A universal framework for creating and deploying custom Model Context Protocol (MCP) tool servers with decorator-based tool registration, supporting multiple transports and automatic JSON schema generation for AI assistants.
A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.
A FastAPI-based Model Context Protocol server that enables tool discovery, invocation history, and human-in-the-loop interaction workflows. It features a Python client and CLI for managing automated tasks that require manual approval and persistence.
A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.
A Python framework for building MCP servers that makes it simple to expose application data and actions to AI clients like Claude Desktop, Cursor, and VS Code through the Model Context Protocol. It wraps protocol handling behind a clean, decorator-based API allowing focus on business logic.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/UCB-BioE-Genetic-Design-Automation/ucb-bioe-genetic-design-automation-2026_bioe234-final_project-mcp-gemini-minimal'
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