incidentflow-mcp

MCP server for read-only incident investigation across Kubernetes, Grafana, Prometheus, Slack, and Argo CD

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit d331d65200 (2026-10-13).

Selected work

Dmytro Serbeniuk
@dimaserbenyuk

“Analytics”. 6 files, 290 lines in src/incidentflow_mcp, tests.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-24. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

argocdfastapigrafanaincident-managementincident-responsekubernetesmcpmodel-context-protocol

Example questions

The prompt

Paste it into your AI agent. It clones IncidentFlow-io/incidentflow-mcp at the pinned commit and indexes it on your machine.

Search the GitHub repository IncidentFlow-io/incidentflow-mcp with XERJ (https://hub.xerj.org/corpus/incidentflow-io--incidentflow-mcp).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/IncidentFlow-io/incidentflow-mcp incidentflow-mcp && git -C incidentflow-mcp checkout d331d65200184101d2174e97f831160743f45f88
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./incidentflow-mcp --url http://127.0.0.1:9200 --prefix incidentflow-mcp --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.