Incident.io MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Incident.io as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Incident.io. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Incident.io?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Incident.io MCP Server
Empower your AI agents to manage your incident response lifecycle with Incident.io. This MCP server allows you to list and retrieve incidents, manage roles and types, track custom fields, and view on-call schedules directly through the Incident.io API. Ideal for automating SRE workflows and incident coordination.
LlamaIndex agents combine Incident.io tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
The Incident.io MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Incident.io to LlamaIndex via MCP
Follow these steps to integrate the Incident.io MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Incident.io
Why Use LlamaIndex with the Incident.io MCP Server
LlamaIndex provides unique advantages when paired with Incident.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Incident.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Incident.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Incident.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Incident.io tools were called, what data was returned, and how it influenced the final answer
Incident.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Incident.io MCP Server delivers measurable value.
Hybrid search: combine Incident.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Incident.io to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Incident.io for fresh data
Analytical workflows: chain Incident.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Incident.io MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Incident.io to LlamaIndex via MCP:
get_incident
Retrieves details for a specific incident
list_catalog_types
Lists all defined catalog types
list_custom_fields
Lists all defined custom fields
list_incident_roles
Lists all defined incident roles
list_incident_types
Lists all defined incident types
list_incidents
Lists all incidents
list_schedules
Lists all on-call schedules
list_severities
Lists all defined incident severities
list_teams
Lists all teams
list_users
Lists all users
Example Prompts for Incident.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Incident.io immediately.
"List all ongoing incidents in Incident.io."
"Show me the on-call schedules for this week."
"Check the details for incident ID 'abc-123'."
Troubleshooting Incident.io MCP Server with LlamaIndex
Common issues when connecting Incident.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpIncident.io + LlamaIndex FAQ
Common questions about integrating Incident.io MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Incident.io with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Incident.io to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.