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Connects local code repositories to AI applications, such as Claude, enabling real-time project knowledge synchronization.
Enables Claude to interact with specified directories on a system via a Model Context Protocol (MCP) server.
Provides a production-ready Model Context Protocol (MCP) server for interacting with the 0G Chain blockchain.
Runs a server integrating Llama3 with Xterm.js.
Facilitates multi-agent conversation protocols for the Google Resource Settings API.
Implements a complete OAuth 2.1 server for FastMCP, facilitating robust testing of client authentication flows and token management.
Generates a server based on the Twilio Routes OpenAPI specification for Multi-Agent Conversation Protocol interactions.
Establishes a foundational server template for building custom tools and integrating with AI assistants via the Model Context Protocol.
Provides accurate date and time information for AI applications like Claude Code and Claude Desktop.
Enables AI agents to connect to and execute read-only SQL queries across multiple database types, including MySQL, PostgreSQL, MSSQL, and Oracle.
Executes commands by calling specified tools with a given prompt.
Provides a server implementation based on the Spinitron API specification.
Organizes tasks, manages notes, and aids personal planning through intelligent AI conversation.
Facilitates multi-agent conversation protocols based on a provided OpenAPI specification.
Enables deployment and integration of Model Context Protocol servers with Microsoft Copilot Studio to provide context to large language models.
Enables Claude to generate speech directly on Linux systems with GPU optimizations.
Dynamically generates Model Context Protocol tools from Swagger/OpenAPI documents, enabling direct REST API invocation from Claude Desktop.
Transforms Claude Code into a Rails-native development partner, simplifying efficient Ruby on Rails development.
Provides a minimal server template for deploying Model Context Protocol (MCP) applications with streamable HTTP transport.
Demonstrates basic usages of the Model Context Protocol with a Python server and client.
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