MCP server exposing TestRail API endpoints as tools for LLMs
Project description
TestRail MCP Server
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_moduleat 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?uvxre-resolves and re-extracts wheels on every launch. On Windows this races with Defender / OneDrive scanning the uv cache and intermittently fails withAccess 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 intermittentFailed to install: <wheel>. Caused by: Access is denied. (os error -2147024891)errors and "server failed to start" behavior that retries fix. Use theuv tool installpath 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
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