A
licenseNot graded
qualityD
maintenanceEnables AI models (Claude, ChatGPT, GitHub Copilot) to run and analyze local tests, rerun failures, and orchestrate QA workflows using existing UI and API test frameworks.
3 npm
MIT
Tesults MCP
Officialby tesults
tesults-mcp
Tesults MCP server. Connect AI agents and MCP-compatible tools to your Tesults test results, insights, and targets.
Documentation
Full setup and usage documentation: https://www.tesults.com/docs/api/mcp
Related MCP server: cypress-runner-mcp
Quick start
claude mcp add tesults-mcp npx tesults-mcp -e TESULTS_API_TOKEN=your-api-tokenReporting-only mode
Set TESULTS_READ_ONLY=true in the MCP server's environment alongside
TESULTS_API_TOKEN. This exposes only the seven reporting and insight tools.
Target creation, editing, deletion and token regeneration are not registered,
and non-GET API requests are blocked locally.
Existing configurations remain unchanged when this setting is omitted or false.
This is a restriction in this MCP server, not a reduction in the API token's
permissions. Keep the token private. Insight tools can still generate and cache
AI analyses on the server; they do not change your test results or targets.
Requests time out after 60 seconds and responses are limited to 10 MiB.
For large result sets, request fewer runs or use cases=false for summaries.
API failures are returned as tool errors, not successful answers.
These options apply to this source version and require an updated installation once released. They do not change an already installed published package.
Offline checks
Run node --test tests/hardening.test.js. Tests do not call Tesults or use a real token.
License
MIT
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
Related MCP Connectors
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Approved test intent, reviewed Playwright automation and run evidence, inside your editor.
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