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Enables AI assistants, such as ChatGPT, with powerful code exploration, navigation, and search capabilities across local and remote repositories.
Provides AI assistants with direct, up-to-date access to Bitrix24 REST API documentation.
Provides AI models with safe, high-level access to CERN ROOT files and their contents.
Implement Model Context Protocol servers in Python for diverse applications and transport mechanisms, demonstrating integration with LangChain for LLM tool discovery.
Explores the capabilities of Large Language Models through various experiments using ChatGPT and French IGN APIs.
Integrates with Front's API to provide MCP server functionality.
Exposes the Dacast video platform API as structured MCP tools for managing resources through natural language.
Enables AI agents to interact with CosmWasm smart contracts programmatically.
Interconnects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP).
Connects large language models to the Perplexica search API for web searching capabilities via the Model Context Protocol.
Browse and explore information about Pokemon using a web application.
Manages backlog items and todos, tracking their status and associated tasks within a structured workflow.
Provides AI assistants with access to browse and read files from specified GitHub repositories using the Model Context Protocol.
Manages and summarizes notes using a custom URI scheme, providing a single prompt for note summarization and a tool for adding new notes.
Enables AI-driven Python code generation and secure execution by integrating large language models with the Model Context Protocol for seamless tool utilization.
Generates commit messages from git staged files, facilitating Gitflow workflows.
Standardizes how applications provide context to Large Language Models using the Model Context Protocol.
Orchestrates multi-step automation workflows by connecting various services through a visual builder and the Model Context Protocol.
Provides a basic implementation of the Model Context Protocol (MCP) allowing client-server communication with LLMs.
Parses and analyzes HTTP Archive (HAR) files to extract comprehensive insights from network traffic captures.
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