testrails-mcp
Supports converting Jira tickets into TestRail test cases by extracting acceptance criteria and creating cases, with a confirmation step before creation.
Provides CRUD operations for TestRail test cases, test runs, and results, enabling management of test projects, suites, sections, and recording test outcomes.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@testrails-mcpList all projects in TestRail"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
testrails-mcp
An MCP (Model Context Protocol) server that exposes TestRail CRUD operations to agentic coding tools like Claude Code and Codex CLI, plus a bundled agent skill for turning Jira tickets into TestRail cases.
What it does
testrails-mcp is a thin, async wrapper around the TestRail API v2. Once
registered with your agent, it lets the model:
Navigate your TestRail instance — list projects, suites, and sections.
Manage test cases — list, read, create, update, and (soft-)delete cases.
Manage runs — list, read, create, and close test runs; list the tests inside a run.
Record results — add and read results for cases within a run.
It speaks stdio (the standard MCP transport for local tools), authenticates
with TestRail via HTTP Basic auth using your email and API key, and reads
credentials from environment variables or a local .env file.
The repo also ships a portable agent skill (skills/jira-to-testrail/) that
auto-triggers when a user asks to convert a Jira ticket into TestRail cases.
The skill orchestrates a Jira MCP (any vendor) + this MCP to produce one case
per acceptance criterion, with a confirmation gate before anything is created.
Related MCP server: TestRail MCP Server
Requirements
Python 3.11+
A TestRail account with API access enabled (admin → Site Settings → API)
A TestRail API key — generate one at My Settings → API Keys → Add Key
An agent runtime that speaks MCP — Claude Code, Codex CLI, Claude Desktop, or any other MCP-compatible client
Setup
git clone <this-repo> testrails-mcp
cd testrails-mcp
uv venv
uv pip install -e .
cp .env.example .env
# then edit .env with your TestRail URL, email, and API key.env shape:
TESTRAIL_URL=https://yourcompany.testrail.io
TESTRAIL_USER=you@example.com
TESTRAIL_API_KEY=...Verify it launches:
.venv/bin/testrails-mcp
# (should sit silently waiting on stdin; Ctrl+C to exit)Confirm the protocol surface:
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | .venv/bin/testrails-mcpFor an interactive smoke test with form inputs for every tool:
npx @modelcontextprotocol/inspector .venv/bin/testrails-mcpRegister with your agent
Claude Code
claude mcp add testrails -- /absolute/path/to/.venv/bin/testrails-mcpOr add to ~/.claude.json (user-scope) or .mcp.json (project-scope):
{
"mcpServers": {
"testrails": {
"command": "/absolute/path/to/.venv/bin/testrails-mcp"
}
}
}Codex CLI
Add to ~/.codex/config.toml:
[mcp_servers.testrails]
command = "/absolute/path/to/.venv/bin/testrails-mcp"Other clients (Claude Desktop, etc.)
Use the standard MCP server entry: command =
/absolute/path/to/.venv/bin/testrails-mcp, no args.
Tools
Navigation
list_projects()list_suites(project_id)list_sections(project_id, suite_id?)
Cases (CRUD)
list_cases(project_id, suite_id?, section_id?, limit?, offset?)get_case(case_id)add_case(section_id, title, type_id?, priority_id?, estimate?, refs?, custom_fields?)update_case(case_id, title?, type_id?, priority_id?, estimate?, refs?, custom_fields?)delete_case(case_id, soft=True)—soft=Truepreviews; passsoft=Falseto actually delete
Runs
list_runs(project_id)get_run(run_id)add_run(project_id, name, suite_id?, description?, case_ids?, include_all?)close_run(run_id)list_tests(run_id)
Results
add_result_for_case(run_id, case_id, status_id, comment?, version?, elapsed?, defects?)get_results_for_case(run_id, case_id)
TestRail default status IDs: 1=Passed, 2=Blocked, 3=Untested, 4=Retest, 5=Failed.
custom_fields on add_case / update_case accepts any TestRail custom field
the instance has configured — commonly custom_steps, custom_preconds,
custom_expected, or custom_steps_separated.
