Cody AI MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cody AI through 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="Cody AI Assistant",
instructions=(
"You help users interact with Cody AI. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cody AI"
)
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 Cody AI MCP Server
Connect your AI to Cody AI, the business AI assistant that can be trained on your own knowledge base.
The OpenAI Agents SDK auto-discovers all 10 tools from Cody AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cody AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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 Cody AI to OpenAI Agents SDK via MCP
Follow these steps to integrate the Cody AI 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 10 tools from Cody AI
Why Use OpenAI Agents SDK with the Cody AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cody AI 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
Cody AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cody AI MCP Server delivers measurable value.
Automated workflows: build agents that query Cody AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Cody AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cody AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cody AI to resolve tickets, look up records, and update statuses without human intervention
Cody AI MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Cody AI to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Cody AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cody AI + OpenAI Agents SDK FAQ
Common questions about integrating Cody AI 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 Cody AI 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 Cody AI to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.