Testrail Mcp Server

io.github.uarlouskiPublished by GitHub account uarlouskiv3.3.1Updated Oct 28, 2026

Connect AI assistants to TestRail: manage test cases, suites, runs, results, and attachments.

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Overview

AI-generated overview

Local MCP server that connects an AI assistant to TestRail so it can browse projects, manage test cases, run tests, record results and upload attachments.

What you can do
  • Browse projects, suites, sections and users to map the QA structure
  • Fetch, create, update and bulk-edit test cases, with case fields, history and optional RAG export
  • Create and query test runs, list tests and results, and submit results by test or case ID
  • Upload and query attachments, and manage shared steps
  • Look up statuses, priorities, templates, labels and configurations
  • Delete entities when deletion is explicitly enabled
When to use it
Useful for QA engineers and test automation work where the assistant should read or edit TestRail directly from chat instead of copy-pasting: drafting test cases, starting runs, marking results, or exporting cases for a knowledge base. The bundled CLI also covers CI/CD pipelines that want the same operations without an LLM.
Requirements
Runs locally over stdio via npx on Node.js 18 or later. Requires TESTRAIL_INSTANCE_URL, TESTRAIL_USERNAME and TESTRAIL_API_KEY, plus a TestRail subscription with the API enabled instance-wide. Optional flags control read, write and delete permissions, tool disabling and feature tools.
Before you install
The API key is a credential and should be kept out of shared config files. Write operations are enabled by default, so the assistant can create and change cases, runs and results; set TESTRAIL_ALLOW_WRITE_OPERATIONS to false or disable tools by name for read-only use. Deletes are off unless TESTRAIL_ALLOW_DELETE_OPERATIONS is set to true. The RAG export tools are marked experimental.

Installation

In SourceWeft

  1. Open Testrail Mcp Server in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

🚀 TestRail MCP Server

Connect Claude, Cursor, Windsurf, and VS Code to TestRail — an open-source Model Context Protocol (MCP) server for AI-assisted test management.

Manage TestRail projects, search and create test cases, kick off test runs, record results, and attach files through natural-language conversation with your AI assistant — or from CI/CD with the bundled testrail-cli. Built for QA engineers and AI-assisted test automation.

[npm version] [npm downloads] [CI Status] [License] [TypeScript] [GitHub stars] [Score Badge] [M8ven Score] [M8ven Verified] [Smithery badge]

Compatible with: [Claude Desktop] [Cursor] [Windsurf] [VS Code]

📚 Documentation · Getting Started · Tool Reference · FAQ


What is the TestRail MCP Server?

The TestRail MCP Server is a free, open-source Model Context Protocol server that gives AI assistants direct, structured access to a TestRail instance through the TestRail API v2. Once configured, an assistant such as Claude Desktop, Cursor, Windsurf, or GitHub Copilot in VS Code can search test cases, draft new ones, start test runs, record results, and upload attachments on your behalf — without you leaving the chat window.

It exposes 35 tools, runs locally on Node.js 18+ over the MCP stdio transport, and is licensed under Apache 2.0. There is nothing to host or deploy: your MCP client launches it on demand with npx.

No context switching. No tedious copy-pasting. Just ask your AI.

[!NOTE] Compatibility baseline: tested and validated against TestRail 10.6.2 (API v2). Older TestRail instances (including pre-7.x pagination) are also supported via built-in backward compatibility. TestRail Cloud and self-hosted TestRail Server both work.

Table of contents

✨ Key Features & Capabilities

CapabilityDescription
🔍 Intelligent DiscoveryBrowse projects, test suites, and sections to automatically map your QA organization.
📋 Full Case ManagementFetch, create, update, and bulk-edit test cases with comprehensive custom field support.
▶️ Actionable ExecutionCreate test runs, update results by test_id or case_id, attach files, and track statuses.
🧠 Context-Aware AIDynamically exposes templates, fields, priorities, and statuses so LLMs generate valid, structured data.
🖥️ CLI & CI/CD NativeRun every tool from bash, GitHub Actions, GitLab CI, or Jenkins with zero LLM overhead.
🔐 Least-Privilege ControlsPer-mode permissions plus per-tool allowlisting; destructive deletes are off by default.

🚀 Quick Start Guide

1. Obtain your TestRail API key

Navigate to My Settings → API Keys in TestRail and generate a new key. Copy it immediately — TestRail shows it only once. The API must also be enabled instance-wide under Administration → Site Settings → API.

2. Configure your MCP client

Add the server to your MCP client configuration. The Claude Desktop example is shown below; Cursor, Windsurf, and VS Code use the same pattern (see the collapsible sections).

