MCP server for Gaffer test history - give your AI assistant memory of your tests
MCP server for Gaffer test history - give your AI assistant memory of your tests
This MCP server connects AI coding assistants like Claude Code and Cursor to your Gaffer test history and coverage data. It allows AI to:
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| list_projects | List all projects you have access to |
| get_project_health | Get health metrics (pass rate, flaky count, trends) |
| list_test_runs | List recent test runs with optional filtering |
| get_test_run_details | Get parsed test results for a specific test run |
| get_report | Get report file URLs for a test run |
| get_report_browser_url | Get a browser-navigable URL for viewing reports |
| get_test_history | Get pass/fail history for a specific test |
| get_flaky_tests | Get tests with high flip rates (pass↔fail) |
| get_slowest_tests | Get slowest tests by P95 duration |
| compare_test_metrics | Compare test performance between commits |
| get_failure_clusters | Group failed tests by root cause (error similarity) |
| get_upload_status | Check if CI results are uploaded and processed |
| get_coverage_summary | Get overall coverage metrics and trends |
| get_coverage_for_file | Get coverage for specific files or paths |
{
"mcpServers": {
"gaffer": {
"command": "npx",
"args": [
"-y",
"@gaffer-sh/mcp"
],
"env": {
"GAFFER_API_KEY": "YOUR_GAFFER_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| GAFFER_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Turn any YouTube video, article, PDF, or image into a reusable Claude Code skill — without leaving your editor.
Query your simpletel OpenTelemetry traces and account usage from a coding agent.
阿里云可观测 MCP Server 的 Go 语言实现，为 AI 模型提供对阿里云日志服务（SLS）和云监控（CMS）的结构化数据访问能力。基于 [Model Context Protocol](https://modelcontextprotocol.io/) 协议，可与
MCP server for PreReason, the Context API for financial agents. 17 pre-reasoned market briefings with trend signals, regime classification