Unichat MCP Server

Send requests to multiple AI vendors via the Model Context Protocol with support for predefined prompts like code review, documentation, explanation, and rework, using STDIO or SSE transport for seamless integration and debugging.

Enables AI tools to interact with Supabase databases via Model Context Protocol, offering capabilities to read, create, update, and delete records with type-safe requests and Docker support for seamless deployment.

Enables seamless integration of AI workflows with external tools via the Model Context Protocol, offering advanced orchestration, multi-model support, and flexible node-based automation for efficient, intelligent task execution.

Enables seamless integration with kintone via Model Context Protocol, offering comprehensive capabilities for record and file operations, app and space management, user and group info retrieval, and automated kintone app creation and updates through AI-powered tools.

Provides a YAML-configurable Model Context Protocol server enabling seamless management of LLM resources, prompts, and Python-based tools with support for multiple transport methods including SSE and CLI integration.