Skip to main content

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

Metadata

Release files for tram-mcp 0.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tram-mcp 0.6.0
File Size Uploaded Provenance
tram_mcp-0.6.0.tar.gz 88.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for tram-mcp 0.6.0
File Interpreter ABI Platform
tram_mcp-0.6.0-py3-none-any.whl Python 3 none any Details

Total release size: 106.8 kB

Release files / tram_mcp-0.6.0.tar.gz

Download URL tram_mcp-0.6.0.tar.gz
Size 88.6 kB
Tags Source
SHA-256 checksum
How to use checksums
f41598641130c6e821187ddfa00a73a93bef85e27ffa712a890ff0aa7706521d
BLAKE2b-256 checksum
How to use checksums
58d31e6730d5d1206b6612f030859218a0c787e3ceabfbda480f9547dd3db432
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.13

Release files / tram_mcp-0.6.0-py3-none-any.whl

Download URL tram_mcp-0.6.0-py3-none-any.whl
Size 18.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1507ae1db1c95e6d2a9ae6c22fcb4dda7694e0cfffc4ba8595b6f261f96919ef
BLAKE2b-256 checksum
How to use checksums
6ee5a931c9a8f0d9841311aeedd57445494d03d21db1dd1148d4d5b64be8dcbd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.13.13

Security for tram-mcp 0.6.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page