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Enables programmatic interaction with GitLab repositories and resources via a Model Context Protocol server.
Enables AI assistants to manage Gmail through natural language interactions with auto authentication support.
Indexes and searches third-party library documentation using semantic splitting and vector embeddings.
Enables interaction with Text to Speech and audio processing APIs for MCP clients.
Enables interaction with Text to Speech and video/image generation APIs through the Model Context Protocol (MCP).
Provides example servers and clients used in the Model Context Protocol tutorials.
Enables developers to write Model Context Protocol servers and clients in Go with minimal code.
Converts existing RESTful and gRPC services into MCP-Server compatible services without infrastructure changes.
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Enables Claude Code as a one-shot MCP server, allowing LLMs to directly leverage Claude's coding capabilities.
Connects MCP clients that only support local (stdio) servers to a remote MCP server, enabling authentication support.
Enables advanced automation and interaction capabilities for Infrastructure as Code (IaC) development through integration with Terraform Registry APIs.
Compose data sources into a unified graph using this GraphQL Federation platform.
Integrates AI models into Ruby applications via the Model Context Protocol.
Provides AI coding tools and agents with access to documentation for APIs, services, and libraries.
Provides a Java-based server and management platform for Xiaozhi ESP32 devices, enabling device monitoring, voice customization, role switching, and dialogue management.
Provides a self-hosted, minimal notes application for organizing markdown-based notes with full-text search.
Bridges large language models and AI agents with physical robots, translating natural language commands into ROS/ROS2 instructions without code changes.
Integrate real-time search capabilities into AI models like Claude for enhanced information retrieval and fact-checking.
Democratizes AI scientists by providing an ecosystem for creating powerful research partners from any large language model.
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