Shrimp Task Manager is an MCP (Model Context Protocol) server designed to enhance AI-driven software development by persisting project context, breaking down complex tasks, and guiding structured workflows. It integrates with MCP-compatible clients such as Claude Code to maintain task memory across sessions and streamline planning and execution. The system enables persistent memory, context preservation, and automated task decomposition, helping AI models work more efficiently and effectively within project constraints.

• ⭐ 1,868
• MCP
• cjo4m06/mcp-shrimp-task-manager

CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.

• ⭐ 69
• MCP
• CircleCI-Public/mcp-server-circleci

@bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

• ⭐ 8
• MCP
• chunkydotdev/bldbl-mcp

buildkite-mcp-server implements a Model Context Protocol (MCP) server that exposes Buildkite data, including pipelines, builds, jobs, and tests, to AI tooling and editors. It facilitates secure and standardized access to CI/CD information for model-based tools. The project is written in Go and is recommended to be run in a containerized, secure environment.

• ⭐ 40
• MCP
• buildkite/buildkite-mcp-server

react-analyzer-mcp analyzes React component source files (JSX/TSX) to extract information about components and their props. It features tools for analyzing individual components or entire project folders and can generate structured documentation automatically. The tool is designed to operate as an MCP (Model Context Protocol) server and integrates with AI assistants like Claude to provide real-time, context-aware analysis. Installation and usage workflows are streamlined for project integration, supporting both CLI and conversational interfaces.

• ⭐ 51
• MCP
• azer/react-analyzer-mcp

mcp-code-runner is a code execution service built on top of the Model Context Protocol (MCP). It enables users to execute code securely within Docker containers and retrieve the execution results. The tool is designed to support code execution use cases while adhering to the MCP standard for interoperability. A local Docker environment is required for operation.

• ⭐ 14
• MCP
• axliupore/mcp-code-runner

MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.

• ⭐ 572
• MCP
• automation-ai-labs/mcp-link

Augments MCP Server delivers comprehensive, real-time framework documentation and context-aware assistance for developers, integrating seamlessly with Claude Code through the Model Context Protocol. It aggregates and prioritizes multi-source documentation, employs advanced caching and hot-reloading, and enhances context with compatibility analysis and task-specific insights. It offers structured, validated JSON outputs and robust error handling for a modern, resilient developer experience.

• ⭐ 79
• MCP
• augmnt/augments-mcp-server

JSR MCP provides a Model Context Protocol (MCP) server designed for robust interaction with the JSR (JavaScript Registry) via Deno. It enables large language models (LLMs) to search, retrieve, and manage JavaScript packages, scopes, users, and registry metadata. The server exposes 40 comprehensive tools for operations such as searching packages, managing versions, handling scopes and permissions, and accessing authentication-secured functionality. Ideal for integrating JSR operations into automated systems or AI model workflows.

• ⭐ 0
• MCP
• wyattjoh/jsr-mcp

Package Registry MCP Server provides a Model Context Protocol interface that enables AI assistants and agents such as Claude, Cursor, and Copilot to search and retrieve up-to-date information from major package registries. It supports searching and querying detailed data for NPM, crates.io, NuGet, PyPI, and Go modules directly from the source registries. Integrations are provided for various AI tools, facilitating easy and standardized package data access.

• ⭐ 28
• MCP
• Artmann/package-registry-mcp

Provides a FastMCP-based framework for programmatically retrieving metrics, project lists, historical data, and issues from SonarQube instances. Facilitates simplified message-based client-server communication, abstracting direct API interactions and enabling automation, reporting, and integration. Supports key actions including project creation, deletion, metric retrieval, and issue listing for SonarQube environments. Designed for developers, DevOps engineers, and analysts seeking to incorporate SonarQube data into broader workflows.

• ⭐ 12
• MCP
• ArchAI-Labs/fastmcp-sonarqube-metrics

Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

• ⭐ 2,263
• MCP
• supabase-community/supabase-mcp

PGMCP enables seamless interaction with any PostgreSQL database through natural language queries, translating user intent into structured SQL results. It acts as a Model Context Protocol (MCP) server, connecting AI assistants and MCP-compatible clients to databases with features like streaming, robust error handling, and optional AI-powered SQL generation. The tool ensures secure, read-only access to existing databases using HTTP/MCP protocol. Compatibility includes tools such as Cursor, Claude Desktop, and VS Code extensions.

• ⭐ 499
• MCP
• subnetmarco/pgmcp

Provides an MCP server that brings Snowflake Cortex AI, object management, and SQL orchestration to the MCP ecosystem. Enables Cortex Search, Analyst, and Agent services for structured and unstructured data querying, along with automated SQL execution and object management. Designed for integration with MCP clients to streamline AI-powered data workflows and context-sensitive operations within Snowflake environments.

• ⭐ 176
• MCP
• Snowflake-Labs/mcp

SkySQL MCP Server implements the Model Context Protocol to provide a robust interface for launching and managing serverless MariaDB and MySQL database instances. It offers capabilities to interact with AI-powered agents for intelligent database operations, execute SQL queries, and manage credentials and security settings. Integration with tools like MCP CLI, Smithery.ai, and Cursor.sh is supported for interactive usage. Designed for efficiency and scalability, it enables streamlined database workflows with advanced AI assistance.

• ⭐ 2
• MCP
• skysqlinc/skysql-mcp