How do I get a Cody AI API key?

In the Cody AI dashboard, go to **Settings > API** and copy your key. Paste it below.

Focus Mode restricts a bot's knowledge to specific documents for a given conversation, improving answer relevance.

How long does it take to learn new documents?

Usually seconds to minutes depending on document size. Use 'get_document_status' to check when sync is complete.

Cody AI MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: Cody AI
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Cody AI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="cody_ai_agent",
            tools=tools,
            system_message=(
                "You help users with Cody AI. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Cody AI MCP Server

Connect your AI to Cody AI, the business AI assistant that can be trained on your own knowledge base.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Cody AI tools. Connect 10 tools through 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

Bot Management — List active bots, check their configurations, and view which documents they're trained on.
Conversations — Start conversations with any bot and ask questions against your knowledge base.
Document Import — Import web pages and files into specific folders to expand a bot's knowledge.

The Cody AI MCP Server exposes 10 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 Cody AI to AutoGen via MCP

Follow these steps to integrate the Cody AI 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 10 tools from Cody AI automatically

Why Use AutoGen with the Cody AI MCP Server

AutoGen provides unique advantages when paired with Cody AI through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Cody AI tools to solve complex tasks

Role-based architecture lets you assign Cody AI 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 Cody AI tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Cody AI tool responses in an isolated environment

Cody AI + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Cody AI MCP Server delivers measurable value.

Collaborative analysis: one agent queries Cody AI while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Cody AI, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Cody AI data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Cody AI responses in a sandboxed execution environment

Cody AI MCP Tools for AutoGen (10)

These 10 tools become available when you connect Cody AI to AutoGen via MCP:

create_conversation

Create a new conversation session with a specific bot

get_bot_details

Retrieve detailed information about a specific bot

get_document_status

Check the syncing status of a document to see if the AI has finished learning it

import_webpage

Import content from a URL into a specific folder in your knowledge base

list_bots

Retrieve all bots configured in your Cody AI account

list_conversations

Retrieve a list of recent conversations

list_documents

Retrieve a list of documents in your knowledge base

list_folders

Retrieve a list of folders in your knowledge base

list_messages

Retrieve the message history for a specific conversation

send_message

Send a prompt to the AI in a specific conversation

Example Prompts for Cody AI in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Cody AI immediately.

"Show me all active bots in Cody AI."

"Ask bot 'bot-xxxx': 'How do I reset my password?'"

"Import my local 'compliance_guidelines.pdf' into the Legal Bot's knowledge base."

Troubleshooting Cody AI MCP Server with AutoGen

Common issues when connecting Cody AI to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Cody AI + AutoGen FAQ

Common questions about integrating Cody AI MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Cody AI tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.