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Integrates AI tools and models through a server adhering to the Model Context Protocol (MCP).
Provides access to the Jampp Reporting API through the Model Context Protocol, allowing LLMs to fetch campaign performance data.
Enables AI assistants to access contextual data from GitHub repositories.
Facilitate the creation of custom command-line tools designed for integration with development environments.
Provides access to Web3 events and news from GoWeb3.fyi through a Model Context Protocol (MCP) interface.
Provides a clean foundation for creating custom Model Context Protocol (MCP) servers to integrate with various AI assistants.
Manages Jenkins builds, jobs, artifacts, and queue operations via the Model Context Protocol (MCP) interface.
Integrates Chess.com player data, enabling AI assistants to fetch real-time profiles and statistics from Chess.com's public API.
Connects AI agents to SocioLogic's synthetic persona platform via the Model Context Protocol.
Transform databases into AI-ready data sources using the Model Context Protocol, featuring a visual SQL tool builder, multi-database support, and an all-in-one Docker deployment.
Provides a NestJS-based framework for defining and managing Model Context Protocol (MCP) resources and tools through decorators and metadata scanning.
Provides comprehensive financial signals, market intelligence, and analytical tools for AI assistants through the Model Context Protocol (MCP).
Enables read-only queries of MANTRA Chain's Cosmos SDK and EVM layers through a Model Context Protocol (MCP) server.
Exposes GitHub API operations as AI-ready tools for Large Language Model agents and applications.
Enables querying and comparing diverse public data across multiple US cities, covering demographics, economics, crime, and employment.
Facilitates micropayments between AI agents using USDC on the Solana blockchain, adhering to the x402 protocol for automated payment required responses.
Provides deterministic product lookup, manages family rules, and retrieves Bill of Material (BOM) rules for various backend systems.
Enables large language models to interact with public NASA TechPort information.
Facilitates interaction between Large Language Models and Autodesk MotionBuilder 2026 via a local TCP loopback.
Streamline clinical trial discovery, patient eligibility assessment, trial comparison, and endpoint data retrieval.
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