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Chaindesk MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Create Agent, Delete Agent, Get Agent, and more

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Chaindesk through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Chaindesk app connector for OpenAI Agents SDK is a standout in the Knowledge Management category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Chaindesk Assistant",
            instructions=(
                "You help users interact with Chaindesk. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Chaindesk"
        )
        print(result.final_output)

asyncio.run(main())
Chaindesk
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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 Chaindesk MCP Server

Connect your Chaindesk.ai account to any AI agent and take full control of your custom LLM orchestration and automated knowledge retrieval workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from Chaindesk through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Chaindesk, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Agent Orchestration — Create and manage multiple high-fidelity AI agent instances programmatically, including configuring system prompts and model selection
  • Knowledge Graph Ingestion — Programmatically upsert data sources (website URLs, text, documents) into connected datastores to maintain a real-time knowledge base
  • Deep Semantic Querying — Interact with your custom agents to retrieve context-aware AI responses based on your proprietary data and high-fidelity grounding
  • Conversation Intelligence — Access complete session histories and message threads to provide perfectly coordinated context for support and research tasks
  • Datastore Monitoring — Access and monitor your directory of knowledge collections (datastores) and their status directly through your agent for instant reporting

The Chaindesk MCP Server exposes 11 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.

All 11 Chaindesk tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Chaindesk through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-training, custom-chatbots, knowledge-retrieval, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_agent

Provide name, datastoreId, and system prompt. Create a new AI agent

delete_agent

Delete an agent

get_agent

Get details of a specific agent

get_datastore

Get details of a datastore

get_messages

Get messages from a conversation

list_agents

List all AI agents

list_conversations

Can be filtered by agentId. List chat conversations

list_datastores

List all datastores

query_agent

Send a message to an agent

update_agent

Update an existing agent

upsert_datasource

Add or update a data source

Connect Chaindesk to OpenAI Agents SDK via MCP

Follow these steps to wire Chaindesk into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from Chaindesk

Why Use OpenAI Agents SDK with the Chaindesk MCP Server

OpenAI Agents SDK provides unique advantages when paired with Chaindesk through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Chaindesk + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Chaindesk MCP Server delivers measurable value.

01

Automated workflows: build agents that query Chaindesk, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Chaindesk, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Chaindesk tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Chaindesk to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Chaindesk in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Chaindesk immediately.

01

"List all my available AI agents in Chaindesk."

02

"Ask my 'Support Bot' (ID: 'agent_1'): 'How do I reset my password?'."

03

"Add 'https://vinkius.com/faq' to datastore 'ds_123'."

Troubleshooting Chaindesk MCP Server with OpenAI Agents SDK

Common issues when connecting Chaindesk to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Chaindesk + OpenAI Agents SDK FAQ

Common questions about integrating Chaindesk MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.