Developer Tools MCP servers
MCP servers for code editors, version control, package managers, debuggers, and IDE integrations.
About Developer Tools MCP servers
Developer Tools is the largest MCP server category. These servers wrap the systems developers use every day: GitHub repositories, Git history, local file systems, JetBrains IDEs, Sentry errors, and Docker containers. They turn a coding agent into a teammate that can read code, open pull requests, run tests, and debug production issues.
All Developer Tools MCP servers
9 servers, ordered by community adoption.
Filesystem MCP
Controlled local file access for AI agents
A reference MCP server that lets assistants read, write, and manage approved local directories with explicit boundaries and safe path handling. It is the canonical example for any agent that needs structured access to a developer machine.
GitHub MCP Server
Repository intelligence inside agent sessions
The official GitHub MCP server exposes repositories, issues, pull requests, code search, and Actions context to coding agents. It is published and maintained by GitHub and is the most widely adopted MCP server in production.
Fetch MCP
HTTP requests with model-friendly output
A simple HTTP fetch MCP server that returns cleaned-up HTML, Markdown, or JSON. It is the recommended tool for agents that need to read a page without a full browser stack.
Git MCP
Read, search, and manipulate local repositories
Expose common Git operations to MCP clients: status, log, diff, blame, branch management, and commit history search. A perfect companion to coding agents that work on local clones.
Sentry MCP
Errors, releases, and stack traces for agents
Surface Sentry issues, releases, and stack traces inside agent sessions so debugging tools can propose fixes against real error context. Read-only by default with optional write scopes.
JetBrains MCP
IDE-aware tools for coding agents
Bridge JetBrains IDEs to MCP clients with project awareness, refactoring actions, and code intelligence. The companion plugin works with IntelliJ, PyCharm, WebStorm, and GoLand.
Docker MCP
Container and compose for agents
Manage Docker containers, images, and Compose stacks from MCP clients. A practical primitive for agents that provision services and run side-effect tools.
Datadog MCP
Metrics, logs, and traces for agents
Surface Datadog metrics, logs, and APM traces inside MCP clients. A foundation for SRE and observability agents that reason about production systems.
1Password MCP
Secure secrets for agent workflows
Read and resolve secrets from 1Password vaults through MCP. Designed for agents that need scoped access to credentials, API keys, and infrastructure secrets.
How to install a Developer Tools MCP server
- Pick a server from the list above and read its detail page.
- Copy the install command. Most servers run via
npx,uvx, ordocker. - Open your AI client's MCP configuration and add the command.
- Restart the client and verify the tools appear in the model context.
Need a refresher? Read the MCP guide for the full walkthrough.