Guru MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Guru through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Guru Assistant",
instructions=(
"You help users interact with Guru. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Guru"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 12 tools from Guru through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Guru, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Guru MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Guru
Why Use OpenAI Agents SDK with the Guru MCP Server
OpenAI Agents SDK provides unique advantages when paired with Guru through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Guru + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Guru MCP Server delivers measurable value.
Automated workflows: build agents that query Guru, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Guru, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Guru tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Guru to resolve tickets, look up records, and update statuses without human intervention
Guru MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Guru to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Guru to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Guru + OpenAI Agents SDK FAQ
Common questions about integrating Guru MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
