Crawler Summary
AI agent crew that automates IT incident response — ticket triage, root cause analysis, and runbook generation using CrewAI + 5 MCP servers + Google Gemini. CrewAI MCP IT Ops Agents **A multi-agent system that automates IT incident response — ticket triage, root cause analysis, and runbook generation — powered by CrewAI, Google Gemini, and 5 production MCP servers from the $1.** $1 $1 --- The Bottleneck in Small IT Teams Small engineering teams face a fundamental problem: when an incident hits at 3 AM, the on-call engineer is often someone who has never touched the affec Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
crewai-mcp-it-ops-agents is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB REPOS, runtime-metrics, public facts pack
AI agent crew that automates IT incident response — ticket triage, root cause analysis, and runbook generation using CrewAI + 5 MCP servers + Google Gemini. CrewAI MCP IT Ops Agents **A multi-agent system that automates IT incident response — ticket triage, root cause analysis, and runbook generation — powered by CrewAI, Google Gemini, and 5 production MCP servers from the $1.** $1 $1 --- The Bottleneck in Small IT Teams Small engineering teams face a fundamental problem: when an incident hits at 3 AM, the on-call engineer is often someone who has never touched the affec
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Vinkius Labs
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Vinkius Labs
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
3
Snippets
0
Languages
python
bash
git clone https://github.com/vinkius-labs/crewai-mcp-it-ops-agents.git cd crewai-mcp-it-ops-agents python -m venv .venv && source .venv/bin/activate pip install -e .
bash
cp .env.example .env # Add your Gemini API key and 5 Vinkius MCP URLs
bash
# Validate it-ops validate # Investigate an incident it-ops investigate "payments-api" "Error rate spiked to 15% on /checkout endpoint" # Database issue it-ops investigate "user-db" "Connection pool exhausted, queries timing out after 30s" # Auth service it-ops investigate "auth-service" "Users unable to log in, getting 503 errors"
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
AI agent crew that automates IT incident response — ticket triage, root cause analysis, and runbook generation using CrewAI + 5 MCP servers + Google Gemini. CrewAI MCP IT Ops Agents **A multi-agent system that automates IT incident response — ticket triage, root cause analysis, and runbook generation — powered by CrewAI, Google Gemini, and 5 production MCP servers from the $1.** $1 $1 --- The Bottleneck in Small IT Teams Small engineering teams face a fundamental problem: when an incident hits at 3 AM, the on-call engineer is often someone who has never touched the affec
A multi-agent system that automates IT incident response — ticket triage, root cause analysis, and runbook generation — powered by CrewAI, Google Gemini, and 5 production MCP servers from the Vinkius AI Gateway.
Small engineering teams face a fundamental problem: when an incident hits at 3 AM, the on-call engineer is often someone who has never touched the affected service. They spend the first 30 minutes just figuring out what is broken — searching Jira for similar tickets, checking PagerDuty for related alerts, scrolling through Slack for context from the team, and digging through Confluence for the runbook that may or may not exist.
This project automates that first 30 minutes. Three AI agents handle incident triage, root cause analysis, and runbook creation in a single run. They connect to the tools your team already uses — Jira, PagerDuty, Sentry, Slack, and Confluence — through the Model Context Protocol (MCP), pulling real data instead of guessing.
The result is an incident response document that gives the on-call engineer everything they need: what is broken, why it is broken, and exactly how to fix it.
The first agent searches for context. It connects to two MCP servers:
It classifies priority (P1-P4) based on blast radius and business impact, and flags if this is a recurring issue with a known fix.
The second agent performs forensics. It connects to two MCP servers:
It builds a chronological timeline and correlates Sentry errors with Slack deployment messages to determine whether a recent change is the likely cause.
The third agent creates the runbook. It connects to one MCP server:
It produces a step-by-step troubleshooting guide with exact commands, expected outputs, fallback steps, escalation paths, and prevention measures — written for someone who has never touched the service before.
| MCP Server | Agent | Purpose | |---|---|---| | jira-cloud-mcp | Incident Triager | Tickets, issues, past incidents | | pagerduty-mcp | Incident Triager | Active alerts, on-call schedules | | sentry-mcp | Root Cause Analyst | Errors, stack traces, error rates | | slack-mcp | Root Cause Analyst | Deployment mentions, team context | | confluence-mcp | Runbook Writer | Service docs, architecture guides |
All hosted on the Vinkius AI Gateway. Deploy each one in under a minute.
The Vinkius AI Gateway offers additional ops MCP servers:
Browse the full catalog of 2,600+ production-ready MCP servers at vinkius.com/en/categories.
git clone https://github.com/vinkius-labs/crewai-mcp-it-ops-agents.git
cd crewai-mcp-it-ops-agents
python -m venv .venv && source .venv/bin/activate
pip install -e .
cp .env.example .env
# Add your Gemini API key and 5 Vinkius MCP URLs
# Validate
it-ops validate
# Investigate an incident
it-ops investigate "payments-api" "Error rate spiked to 15% on /checkout endpoint"
# Database issue
it-ops investigate "user-db" "Connection pool exhausted, queries timing out after 30s"
# Auth service
it-ops investigate "auth-service" "Users unable to log in, getting 503 errors"
| Section | Content | |---|---| | Triage Summary | Priority, related tickets, historical matches | | Root Cause Analysis | Probable cause, evidence, error patterns, timeline | | Blast Radius | Affected users, endpoints, and services | | Runbook | Step-by-step commands with expected outputs | | Escalation Path | Who to contact if the runbook does not resolve | | Prevention | Measures to prevent recurrence |
@CrewBaseIncidentSummary, RootCauseAnalysis, RunbookThe Model Context Protocol is an open standard for connecting AI to external tools. See modelcontextprotocol.io.
Yes. Replace jira-cloud-mcp with linear-mcp in the config.
No. It accelerates them. Instead of spending 30 minutes gathering context, they get a pre-built incident report and can jump straight to resolution.
Please read the Contributing Guide.
MIT — see LICENSE.
Built by Vinkius Labs with CrewAI and the Vinkius AI Gateway.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
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Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T00:08:50.949Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Vinkius Labs",
"href": "https://github.com/vinkius-labs/crewai-mcp-it-ops-agents",
"sourceUrl": "https://github.com/vinkius-labs/crewai-mcp-it-ops-agents",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:03.624Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:03.624Z",
"isPublic": true
},
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-vinkius-labs-crewai-mcp-it-ops-agents/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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