TestOps MCP Server
Enables AI assistants to interact with TestOps 5.25 for managing projects, test runs, test plans, and test cases via MCP tools.
README
TestOps MCP Server
Model Context Protocol server for TestOps 5.25
Installation
npm install @syn7xx/testops-mcp-server
Or use directly via npx:
npx @syn7xx/testops-mcp-server --url <testops-url> --token <api-token>
Short flags: -u / -t / -h (same as --url, --token, --help).
Environment variables: TESTOPS_URL, TESTOPS_TOKEN (used when flags are omitted).
Build
npm run build
Run
npm start -- --url <testops-url> --token <api-token>
Or with npx (if not installed globally):
npx @syn7xx/testops-mcp-server --url <testops-url> --token <api-token>
TLS verification (optional)
If TestOps is served with a self-signed certificate or HTTPS is intercepted by a corporate proxy and Node.js fails TLS validation, you can disable certificate verification for that Node process by setting:
export NODE_TLS_REJECT_UNAUTHORIZED=0
Then start the server as usual (npm start, npx, or your MCP command). In MCP configs that support server environment variables, set the same name next to TESTOPS_URL / TESTOPS_TOKEN (e.g. OpenCode environment, or your client’s env field).
Security: this disables TLS peer verification for all HTTPS calls from that process. Prefer installing the correct CA in the system trust store; use NODE_TLS_REJECT_UNAUTHORIZED=0 only when necessary and in a trusted environment.
MCP setup in AI tools
Configs differ by product:
| Product | Typical config file | Root key | Notes |
|---|---|---|---|
| Cursor, Windsurf, Kilo Code, Zed | mcp.json (paths vary) |
mcpServers |
command + args |
| Visual Studio Code | .vscode/mcp.json or user MCP config |
servers |
Official docs — not mcpServers |
| Claude Desktop | claude_desktop_config.json |
mcpServers |
Same idea as Cursor |
| OpenCode | opencode.jsonc (project or user config) |
mcp |
type: "local", command as array, env under environment |
Do not commit real tokens; use env vars or local-only config.
Cursor, Windsurf, Kilo Code, Zed
These use top-level mcpServers, each entry has command (string) and args (array).
Cursor — ~/.cursor/mcp.json or project .cursor/mcp.json:
{
"mcpServers": {
"testops": {
"command": "npx",
"args": [
"-y",
"@syn7xx/testops-mcp-server",
"--url",
"https://your-testops.com",
"--token",
"your-token"
]
}
}
}
Windsurf — ~/.config/windsurf/mcp.json or project .windsurf/mcp.json (same structure).
Kilo Code — ~/.kilocode/mcp.json or project .kilocode/mcp.json (same structure).
Zed — ~/.config/zed/mcp.json (same structure).
Visual Studio Code
VS Code stores MCP config in mcp.json with top-level servers, not mcpServers (see Add and manage MCP servers in VS Code and the MCP configuration reference).
Workspace file: .vscode/mcp.json, or run MCP: Open User Configuration for a global file.
{
"servers": {
"testops": {
"command": "npx",
"args": [
"-y",
"@syn7xx/testops-mcp-server",
"--url",
"https://your-testops.com",
"--token",
"your-token"
]
}
}
}
For sensitive values, prefer input variables or env files as described in the reference.
OpenCode
OpenCode does not use mcpServers. Define servers under mcp, set type: "local", pass the process as a command array (e.g. npx, -y, @syn7xx/testops-mcp-server, …), and optional env in environment (not env). See OpenCode MCP servers.
Example — opencode.jsonc in the project root or in the global OpenCode config:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"testops": {
"type": "local",
"command": [
"npx",
"-y",
"@syn7xx/testops-mcp-server",
"--url",
"https://your-testops.com",
"--token",
"your-token"
],
"enabled": true
}
}
}
Using environment variables instead of flags:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"testops": {
"type": "local",
"command": ["npx", "-y", "@syn7xx/testops-mcp-server"],
"environment": {
"TESTOPS_URL": "https://your-testops.com",
"TESTOPS_TOKEN": "your-token"
},
"enabled": true
}
}
}
Claude Desktop
macOS — ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"testops": {
"command": "npx",
"args": [
"@syn7xx/testops-mcp-server",
"--url",
"https://your-testops.com",
"--token",
"your-token"
]
}
}
}
On Windows, the config lives under %APPDATA%\Claude\ — see Anthropic’s Claude Desktop documentation for the exact path.
Global install (optional)
If you prefer a fixed binary path instead of npx:
npm install -g @syn7xx/testops-mcp-server
Then use "command": "testops-mcp-server" and "args": ["--url", "...", "--token", "..."] under mcpServers (Cursor, Claude, …) or servers (VS Code), or the command array in OpenCode.
Tools
Project
| Tool | Description |
|---|---|
project_list |
List projects with pagination |
project_find_by_name |
Find project by exact or partial name match |
project_get_by_id |
Get project by ID |
Launch (test run)
| Tool | Description |
|---|---|
launch_create |
Create a launch directly |
launch_stop |
Close/stop a launch (end the run) |
launch_get_statistic |
Run summary: counts by status + progress ready |
launch_list_test_results |
Flat paginated test results for a launch (sort can be a string or array for multiple sort params) |
Test Plan
| Tool | Description |
|---|---|
testplan_get |
Get test plan by ID |
testplan_get_test_cases |
Get test cases from test plan with pagination |
testplan_run |
Start a launch from a test plan |
testplan_sync |
Sync test plan with source |
Test Case
Routing is defined in each tool’s description in tools/list. For step actions and expected results as scenario JSON, use testcase_get_scenario or testcase_get_step (same behavior).
| Tool | Description |
|---|---|
testcase_get |
Get test case by ID |
testcase_get_detail |
Summary with flattened step strings and custom fields (not raw scenario JSON) |
testcase_get_scenario |
Scenario JSON: steps and expected results |
testcase_get_step |
Same as testcase_get_scenario (alias for LLM-friendly naming) |
testcase_update_step |
Update a step in scenario |
testcase_set_scenario |
Replace all steps in scenario |
testcase_get_custom_fields |
Get custom field values for a test case |
testcase_update_custom_fields |
Set custom field values on a test case |
testcase_search_by_aql |
Search test cases using AQL query |
testcase_list_in_tree |
List test cases in a project tree with pagination |
testcase_create |
Create a test case with optional steps, tags, custom fields, precondition/postcondition |
Project Custom Fields
| Tool | Description |
|---|---|
project_get_custom_fields |
Get custom field definitions for a project with pagination ({ items, total, page, size }) |
project_get_custom_field_values |
Get available values for a custom field with pagination ({ items, total, page, size }) |
Project Structure
src/
├── shared/openapi/ # HTTP DTOs (common-dto, project-dto, test-plan-dto, test-case-dto, launch-dto, launch-test-result-dto)
├── shared/ # Utilities, API client, pagination
├── domain/
│ ├── test-case/ # Business logic (service, scenario, custom-fields, create)
│ └── ... # Other domains (project, launch, test-plan)
├── presentation/
│ ├── tool-utils.ts # handleResult helper for tools
│ ├── test-case/
│ │ └── tools/ # MCP tools (register, testcase-read, testcase-write, testcase-list, project-cf, schemas)
│ └── ... # Other presentations (project, launch, test-plan)
├── index.ts # Entry point
└── server.ts # MCP server configuration
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.