Sumo Logic MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Sumo Logic through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Sumo Logic "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Sumo Logic?"
)
print(result.data)
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.
Pydantic AI validates every Sumo Logic tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Sumo Logic MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Sumo Logic MCP Server
Pydantic AI provides unique advantages when paired with Sumo Logic through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Sumo Logic integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Sumo Logic connection logic from agent behavior for testable, maintainable code
Sumo Logic + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Sumo Logic MCP Server delivers measurable value.
Type-safe data pipelines: query Sumo Logic with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Sumo Logic tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Sumo Logic and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Sumo Logic responses and write comprehensive agent tests
Sumo Logic MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect Sumo Logic to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Sumo Logic to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSumo Logic + Pydantic AI FAQ
Common questions about integrating Sumo Logic MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.