🤖 Claude Desktop

Add this to your claude_desktop_config.json:

json
{  "mcpServers": {    "testrail": {      "command": "npx",      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],      "env": {        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",        "TESTRAIL_USERNAME": "[email protected]",        "TESTRAIL_API_KEY": "your-api-key",        "TESTRAIL_ENABLE_SHARED_STEPS": "true"      }    }  }}
⌨️ Cursor

Open Settings → MCP → Add new MCP server, or edit .cursor/mcp.json in your project (~/.cursor/mcp.json for all projects):

json
{  "mcpServers": {    "testrail": {      "command": "npx",      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],      "env": {        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",        "TESTRAIL_USERNAME": "[email protected]",        "TESTRAIL_API_KEY": "your-api-key"      }    }  }}
🌊 Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

json
{  "mcpServers": {    "testrail": {      "command": "npx",      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],      "env": {        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",        "TESTRAIL_USERNAME": "[email protected]",        "TESTRAIL_API_KEY": "your-api-key"      }    }  }}
💻 VS Code

Add to .vscode/mcp.json. The inputs block keeps your API key out of the file:

json
{  "inputs": [    {      "id": "testrail-api-key",      "type": "promptString",      "description": "TestRail API key",      "password": true    }  ],  "servers": {    "testrail": {      "command": "npx",      "args": ["-y", "@uarlouski/testrail-mcp-server@latest"],      "env": {        "TESTRAIL_INSTANCE_URL": "https://your-instance.testrail.io",        "TESTRAIL_USERNAME": "[email protected]",        "TESTRAIL_API_KEY": "${input:testrail-api-key}"      }    }  }}
🌐 Other MCP Clients

Any MCP-compliant client can use this server, because it speaks the standard MCP stdio transport. Point your client at the npx command with the required environment variables — no port, URL, or transport configuration needed.

3. See it in action

Restart your client completely, then turbo-charge your QA workflow by asking your AI assistant:

  • "List all projects in TestRail to find the latest active project."
  • "Show me all active users in the project to find the right assignee."
  • "Show me all test cases in section 5 of project 3."
  • "Create a comprehensive test case for 'Login Validation' with detailed steps."
  • "Start a new test run containing cases from section 5."
  • "Mark test case C1042 as passed with the comment 'verified on staging'."

Full per-client setup instructions, including troubleshooting, are in the Getting Started guide.


🖥️ Command Line Interface (CLI) & CI/CD Automation

In addition to interacting via AI assistants, you can invoke any TestRail tool directly from shell scripts, terminal environments, and automated CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) using testrail-cli or npx — with zero LLM overhead.

  • Deterministic Execution: Returns standard Unix exit codes (0 on success, 1 on error).
  • Pipeline-Native Output: Emits clean JSON to stdout for piping into tools like jq, while diagnostics and errors go to stderr.
  • Zero Duplication: Reuses the exact same API client, retry logic, and validation schemas as the MCP server.

Invocation methods

bash
# Method 1: Direct npx subcommand (Recommended)npx @uarlouski/testrail-mcp-server cli <command> [flags]
# Method 2: Global or local binarytestrail-cli <command> [flags]
# Method 3: Via package runnernpx -p @uarlouski/testrail-mcp-server testrail-cli <command> [flags]

Examples

Query projects (query_project)
bash
# List all active projectsnpx @uarlouski/testrail-mcp-server cli query_project --action many
# Query a single project by IDnpx @uarlouski/testrail-mcp-server cli query_project --action one --project_id 1
Report automated test results (add_results_for_cases)
bash
# Submit results by case_id — what your test framework already knowsnpx @uarlouski/testrail-mcp-server cli add_results_for_cases \  --run_id 88 \  --results '[{"case_id":1042,"status_id":1,"comment":"Passed in CI"}]'
Export cases for knowledge base / RAG (export_cases_for_rag)
bash
# Export all cases for a project into Markdown & metadata sidecarsnpx @uarlouski/testrail-mcp-server cli export_cases_for_rag \  --project_id 1 \  --output_dir ./rag_exports
# Export specific cases by ID (comma-separated list)npx @uarlouski/testrail-mcp-server cli export_cases_for_rag \  --case_ids C101,C102,103 \  --output_dir ./rag_exports
Command discovery & flag documentation
bash
# List all available commandsnpx @uarlouski/testrail-mcp-server cli --help
# Show parameter options for a specific toolnpx @uarlouski/testrail-mcp-server cli query_project --help

See the CLI & CI/CD guide for complete GitHub Actions, GitLab CI, and Jenkins workflows.


