8,565 published MCP servers in this category · page 1 of 143 · all categories
Developer-tool MCP integrations connect an assistant to parts of a software workflow, such as repository context, issue records, version-control operations or a supported execution environment.
Identify the repository, branch and working directory before asking for a change. Check which tools read files, execute commands or modify remote records. A repository connector and a local command runner solve different parts of the job.
Use a concrete issue with an expected result. Review the patch and run the appropriate existing checks. Record incomplete fixes, unexpected changes and missing context as failures even when the explanation sounds convincing. The server supplies access; the project checks establish whether the change works.
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Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
Feed real design data to your coding assistant — layout, tokens and components straight from Figma files.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Read and write Jira, Confluence, Bitbucket, JSM and Compass from your AI client — with your own permissions.
Connects AI agents to a Linux machine by providing a lightweight API bridge for executing commands.
A curated list of resources focused on the security aspects of the Model Context Protocol (MCP).
Integrates security testing and penetration testing tools into AI workflows via the Model Context Protocol.
Provides a server enabling models to better understand Vue applications by exposing the component tree, state, routes, and Pinia data.
Build for Shopify with current APIs — the official Dev MCP server for schema-accurate storefront and admin code.
Curates a list of Model Context Protocol (MCP) servers for Open Source Intelligence (OSINT) tasks.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Facilitates software development planning through an interactive and structured approach.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
Connect Flutter applications with AI coding assistants via the Model Context Protocol.
Manage and interact with databases directly within VS Code, combining the power of databases with the convenience of a code editor.
Enables decoupled agent-tool interaction by providing a working pattern for Server-Sent Events (SSE) based Model Context Protocol (MCP) clients and
Connects Claude Desktop to a Redmine instance, enabling interaction with Redmine's API via natural language.
Exposes REST APIs defined by OpenAPI specifications as Model Context Protocol (MCP) tools, facilitating seamless integration into MCP-based workflows.
Enables AI agents to interact with Webflow using the Model Context Protocol (MCP) and the Webflow JavaScript SDK.
Empowers Claude to improve complex reasoning through a dedicated structured thinking space.
Connects agentic systems to search systems using a searXNG instance.
Enables interaction with Naver's OpenAPI services through a Model Context Protocol (MCP) server.
Connect to Miro Whiteboard Application and enable board manipulation and data extraction.
Integrates Claude AI with Cinema 4D, enabling prompt-driven 3D modeling, scene creation, and manipulation.
Enables intelligent chat applications through the Model Context Protocol, supporting both web and desktop environments.
Enables AI-assisted debugging by providing a Model Context Protocol (MCP) server for GDB interaction.
Simplifies the installation and configuration of Model Context Protocol (MCP) servers within the Cursor IDE.
Delivers jobs based on specified needs via a simple MCP server.
Automates resume updates by analyzing coding projects using AI.
Implements a Model Context Protocol server using the WordPress REST API.
Manipulates video files using FFmpeg to resize videos and extract audio in various formats.
Chains calls to other Model Context Protocol (MCP) tools, reducing token usage by enabling sequential tool execution with result passing.
Runs Python code locally within an interactive REPL environment.
Deploys and monitors the status of CrewAI workflows.
Enables agent frameworks like Model Context Protocol (MCP) to integrate with Maton APIs through function calling.
Enables AI assistants to securely interact with a local file system for reading, writing, and managing files within a designated project directory.
Fetches structured data from Hacker News, including top, new, ask, show, and job stories.
Provides a Model Context Protocol (MCP) server implementation based on the Cephalon Cloud Flux model API.
Enables AI assistants to deeply understand .NET codebases through the Model Context Protocol.
Enhances a Model Context Protocol server with WebSocket functionality for real-time data updates.
Implements a minimalistic MCP server using a bash script for basic mathematical operations.
Supports multiple language implementations of the Votars MCP server for seamless integration with the Votars AI platform.
Integrates Flux's image generation capabilities into AI coding assistants, enabling image generation, manipulation, and control directly within IDEs.
Executes command-line operations through the Model Context Protocol (MCP).
Enables interaction with GitLab accounts to manage repositories, merge requests, CI/CD, and project settings.
Streamlines cybersecurity reconnaissance by providing access to Shodan and VirusTotal APIs through a Model Context Protocol interface.
Enables interaction with Babashka, a Clojure interpreter, through the Model Context Protocol.