Sumo Logic MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sumo Logic as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Sumo Logic. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Sumo Logic?"
)
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 Sumo Logic MCP Server
Empower your AI workflows with the powerful machine data analytics computing of Sumo Logic. Connect your conversational interface to your security, incident management, and monitoring environments, enabling your LLM to actively query diagnostic logs, monitor data ingestion pipelines securely, and track account consumption seamlessly. Automate log analysis organically from the terminal, avoiding complex dashboard integrations entirely.
LlamaIndex agents combine Sumo Logic tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Log Search & Diagnosis — Formulate deep queries into your data leveraging
create_search_job, track asynchronous execution withget_search_status, and securely fetch the resultant incident analytics runningget_search_results. - Data Ingestion Monitoring — Systematically browse telemetry sources assigning context mapping via
list_collectorsand inspect granular configurations evaluatingget_collector_details. - Account Administration — Enforce operational compliance rapidly evaluating access levels using
list_account_rolesand inspecting associated internal teams vialist_account_users. - Operations Analytics — Trace organizational usage data assessing
get_account_billingand confirm external alert hookings directly mapping systems vialist_active_webhooks.
The Sumo Logic MCP Server exposes 9 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 Sumo Logic to LlamaIndex via MCP
Follow these steps to integrate the Sumo Logic 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 9 tools from Sumo Logic
Why Use LlamaIndex with the Sumo Logic MCP Server
LlamaIndex provides unique advantages when paired with Sumo Logic through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Sumo Logic tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Sumo Logic tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Sumo Logic, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Sumo Logic tools were called, what data was returned, and how it influenced the final answer
Sumo Logic + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Sumo Logic MCP Server delivers measurable value.
Hybrid search: combine Sumo Logic real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Sumo Logic 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 Sumo Logic for fresh data
Analytical workflows: chain Sumo Logic queries with LlamaIndex's data connectors to build multi-source analytical reports
Sumo Logic MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Sumo Logic to LlamaIndex via MCP:
create_search_job
Provide a query string, start time, and end time. Returns a search job ID for tracking. Creates a new log search job
get_account_billing
Retrieves billing and usage metrics
get_collector_details
Retrieves details for a specific collector
get_search_results
Retrieves the results of a completed search job
get_search_status
Retrieves the status of an existing search job
list_account_roles
Lists all security roles in the account
list_account_users
Lists all registered users in the account
list_active_webhooks
Lists configured alert webhooks
list_collectors
Lists all data collectors configured in Sumo Logic
Example Prompts for Sumo Logic in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Sumo Logic immediately.
"Fetch all account users along with active local integration webhooks sequentially properly."
"Create a new search job tracking 'auth_failure' errors over the last 24 hours."
"Retrieve the exact search results from the active job ID once the asynchronous monitoring reports completion."
Troubleshooting Sumo Logic MCP Server with LlamaIndex
Common issues when connecting Sumo Logic to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSumo Logic + LlamaIndex FAQ
Common questions about integrating Sumo Logic 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 Sumo Logic 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 Sumo Logic to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.