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Provides weather querying capabilities to agents within a Model Context Protocol (MCP) server environment.
Deploys a remote Model Context Protocol (MCP) server to Cloudflare Workers with OAuth login.
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.
Enables AI agents to interact with CosmWasm smart contracts programmatically.
Interconnects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP).
Browse and explore information about Pokemon using a web application.
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.
Generates commit messages from git staged files, facilitating Gitflow workflows.
Standardizes how applications provide context to Large Language Models using the Model Context Protocol.
Provides a basic implementation of the Model Context Protocol (MCP) allowing client-server communication with LLMs.
Provides weather forecasts for Japan using the 天気予報 API (livedoor 天気互換).
Facilitates conversational interactions powered by language models and the Groq API.
Enables real-time messaging and activity tracking with local machine integration through a secure protocol.
Provides a scalable SaaS B2B platform leveraging LLMs through a Model Context Protocol (MCP) based architecture.
Exposes JVM build tools via the Model Context Protocol, enabling interaction using natural language.
Generates images from text prompts using the SiliconFlow API.
Wraps the Crawl4AI library with a Model Context Protocol (MCP) server, providing crawling functionality via Python functions.
Provides a GraphQL API for querying and manipulating Mission Control Platform (MCP) data.
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