⚙️ Environment Variables & Security Controls

VariableDescriptionRequiredDefault
TESTRAIL_INSTANCE_URLYour TestRail instance URL (e.g., https://example.testrail.io)✅
TESTRAIL_USERNAMEYour TestRail user email address✅
TESTRAIL_API_KEYYour TestRail API key (Guide)✅
TESTRAIL_ENABLE_SHARED_STEPSSet to true to enable Shared Steps management toolsfalse
TESTRAIL_ENABLE_CASE_HISTORYSet to true to enable Case History and revision tracking toolsfalse
TESTRAIL_ENABLE_RAG_TOOLSSet to true to enable experimental Knowledge Base / RAG export tools (export_cases_for_rag). Subject to breaking API changes.false
TESTRAIL_ALLOW_WRITE_OPERATIONSAllow write operations (e.g. adding/updating test cases, test runs, sections)true
TESTRAIL_ALLOW_READ_OPERATIONSAllow read operations (e.g. retrieving projects, test cases, templates)true
TESTRAIL_ALLOW_DELETE_OPERATIONSAllow delete operations (e.g. deleting cases or shared steps). Enabled strictly via true.false
TESTRAIL_ENABLE_DEPRECATED_TOOLSPreserved for backward compatibility with existing host configurations.true
TESTRAIL_DISABLED_TOOLSComma-separated list of specific tool names to disable (e.g., mutate_suite,delete_entity). Fails if invalid tool names are specified.-

With only the three required credentials, 27 of the 35 tools are registered. Ready-made read-only and least-privilege configurations are in the Configuration guide.


🧰 Available Tools

All 35 tools, grouped by area. Each declares a read, write, or delete mode, which the server surfaces to clients as MCP annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint).

AreaToolsReference
Discovery & Navigationquery_project, query_suite, mutate_suite, query_section, mutate_section, get_usersDocs
Test Case Managementget_case, get_cases, add_case, update_case, update_cases, get_case_fields, resolve_case_field, get_case_history, export_cases_for_ragDocs
Execution & Trackingquery_run, mutate_run, query_test, get_tests, get_results, add_results, add_results_for_casesDocs
Attachments & Mediaadd_attachment, query_attachmentDocs
Shared Stepsget_shared_step, get_shared_steps, get_shared_step_history, add_shared_step, update_shared_stepDocs
System Metadataget_statuses, get_priorities, get_case_fields, get_templates, get_labels, get_configurationsDocs
Deletiondelete_entityDocs

❓ Frequently Asked Questions

Which AI assistants and MCP clients are supported?

Any MCP-compliant client, because the server uses the standard MCP stdio transport. Setup is verified with Claude Desktop, Cursor, Windsurf, and VS Code. Other clients follow the same pattern: run npx -y @uarlouski/testrail-mcp-server@latest with three environment variables.

Which TestRail versions are supported?

The server targets TestRail API v2 and is tested against TestRail 10.6.2. Older instances work too — the client detects whether an endpoint returns a modern paginated response or a legacy bare array, so pre-7.x instances need no configuration. Both TestRail Cloud and self-hosted TestRail Server are supported.

Is it safe to give an AI assistant write access to TestRail?

Access is layered rather than all-or-nothing. Every tool declares a read, write, or delete mode; deletes are disabled unless you explicitly set TESTRAIL_ALLOW_DELETE_OPERATIONS=true. You can disable all writes with TESTRAIL_ALLOW_WRITE_OPERATIONS=false, or block individual tools by name with TESTRAIL_DISABLED_TOOLS. The server runs locally and talks only to your TestRail instance — there is no telemetry and no third-party service in the middle.

Is it free?

Yes — Apache 2.0 licensed, with no paid tier, licence key, or usage limit. You need your own TestRail subscription, and whatever your AI assistant costs. The CLI has no LLM cost at all.

Can I use it in CI/CD without an AI assistant?

Yes. The package ships a testrail-cli binary exposing every tool as a subcommand, reusing the same API client, retry logic, and validation schemas. JSON on stdout, diagnostics on stderr, exit code 0 or 1 — see the CLI guide.

How do I stop the AI from inventing custom fields that don't exist?

It can't. Before add_case or update_case sends anything, the server validates every field key against your instance's real schema (fetched via get_case_fields) and rejects unknown keys. Templates, priorities, statuses, and configurations are all exposed as tools too, so the model looks up correct IDs instead of guessing them.

How do I handle thousands of test cases without blowing the context window?

Pass output_file to get_cases (or output_dir to export_cases_for_rag). The server paginates the full result set, writes raw JSON to disk, and returns only a short summary to the model.

More answers in the full FAQ.


📚 Documentation & Complete Tool Reference

For a comprehensive guide, detailed configuration options, and a complete breakdown of all available tools, visit the official documentation site:

👉 TestRail MCP Server Documentation


🤝 Contributing

Open-source contributions are actively welcomed! Please feel free to open an issue for feature requests or submit a pull request for improvements.

📜 License

This project is licensed under the Apache License 2.0.


TestRail MCP Server · Engineered with the Model Context Protocol

Source: README.md at commit eeadcf5

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the server did not start.

Version history

6
  1. v3.3.1LatestOct 26, 2026
  2. v3.3.0Oct 20, 2026
  3. v3.2.0Oct 5, 2026
  4. v3.1.0Sep 25, 2026
  5. v3.0.0Sep 22, 2026
  6. v2.10.0Sep 16, 2026

Score

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