Repository History
24 repositories tagged with mcp
mcp-atlassian: AI-Powered Interaction with Atlassian Tools
mcp-atlassian is a Model Context Protocol (MCP) server designed to integrate AI assistants with Atlassian products like Confluence and Jira. It enables AI to perform actions such as searching, creating, and updating tickets or pages, supporting both Cloud and Server/Data Center deployments. This tool streamlines workflows by allowing natural language interaction with your Atlassian ecosystem.
alsoasked-mcp: An MCP Server for AlsoAsked API and SEO Keyword Research
The alsoasked-mcp project provides a Model Context Protocol (MCP) server that integrates with the AlsoAsked API. This server allows users to access Google's "People Also Ask" data, making it a valuable tool for SEO research and content optimization. It offers features like searching PAA questions, managing API accounts, and flexible search options.
Inspector: The Ultimate Tool for Developing MCP and ChatGPT Apps
MCPJam Inspector is a powerful local development client designed for testing and debugging MCP servers, ChatGPT apps, and MCP ext-apps. It provides a comprehensive suite of tools, including a widget emulator, OAuth debugger, and LLM playground, enabling developers to rapidly iterate on their projects without needing external services like ngrok or a ChatGPT subscription.
mcpo: A Simple, Secure MCP-to-OpenAPI Proxy Server
mcpo is a dead-simple proxy server that transforms any Model Context Protocol (MCP) tool into an OpenAPI-compatible HTTP server. This allows seamless integration of MCP tools with LLM agents and applications that expect standard RESTful OpenAPI interfaces, eliminating the need for custom protocols or complex glue code. It enhances security, stability, and interoperability for AI tools, making them instantly usable with modern web standards.
mcp-ui: Building Interactive UIs for AI with Model Context Protocol
mcp-ui is an SDK that enables the creation of rich, interactive user interfaces for AI tools, built on the Model Context Protocol (MCP). It standardizes UI delivery over the protocol, allowing developers to craft next-gen UI experiences. This project provides client and server SDKs in multiple languages, making it easier to integrate dynamic UIs into AI applications.
awslabs/mcp: Enhance AI Assistants with AWS Model Context Protocol Servers
The awslabs/mcp repository offers a suite of specialized Model Context Protocol (MCP) servers designed to help users maximize their AWS experience. These servers enable seamless integration between Large Language Model (LLM) applications and various AWS services, providing AI assistants with real-time access to documentation, contextual guidance, and best practices. This enhances the quality and accuracy of AI-generated outputs for cloud development and operations.
Figma-Context-MCP: Bridging Figma Designs with AI Coding Agents
Figma-Context-MCP is an innovative Model Context Protocol (MCP) server designed to provide Figma layout information directly to AI coding agents like Cursor. This tool significantly enhances the accuracy of AI in implementing designs by offering relevant metadata, enabling one-shot design implementation across various frameworks. It streamlines the design-to-code workflow, making AI-powered development more efficient and precise.
mcp-server-chart: Empowering Chart Generation and Data Analysis with AntV
mcp-server-chart is a powerful Model Context Protocol (MCP) server from AntV, specializing in chart generation and data analysis. It provides over 25 diverse chart types, enabling users to create rich visualizations through various MCP tools and integrations. This TypeScript-based solution simplifies complex data representation, making it accessible for a wide range of analytical needs, including LLM-powered applications.
Wassette: A Security-Oriented Runtime for WebAssembly Components
Wassette is a security-focused runtime developed by Microsoft, designed to execute WebAssembly Components via the MCP protocol. It provides a secure sandbox environment, making it easy to extend AI agents with new tools. Leveraging Wasmtime, Wassette offers browser-grade isolation for enhanced security, though it is currently in early development.
mcp-agent: Build Effective AI Agents with Model Context Protocol in Python
mcp-agent is a powerful Python framework designed to help developers build effective AI agents using the Model Context Protocol (MCP) and simple, composable workflow patterns. It fully implements MCP, providing robust support for agent lifecycle management and integrating patterns from Anthropic's 'Building Effective Agents'. This framework simplifies the creation of durable, production-ready agent applications.
MCPHub: Unified Management and Dynamic Routing for MCP Servers
MCPHub is a powerful open-source platform designed for centralized management and dynamic organization of multiple Model Context Protocol (MCP) servers and APIs. It transforms these services into streamable HTTP (SSE) endpoints, offering flexible routing strategies including intelligent semantic routing and group-based access. This solution simplifies the deployment and scaling of AI-driven applications by providing a unified interface and robust control features.
openapi-servers: Reference Implementations for LLM Tool Integration
The openapi-servers repository provides reference implementations for OpenAPI Tool Servers, simplifying the integration of external tools and data sources into LLM agents and workflows. By leveraging the OpenAPI specification, it ensures secure and easy communication without proprietary protocols. This project aims to accelerate the development of powerful AI applications by offering battle-tested, standard-compliant server examples.