Guru MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Guru through the 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 Guru "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Guru?"
)
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 Guru MCP Server
Connect your Guru (Getguru) workspace to any AI agent to automate your knowledge management and enterprise wiki workflows through the Model Context Protocol (MCP). Guru is the AI-powered source of truth that organizes company information into verified cards. This MCP server enables you to retrieve knowledge cards, manage collections, and search your entire workspace directly through natural conversation.
Pydantic AI validates every Guru tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the 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.
Key Features
- Knowledge Card Oversight — List all knowledge cards, fetch detailed structured content (extended metadata), and create or update cards instantly.
- Collection Management — Access and list high-level enterprise groupings (collections) to understand how your knowledge is organized.
- AI-Powered Search — Execute powerful searches across all enterprise knowledge silos to isolate answers and verify facts.
- Board Discovery — Access board structures that pin collections for specific department or project discovery.
- Security & Access Control — List user groups and workspace members to verify knowledge permissions and authorized scopes.
- Verification Tracking — Monitor the verification state of your cards to ensure your AI assistant is always using the source of truth.
- Real-time Synchronization — Keep your company's collective intelligence accessible to your AI assistant without leaving your primary workspace.
The Guru MCP Server exposes 12 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 Guru to Pydantic AI via MCP
Follow these steps to integrate the Guru 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 12 tools from Guru with type-safe schemas
Why Use Pydantic AI with the Guru MCP Server
Pydantic AI provides unique advantages when paired with Guru 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 Guru integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Guru connection logic from agent behavior for testable, maintainable code
Guru + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Guru MCP Server delivers measurable value.
Type-safe data pipelines: query Guru with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Guru tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Guru and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Guru responses and write comprehensive agent tests
Guru MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect Guru to Pydantic AI via MCP:
create_knowledge_card
Create new card
delete_knowledge_card
Remove a card
get_card_details
Get card content
get_collection_details
Get collection metadata
list_access_groups
List user groups
list_knowledge_boards
List boards
list_knowledge_cards
List knowledge cards
list_knowledge_collections
List all collections
list_workspace_members
List team members
search_knowledge_base
Search all cards
update_knowledge_card
Modify a card
verify_api_connection
Check connection
Example Prompts for Guru in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Guru immediately.
"Search my Guru wiki for 'Remote Work Policy'."
"List all my knowledge collections in Guru."
"Create a new knowledge card: 'How to setup MCP' in the 'Engineering' collection."
Troubleshooting Guru MCP Server with Pydantic AI
Common issues when connecting Guru to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGuru + Pydantic AI FAQ
Common questions about integrating Guru 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 Guru 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 Guru to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.