CI Investigator MCP
Provides tools to analyze and debug GitHub Actions CI failures, including summarizing failures, detecting flaky tests, and suggesting fixes.
README
CI Investigator MCP
Published MCP server for investigating GitHub Actions CI failures.
This package exposes tools to:
- list recent failed workflow runs
- summarize a failed run from logs
- compare a failed run with the previous success
- detect flaky jobs on a branch
- explain likely root cause category
- suggest remediation and validation steps
- report failure trends and CI health
- identify likely regression commit/PR
- generate failure digest for notifications
Available Tools
1) get_failed_runs
List recent failed workflow runs for a repository.
Input:
owner(string, required): repo owner or orgrepo(string, required): repo namelimit(number, optional, default: 10, min: 1, max: 100)
Returns:
- array of failed runs with id, workflow name, branch, short commit, URL, and timestamps
2) summarize_failure
Fetch and summarize a failed run.
Input:
owner(string, required)repo(string, required)run_id(number, required): failed workflow run id
Returns:
- run id
- failed job name
- failed step name
- log excerpt text
Notes:
- attempts run log download first
- falls back to failed job logs
- falls back to check-run annotations when logs are unavailable
3) compare_with_last_success
Compare a failed run with the previous successful run on the same branch.
Input:
owner(string, required)repo(string, required)run_id(number, required): failed workflow run id
Returns:
- failed run snapshot
- last successful run snapshot (or
null) - diff fields:
commit_changedauthor_changedevent_changedcommits_between(GitHub compare URL or fallback text)
4) detect_flaky_tests
Detect flaky jobs by analyzing recent completed runs on a branch.
Input:
owner(string, required)repo(string, required)branch(string, required)limit(number, optional, default: 30, min: 1, max: 100)
Returns:
- repository and branch metadata
- number of analyzed runs
- flaky jobs with pass/fail counts and flakiness score
5) explain_failure_root_cause
Classify likely failure cause based on logs and fallback data.
Input:
owner(string, required)repo(string, required)run_id(number, required)
Returns:
- cause category (
test_regression,infra_network,dependency,timeout,lint_or_type,auth_permissions,unknown) - confidence and supporting evidence lines
- failed job and failed step
6) suggest_fix_for_failure
Suggest practical remediation and validation steps for a failed run.
Input:
owner(string, required)repo(string, required)run_id(number, required)
Returns:
- classified category
- targeted suggestions
- validation checklist
7) list_failure_trends
Summarize recurring failed jobs over a configurable time window.
Input:
owner(string, required)repo(string, required)days(number, optional, default: 14)branch(string, optional)limit(number, optional, default: 100)
Returns:
- failure totals in the selected window
- top failing jobs with occurrence counts and first/last seen timestamps
8) find_regression_pr_or_commit
Find likely regression commit and linked PR for a failed run.
Input:
owner(string, required)repo(string, required)run_id(number, required)
Returns:
- suspect commit SHA
- compare URL from last success to failed commit
- suspected PR metadata (if available)
9) ci_health_score
Compute CI health score for a branch using pass/fail and flaky-job signals.
Input:
owner(string, required)repo(string, required)branch(string, required)days(number, optional, default: 14)limit(number, optional, default: 100)
Returns:
- pass/failure rates
- flaky jobs count
- overall health score (0-100)
10) failure_notifications_digest
Build deduplicated digest of recent failures for alerting/triage workflows.
Input:
owner(string, required)repo(string, required)interval_hours(number, optional, default: 24)branch(string, optional)limit(number, optional, default: 20)
Returns:
- grouped failure signatures
- occurrence counts
- latest run references and compact example summary
Requirements
- Node.js 20+
- GitHub token in environment
Recommended token permissions:
actions:readchecks:readcontents:read
Using an MCP Client
Running a server on its own is less useful than wiring it into an MCP client.
Set GITHUB_TOKEN in your client config:
{
"servers": {
"ci-investigator": {
"command": "npx",
"args": ["-y", "ci-investigator-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}
On Windows, wrap npx with cmd /c:
{
"servers": {
"ci-investigator": {
"command": "cmd",
"args": ["/c", "npx", "-y", "ci-investigator-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token"
}
}
}
}
Troubleshooting
401or403errors: verifyGITHUB_TOKENand permissions.- Empty or partial logs: some workflows/log artifacts can be unavailable; the server uses fallback strategies.
- Run not found: confirm
run_id,owner, andrepoare correct.
IDE can't find node or npx
Some IDEs (VS Code, Cursor) launch with a limited PATH and can't find Node.js installed via nvm or similar version managers.
Run the following to find the full paths:
which node && which npx
Then use the full path in your MCP config:
{
"servers": {
"ci-investigator": {
"command": "/Users/your-user/.nvm/versions/node/v22.14.0/bin/npx",
"args": ["-y", "ci-investigator-mcp"],
"env": {
"GITHUB_TOKEN": "your_token",
"PATH": "/Users/your-user/.nvm/versions/node/v22.14.0/bin:/usr/local/bin:/usr/bin:/bin"
}
}
}
}
License
ISC
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