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Enables generative AI to interact with the Japanese government's e-Stat API.
Provides a high-performance Model Context Protocol server for executing read-only MongoDB queries.
Dynamically imports API specifications (OpenAPI, GraphQL, AsyncAPI), exposes them as tools for agents, and enhances functionality through self-learning and autonomous documentation.
Provides persistent memory and semantic search capabilities for autonomous AI agents.
Combines a sophisticated bi-temporal knowledge graph with dynamic automation tool generation to empower AI agents with persistent, time-aware memory.
Leverages AI to automatically generate Phaset manifest files by analyzing repository content.
Demonstrates the integration of the MCP framework with popular tools and AI frameworks like Google ADK, LlamaIndex, and LangChain through a client-server setup.
Integrates Home Assistant with AI agents and other applications via Model Context Protocol (MCP) or a standalone HTTP REST API.
Facilitates asynchronous video generation using Amazon Nova Reel and AWS Bedrock through a Model Context Protocol (MCP) server.
Provides a basic implementation of a Model Context Protocol (MCP) server using .NET.
Enables AI assistants to control Spotify playback, manage playlists, search music, and access user information.
Demonstrates integrating AI agents with local and remote tool execution via MCP and Ollama.
Enables AI agents to execute TypeScript code with access to modular APIs defined in local skills directories.
Accelerate application development with a versatile toolkit, offering optimized resource usage and enhanced functionality for seamless performance.
Enables LLMs to analyze data, calculate statistics, and generate predictions from various sources.
Retrieves Wikipedia content for specified topics via an MCP server.
Enables large language models to query live Sage 200 data using natural language, leveraging CData JDBC Drivers.
Enables semantic search and API request execution for OpenAPI specifications within the Claude Desktop environment.
Provides an intelligent AI Gateway to ensure reliable and optimized tool calls from large language models.
Provides a Model Context Protocol (MCP) server that enables AI assistants to directly search and read Feishu open platform documentation.
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