Skip to main content

MCP server exposing TestRail API endpoints as tools for LLMs

Project description

TestRail MCP Server

Tests Python 3.11 | 3.12 | 3.13 PyPI - Version PyPI - Downloads License: MIT

Connect your AI coding assistant to TestRail — manage test cases, runs, results, and more directly from VS Code, Cursor, Claude Desktop, or Claude Code. Built on the Model Context Protocol and powered by testrail_api_module.

Features

  • Dynamic tool discovery — endpoints are introspected from testrail_api_module at startup, so new API coverage is picked up automatically
  • LLM-friendly — instead of registering hundreds of tools, provides a category-based discovery pattern so models can explore available operations without being overwhelmed

Requirements

  • Python 3.11+
  • uv

Installation

Step 1 — Install tram-mcp once

uv tool install tram-mcp

This puts a tram-mcp binary on your PATH (typically ~/.local/bin/tram-mcp on macOS/Linux, %APPDATA%\Python\Scripts\tram-mcp.exe on Windows).

tram-mcp then auto-updates itself: on launch (at most once per day) it spawns a detached uv tool upgrade tram-mcp in the background. The current process keeps running on the existing binary; the upgrade lands on the next launch. Set TRAM_MCP_NO_AUTO_UPDATE=1 to disable, or run uv tool upgrade tram-mcp manually anytime.

Why this and not uvx tram-mcp? uvx re-resolves and re-extracts wheels on every launch. On Windows this races with Defender / OneDrive scanning the uv cache and intermittently fails with Access is denied. (os error -2147024891) — the server starts, then exits before it can respond. Even on a healthy machine, a cold uvx cache costs ~4 s+ and can exceed an MCP client's startup timeout. Installing once removes both problems.

Step 2 — Configure your MCP client

Claude Desktop

Add to your Claude Desktop config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "testrail": {
      "command": "tram-mcp",
      "env": {
        "TESTRAIL_URL": "https://yourinstance.testrail.io",
        "TESTRAIL_USERNAME": "your-email@example.com",
        "TESTRAIL_API_KEY": "your-api-key"
      }
    }
  }
}

Claude Code

claude mcp add testrail \
  -e TESTRAIL_URL=https://yourinstance.testrail.io \
  -e TESTRAIL_USERNAME=your-email@example.com \
  -e TESTRAIL_API_KEY=your-api-key \
  -- tram-mcp

VS Code / VS Code Insiders

Create .vscode/mcp.json in your project (or add to your User Settings):

{
  "servers": {
    "testrail": {
      "type": "stdio",
      "command": "tram-mcp",
      "env": {
        "TESTRAIL_URL": "",
        "TESTRAIL_USERNAME": "",
        "TESTRAIL_API_KEY": ""
      }
    }
  }
}

VS Code supports ${input:variableName} placeholders to prompt for values at startup.

Cursor

Create .cursor/mcp.json in your project (or ~/.cursor/mcp.json globally):

{
  "mcpServers": {
    "testrail": {
      "command": "tram-mcp",
      "env": {
        "TESTRAIL_URL": "https://yourinstance.testrail.io",
        "TESTRAIL_USERNAME": "your-email@example.com",
        "TESTRAIL_API_KEY": "your-api-key"
      }
    }
  }
}

Alternative — no-install via uvx

If you prefer not to maintain a separate install, you can use uvx tram-mcp as the command (with "args": ["tram-mcp"]) — Cursor / VS Code / etc. style. This re-resolves on each launch, so a cold cache pays a noticeable ~4 s cost that can intermittently exceed MCP client startup timeouts. The launch-time auto-update (see above) also no-ops in this mode — uvx already pulls fresh on each invocation.

Not recommended on Windows. uvx's per-launch wheel extraction races Windows Defender real-time scanning and OneDrive sync over the uv cache, producing intermittent Failed to install: <wheel>. Caused by: Access is denied. (os error -2147024891) errors and "server failed to start" behavior that retries fix. Use the uv tool install path above instead.

Configuration

The server requires TestRail credentials via environment variables:

Variable Required Description
TESTRAIL_URL Yes Your TestRail instance URL (e.g. https://example.testrail.io)
TESTRAIL_USERNAME Yes TestRail username or email
TESTRAIL_API_KEY Yes* TestRail API key
TESTRAIL_PASSWORD Yes* TestRail password (alternative to API key)

*Either TESTRAIL_API_KEY or TESTRAIL_PASSWORD must be set. API key is recommended.

Development

# Install dependencies
uv sync

# Run the server locally
uv run tram_mcp

# Run tests
uv run pytest

# Run a single test
uv run pytest path/to/test.py::test_name -v

Releasing

Merging a PR to main automatically tags the version and publishes to PyPI. You must bump the version before merging:

uv version 0.6.0  # update version in pyproject.toml

Also bump manifest.json's version to match — both files must agree, and the .mcpb upload is rejected when the version isn't incremented. If you forget to bump, the PyPI publish is skipped (the existing version tag already exists on PyPI).

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tram_mcp-0.6.0.tar.gz (88.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tram_mcp-0.6.0-py3-none-any.whl (18.2 kB view details)

Uploaded Python 3

File details

Details for the file tram_mcp-0.6.0.tar.gz.

File metadata

  • Download URL: tram_mcp-0.6.0.tar.gz
  • Upload date:
  • Size: 88.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for tram_mcp-0.6.0.tar.gz
Algorithm Hash digest
SHA256 f41598641130c6e821187ddfa00a73a93bef85e27ffa712a890ff0aa7706521d
MD5 e99ef8b683f971d3f146a0ba5d689cc5
BLAKE2b-256 58d31e6730d5d1206b6612f030859218a0c787e3ceabfbda480f9547dd3db432

See more details on using hashes here.

File details

Details for the file tram_mcp-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: tram_mcp-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 18.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for tram_mcp-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1507ae1db1c95e6d2a9ae6c22fcb4dda7694e0cfffc4ba8595b6f261f96919ef
MD5 3a7c60fdc0308d3b093e9401eebd529b
BLAKE2b-256 6ee5a931c9a8f0d9841311aeedd57445494d03d21db1dd1148d4d5b64be8dcbd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page