Skills
This repo ships one bundled skill — a portable SKILL.md that works in both
Claude Code and Codex CLI. Skills are auto-loaded by the agent based on their
description and activate when the user's prompt matches.
jira-to-testrail
Converts a Jira ticket into TestRail test cases. Triggers on phrases like:
"Turn PROJ-1234 into test cases"
"Create TestRail cases from this ticket"
"Generate QA coverage for "
What it does:
Verifies both a Jira MCP and this TestRail MCP are connected.
Reads the ticket, extracts acceptance criteria (refuses to invent any).
Auto-discovers the instance's custom-field shape by sampling an existing case in the target section.
Drafts one case per AC with behavior-focused titles and mapped priority.
Shows you the plan and waits for confirmation before creating.
Creates the cases and reports IDs + URLs as a table.
On partial failure, asks how to proceed rather than auto-retrying.
Requires a Jira MCP to also be installed (e.g. Atlassian's official MCP, or
mcp-atlassian) — the skill is vendor-agnostic about which one.
Installing the skill
Skills live in a directory the agent watches. Symlink the bundled skill into
your agent's skills location so git pull keeps it up to date:
Claude Code
mkdir -p ~/.claude/skills
ln -s "$(pwd)/skills/jira-to-testrail" ~/.claude/skills/jira-to-testrailCodex CLI
mkdir -p ~/.agents/skills
ln -s "$(pwd)/skills/jira-to-testrail" ~/.agents/skills/jira-to-testrailProject-scoped (Codex only)
If you'd rather scope the skill to a single repo, drop a copy into that repo's
.agents/skills/ directory — Codex walks up from the cwd to find skills.
Prefer a copy over a symlink:
cp -r skills/jira-to-testrail ~/.claude/skills/ # or ~/.agents/skills/Verifying the skill loaded
Claude Code: run
/skillsand look forjira-to-testrailin the list.Codex CLI: start a new session and ask "what skills do you have?" — it should mention
jira-to-testrail(Codex loads skill names/descriptions at session start).
If it doesn't show up, double-check:
The symlink target exists (
ls -la ~/.claude/skills/jira-to-testrail).SKILL.mdis directly inside that folder, not nested further.The frontmatter (
name,description) is present and valid YAML.
Project layout
testrails_mcp/
├── pyproject.toml
├── README.md
├── .env.example
├── .gitignore
├── src/testrails_mcp/
│ ├── __init__.py
│ ├── client.py # async httpx client (Basic auth)
│ └── server.py # FastMCP tools, stdio entrypoint
└── skills/
└── jira-to-testrail/
└── SKILL.md # portable Claude/Codex skillTroubleshooting
Missing TestRail credentialson startup —.envnot found or missing a key. The server reads.envfrom the cwd it's launched in; if your agent spawns it from a different directory, set the vars in your shell profile or agent config instead.TestRail API 401— wrong email or API key. Confirm the key in My Settings → API Keys and that the user has API access on the instance.TestRail API 403on create/update/delete — the user lacks write permission on the project, suite, or section.delete_casereturns a preview — that's the default (soft=True). Passsoft=Falseto actually delete.Skill doesn't trigger — descriptions are matched fuzzily, but very short prompts may miss. Try a phrase closer to the examples in the skill's description. As a fallback you can invoke it explicitly (
/skill jira-to-testrailin Codex; mention the skill name directly in Claude Code).
Roadmap
Phase 1 (current): Cases, Runs, Results, plus the Jira → TestRail skill.
Likely next:
Sections CRUD (so the skill can create new sections if needed).
Milestones and Plans.
A
bulk_add_result_for_casestool (TestRail has a native batch endpoint).A second skill for bug report → regression case flows.
License
MIT.
Maintenance
Resources
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