Bugsnag MCP Server provides a Model Context Protocol-compliant interface for AI tools to interact with Bugsnag, enabling advanced error monitoring, analysis, and management. It allows navigation of organizations and projects, filtering and investigation of errors and events, and detailed stacktrace and exception chain visualization. The server is designed for easy integration with LLM-powered agents like Cursor and Claude, supporting rich context retrieval and automated issue resolution workflows.

• ⭐ 18
• MCP
• tgeselle/bugsnag-mcp

EdgeOne Pages MCP is an implementation of the Model Context Protocol (MCP) for deploying HTML content, folders, or full-stack projects to EdgeOne Pages with publicly accessible URLs. It provides both stdio and HTTP streaming MCP server configurations, supporting tools like deploy_html and deploy_folder. The solution integrates with Tencent's EdgeOne Pages Functions and KV storage for edge deployment and fast content access. It features automated public URL generation, robust error handling, and compatibility with both international and China regions.

• ⭐ 321
• MCP
• TencentEdgeOne/edgeone-pages-mcp

LLDB-MCP enables integration of the LLDB debugger with Claude's Model Context Protocol, allowing for direct control and interaction with LLDB debugging sessions through AI. The tool offers a suite of commands for managing sessions, examining program state, and controlling execution. It facilitates natural language interaction with LLDB, streamlining tasks such as loading executables, setting breakpoints, and analyzing stack traces. Designed for seamless AI-assisted debugging workflows, LLDB-MCP enhances productivity by bridging advanced debugging capabilities with AI-driven interfaces.

• ⭐ 63
• MCP
• stass/lldb-mcp

Sourcerer MCP provides a Model Context Protocol (MCP) server that enables AI agents to perform semantic code search and navigation. By indexing codebases at the function, class, and chunk level, it allows agents to retrieve only the necessary code snippets, greatly reducing token consumption. The tool integrates with Tree-sitter for language parsing and OpenAI for generating code embeddings, supporting advanced contextual code understanding without full file ingestion.

• ⭐ 95
• MCP
• st3v3nmw/sourcerer-mcp

SpaceBridge-MCP offers a Model Context Protocol (MCP) server that enables AI assistants and coding tools to interact directly with the SpaceBridge issue aggregation platform. It supports searching, creating, viewing, and updating issues across multiple trackers such as Jira and GitHub, using natural language requests. It also provides automated duplicate detection with LLM-based comparison to streamline issue creation workflows. The server acts as a bridge between AI-powered development environments and issue management systems, enhancing context sharing and productivity.

• ⭐ 5
• MCP
• spacecode-ai/SpaceBridge-MCP

Sequa MCP acts as a seamless integration layer, connecting Sequa’s knowledge engine with various AI coding assistants and IDEs via the Model Context Protocol (MCP). It enables tools to leverage Sequa’s contextual knowledge streams, enhancing code understanding and task execution across multiple repositories. The solution provides a simple proxy command to interface with standardized MCP transports, supporting configuration in popular environments such as Cursor, Claude, VSCode, and others. Its core purpose is to deliver deep, project-specific context to LLM agents through a unified and streamable endpoint.

• ⭐ 16
• MCP
• sequa-ai/sequa-mcp

Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

• ⭐ 281
• MCP
• SDGLBL/mcp-claude-code

SonarQube MCP Server offers a Model Context Protocol (MCP) server that integrates with SonarQube, enabling AI assistants to access code quality metrics, issues, and analysis results programmatically. It supports retrieving detailed quality metrics, filtering issues, reviewing security hotspots, analyzing branches and pull requests, and monitoring project health. The server facilitates multi-project analysis, contextual code review, and improved assistant workflows through a standardized protocol.

• ⭐ 101
• MCP
• sapientpants/sonarqube-mcp-server

Package Version MCP Server acts as an MCP-compliant server that assists large language models in fetching the latest stable versions of packages from a variety of registries such as npm, PyPI, Maven Central, Go Proxy, Swift Packages, AWS Bedrock, Docker Hub, GitHub Container Registry, and GitHub Actions. It can be integrated via command-line, URL, or containers and is tailored for development environments and tools that require accurate package versioning for code generation or recommendations. The solution is adaptable and is transitioning towards incorporation in the broader mcp-devtools suite.

• ⭐ 118
• MCP
• sammcj/mcp-package-version

GitHub Repo MCP enables AI assistants and clients to explore GitHub repositories by navigating directories and viewing file contents using the Model Context Protocol (MCP). It is compatible with popular MCP clients such as Cursor, Windsurf, and Claude Desktop via the stdio protocol. The server provides tools to list repository directories and fetch file content, allowing for streamlined repository browsing in AI-powered workflows. Installation is straightforward via NPX, Smithery, or direct configuration in MCP-capable IDEs.

• ⭐ 20
• MCP
• Ryan0204/github-repo-mcp

Rootly MCP Server provides an MCP-compliant server to access and manage Rootly's incident management API from within editors like Cursor, Windsurf, and Claude. It enables context-rich workflows and tool generation based on Rootly’s OpenAPI specification, allowing users to resolve incidents directly within their development environment. The server supports flexible authentication and dynamic resource generation while ensuring smart pagination to optimize editor context windows.

• ⭐ 36
• MCP
• Rootly-AI-Labs/Rootly-MCP-server

@reapi/mcp-openapi is a Model Context Protocol (MCP) server that loads and serves multiple OpenAPI specifications, making APIs available to LLM-powered IDEs and development tools. It enables Large Language Models to access, interpret, and work directly with OpenAPI docs within code editors such as Cursor. The server supports dereferenced schemas, maintains an API catalog, and offers project-specific or global configuration. Sponsored by ReAPI, it bridges the gap between API specifications and AI-powered developer environments.

• ⭐ 71
• MCP
• ReAPI-com/mcp-openapi

Xcode MCP Server provides an MCP-compliant interface for AI agents to interact with Xcode projects on macOS. It supports project management, simulator control, CocoaPods and Swift Package Manager integration, and advanced file and build operations. Enhanced error handling and multi-project support enable seamless automation and context management for complex Xcode workflows.

• ⭐ 330
• MCP
• r-huijts/xcode-mcp-server

docker-mcp is a Model Context Protocol (MCP) server that enables robust Docker container and compose stack management via Claude AI. It offers easy installation through Smithery or manual setup, supporting container creation, Docker Compose stack deployment, log retrieval, and monitoring. Integration with the Claude Desktop app is straightforward, and the included MCP Inspector aids debugging. This tool simplifies Docker operations for automation and AI model interactions.

• ⭐ 419
• MCP
• QuantGeekDev/docker-mcp

locust-mcp-server provides a Model Context Protocol (MCP) server for executing Locust load tests, allowing seamless connection between Locust and AI-powered development environments. It offers easy configuration, real-time test output, and both headless and UI testing modes. The project features a simple API for customizable load testing scenarios and supports various runtime and user parameters.

• ⭐ 9
• MCP
• QAInsights/locust-mcp-server