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developer-tools

Trunk▌

by trunk-io

Trunk CI Autopilot: automatically detect and fix failing tests to keep your builds green and accelerate delivery.

CI Autopilot tools for fixing failing tests

github stars

★ 0

GitHubWebsite
Automated test failure diagnosisStreamable HTTP interface

best for

  • / Development teams with flaky test suites
  • / CI/CD pipelines with frequent test failures
  • / Developers spending too much time debugging tests

capabilities

  • / Analyze failing test outputs
  • / Generate fixes for broken tests
  • / Identify root causes of test failures
  • / Suggest code changes to resolve issues
  • / Monitor CI pipeline health

what it does

Automatically analyzes and fixes failing tests in your CI pipeline. Helps developers resolve test failures without manual debugging.

about

Trunk is an official MCP server published by trunk-io that provides AI assistants with tools and capabilities via the Model Context Protocol. Trunk CI Autopilot: automatically detect and fix failing tests to keep your builds green and accelerate delivery. It is categorized under developer tools.

how to install

You can install Trunk in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Trunk is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

[![Trunk.io](https://github.com/user-attachments/assets/c98a90ee-439b-4a9c-bb9a-69dc0e7e2c7e)](https://trunk.io) [![docs](https://img.shields.io/badge/-docs-darkgreen?logo=readthedocs&logoColor=ffffff)][docs] [![vscode](https://img.shields.io/visual-studio-marketplace/i/trunk.io?color=0078d7&label=vscode&logo=visualstudiocode)][vscode] [![slack](https://img.shields.io/badge/-slack-611f69?logo=slack)][slack] [![openssf](https://api.securityscorecards.dev/projects/github.com/trunk-io/trunk-action/badge)](https://api.securityscorecards.dev/projects/github.com/trunk-io/trunk-action) # Trunk.io MCP Server Leverage the power of Trunk Flaky Tests from your IDE, or the AI application of your choosing. ## Use MCP Server Trunk Flaky Tests comes with a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/docs/getting-started/intro) server. AI applications like Claude Code or Cursor can use MCP servers to connect to data sources, tools, and workflows — enabling them to access key information and perform tasks. ### Supported AI Applications | Application | Supported | Guide | Plugin | | ---------------------------------------------------------------------------------------------------- | --------- | ------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- | | [Cursor](https://docs.trunk.io/flaky-tests/use-mcp-server/configuration/cursor-ide) | Yes | [Setup guide](https://docs.trunk.io/flaky-tests/use-mcp-server/configuration/cursor-ide) | [Cursor plugin](https://github.com/trunk-io/cursor-plugin) | | [Claude Code](https://docs.trunk.io/flaky-tests/use-mcp-server/configuration/claude-code-cli) | Yes | [Setup guide](https://docs.trunk.io/flaky-tests/use-mcp-server/configuration/claude-code-cli) | [Claude Code plugin](https://github.com/trunk-io/claude-code-plugin) | | [GitHub Copilot](https://docs.trunk.io/flaky-tests/use-mcp-server/configuration/github-copilot-ide) | Yes | [Setup guide](https://docs.trunk.io/flaky-tests/use-mcp-server/configuration/github-copilot-ide) | | | [Gemini CLI](https://docs.trunk.io/flaky-tests/use-mcp-server/configuration/gemini-cli) | Yes | [Setup guide](https://docs.trunk.io/flaky-tests/use-mcp-server/configuration/gemini-cli) | | > [!NOTE] > Gemini Code Assist and Windsurf are not supported due to their limited support for MCP servers. ## Quick Start ### Cursor Add to `.cursor/mcp.json`: ```json { "mcpServers": { "trunk": { "url": "https://mcp.trunk.io/mcp" } } } ``` ### Claude Code ```bash claude mcp add trunk --transport streamable-http https://mcp.trunk.io/mcp ``` ### GitHub Copilot Add to `.vscode/mcp.json`: ```json { "servers": { "trunk": { "type": "http", "url": "https://mcp.trunk.io/mcp" } } } ``` ### Gemini CLI Add to `~/.gemini/settings.json`: ```json { "mcpServers": { "trunk": { "httpUrl": "https://mcp.trunk.io/mcp" } } } ``` ## API The MCP server is available at `https://mcp.trunk.io/mcp` and exposes the following tools: | Tool | Description | | ----------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------- | | [`fix-flaky-test`](https://docs.trunk.io/flaky-tests/use-mcp-server/mcp-tool-reference/get-root-cause-analysis) | Retrieve root cause analysis and fix suggestions for flaky tests | | [`setup-trunk-uploads`](https://docs.trunk.io/flaky-tests/use-mcp-server/mcp-tool-reference/set-up-test-uploads) | Generate a setup plan to upload test results to Trunk | ## Authorization The Trunk MCP server supports the **OAuth 2.0 + OpenID Connect** standard for MCP authorization. When connecting from a supported client, you will be prompted to authenticate via your Trunk account. --- **Made with love by the [Trunk.io](https://trunk.io) team** [slack]: https://slack.trunk.io [docs]: https://docs.trunk.io [vscode]: https://marketplace.visualstudio.com/items?itemName=Trunk.io

FAQ

What is the Trunk MCP server?
Trunk is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Trunk?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.5★★★★★10 reviews
  • ★★★★★Shikha Mishra· Oct 10, 2024

    Trunk is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Piyush G· Sep 9, 2024

    We evaluated Trunk against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Trunk is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Sakshi Patil· Jul 7, 2024

    Trunk reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Ganesh Mohane· Jun 6, 2024

    I recommend Trunk for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Oshnikdeep· May 5, 2024

    Strong directory entry: Trunk surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Dhruvi Jain· Apr 4, 2024

    Trunk has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Rahul Santra· Mar 3, 2024

    According to our notes, Trunk benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Pratham Ware· Feb 2, 2024

    We wired Trunk into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Yash Thakker· Jan 1, 2024

    Trunk is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.