MCPs tagged with # developer-tools

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

• ⭐ 283
• MCP
• cyberchitta/llm-context.py

BundlerMCP is a Model Context Protocol (MCP) server that allows AI agents to query information about dependencies in a Ruby project's Gemfile. Built on fast-mcp, it exposes tools to list all bundled Ruby gems or get detailed information about a specific gem, including version, description, documentation links, and installation details. Users can configure the server for their development setup, and it provides integrations for clients like Claude and Cursor as well as compatibility with the MCP Inspector. It supports logging and custom Gemfile paths via environment variables for flexible usage.

• ⭐ 19
• MCP
• subelsky/bundler_mcp

MCP-Typescribe is an open-source implementation of the Model Context Protocol (MCP) focused on providing LLMs with contextual, real-time access to TypeScript API documentation. It parses TypeScript (and other) definitions using TypeDoc-generated JSON and serves this information via a queryable server that supports tools used by AI coding assistants. The solution enables AI agents to dynamically explore, search, and understand unknown APIs, accelerating onboarding and supporting agentic behaviors in code generation.

• ⭐ 45
• MCP
• yWorks/mcp-typescribe

Awesome Ionic MCP server delivers real-time access to Ionic Framework components, Capacitor plugins, and developer resources using the Model Context Protocol (MCP). It provides standardized tools for retrieving TypeScript definitions, API documentation, code examples, and plugin information, streamlining the mobile app development process across React, Angular, Vue, and JavaScript projects. The server aggregates and curates data from official sources including ionicframework.com, capacitorjs.com, and community repositories, offering seamless integration with MCP-compatible AI development platforms.

• ⭐ 23
• MCP
• Tommertom/awesome-ionic-mcp

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

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

PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

• ⭐ 138
• MCP
• PostHog/mcp

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

• ⭐ 577
• MCP
• bgauryy/octocode-mcp

User Feedback MCP is a simple Model Context Protocol (MCP) server designed to facilitate human-in-the-loop workflows within tools such as Cline and Cursor. It allows applications, especially desktop software undergoing development, to request and incorporate user feedback before finalizing AI-assisted tasks. The system integrates with existing development pipelines and provides customizable configuration through a .user-feedback.json file and a web-based interface for easy interaction.

• ⭐ 50
• MCP
• mrexodia/user-feedback-mcp

Provides a Model Context Protocol (MCP) server that enables interactions with iOS simulators. Allows users to obtain simulator information, automate UI interactions such as tapping, typing, swiping, and retrieve accessibility data. Designed for robust integration with automation, testing, and developer workflows via standardized MCP commands.

• ⭐ 1,231
• MCP
• joshuayoes/ios-simulator-mcp

Gradle MCP Server acts as a Model Context Protocol (MCP) server enabling AI tools to interact with Gradle projects through structured APIs. It allows clients to inspect project details, execute Gradle tasks, and run tests while retrieving detailed results in JSON format. This server supports both information querying and task orchestration, designed to integrate with platforms like VSCode extensions and Claude Desktop. It leverages the Gradle Tooling API to provide comprehensive build and test insights.

• ⭐ 38
• MCP
• IlyaGulya/gradle-mcp-server

char-index-mcp is a Model Context Protocol (MCP) server offering character-level, index-based string manipulation tools. It provides utilities for finding, splitting, and modifying strings with precise control over character positions, making it highly suited for test code generation that requires exact text handling. The server can be easily installed and integrated with platforms like Claude and Cursor, and features batch processing and regex-based utilities.

• ⭐ 0
• MCP
• agent-hanju/char-index-mcp

Mindpilot MCP provides AI coding agents with the capability to visualize, analyze, and understand complex codebases through interactive diagrams. It operates as a Model Context Protocol (MCP) server, enabling seamless integration with multiple development environments such as VS Code, Cursor, Windsurf, Zed, and Claude Code. Mindpilot ensures local processing for privacy, supports multi-client connections, and offers robust configuration options for server operation and data management. Users can export diagrams and adjust analytics settings for improved user control.

• ⭐ 61
• MCP
• abrinsmead/mindpilot-mcp

CrateDocs MCP is an MCP (Model Context Protocol) server designed to provide AI models with access to Rust crate documentation. It enables lookup of crate-level and item-level documentation, as well as efficient searching of Rust crates on crates.io. The system supports various server modes, offers multiple output formats, and includes features for both developers and large language models.

• ⭐ 9
• MCP
• PromptExecution/cratedocs-mcp

Rust Docs MCP Server provides AI coding assistants with a focused tool to query current documentation for specific Rust crates. It runs as a standard MCP server over stdio, enabling context-driven semantic searches and LLM-generated answers based only on retrieved documentation. It fetches crate docs, generates embeddings, and leverages OpenAI APIs for accurate and relevant code support, with support for caching and multi-crate operation.

• ⭐ 208
• MCP
• Govcraft/rust-docs-mcp-server