Tettra MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Tettra as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="tettra_agent",
tools=tools,
system_message=(
"You help users with Tettra. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Tettra MCP Server
Connect your Tettra internal knowledge base to any AI agent and bring your company's documentation directly into your developer workflow. No more switching tabs to look up API specs or onboarding guides.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Tettra tools. Connect 12 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Deep Search — Perform full-text searches across all your company's Tettra pages to instantly find answers and organizational knowledge
- Knowledge Retrieval — Read the complete markdown/HTML content of any page, technical guide, or team policy natively inside your chat
- Content Creation — Command your agent to draft and publish new wiki pages, or suggest documentation updates on the fly
- Category Navigation — Browse through your team's top-level categories, root folders, and subcategories visually
- Q&A Management — Post new questions to your team's internal Q&A board or list unanswered questions right from your IDE
The Tettra MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen 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 Tettra to AutoGen via MCP
Follow these steps to integrate the Tettra MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Tettra automatically
Why Use AutoGen with the Tettra MCP Server
AutoGen provides unique advantages when paired with Tettra through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Tettra tools to solve complex tasks
Role-based architecture lets you assign Tettra tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Tettra tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Tettra tool responses in an isolated environment
Tettra + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Tettra MCP Server delivers measurable value.
Collaborative analysis: one agent queries Tettra while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Tettra, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Tettra data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Tettra responses in a sandboxed execution environment
Tettra MCP Tools for AutoGen (12)
These 12 tools become available when you connect Tettra to AutoGen via MCP:
create_qa_question
Posts a new question in the Tettra Q&A system
create_wiki_page
Provide title, content, and category ID. Creates a new wiki page in a specific category
get_category_details
Retrieves details for a specific Tettra category
get_page_content
Returns title and Markdown/HTML body. Retrieves the full content and metadata of a specific Tettra page
list_categories
Lists all top-level categories in the Tettra wiki
list_pages_in_category
Lists all wiki pages within a specific category
list_qa_questions
Lists all questions posted in the Tettra Q&A system
list_subcategories
Lists all subcategories under a specific parent category
search_pages
Returns up to 5 matching pages. Full-text search across all Tettra wiki pages
suggest_new_page
Suggests a new wiki page to the team
update_wiki_page
Provide the page ID and the new fields. Updates the title or content of an existing Tettra page
verify_wiki_page
Marks a Tettra page as verified and up-to-date
Example Prompts for Tettra in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Tettra immediately.
"Search the wiki for 'Database Migration Checklist'."
"Create a new wiki page in the 'Support' category explaining how to handle refund requests."
"Mark page ID 883 as verified and up to date."
Troubleshooting Tettra MCP Server with AutoGen
Common issues when connecting Tettra to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Tettra + AutoGen FAQ
Common questions about integrating Tettra MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Tettra with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 Tettra to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
