents by integrating LangGraph with Model Context Protocol for semantic search, grounded responses, and automated evaluation.
Provides reference implementations for the Model Context Protocol, enabling Large Language Models with secure, controlled access to external tools and diverse data sources.
Control and secure HTTP requests made by autonomous agents, ensuring full oversight of allowed actions and data.
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