Clustdoc MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Clustdoc 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="Clustdoc Assistant",
instructions=(
"You help users interact with Clustdoc. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Clustdoc"
)
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 Clustdoc MCP Server
Connect your Clustdoc account to any AI agent and take full control of your client onboarding and document collection through natural conversation. Streamline how you manage complex applications and workflows natively.
The OpenAI Agents SDK auto-discovers all 8 tools from Clustdoc through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Clustdoc, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Template Oversight — List and retrieve details for all onboarding workflow templates configured in your account natively
- Dossier Intelligence — Access and monitor individual client applications (dossiers) and their current progress flawlessly
- Application Lifecycle — Launch new onboarding sessions for clients using pre-defined templates securely
- Invitation Logistics — Trigger automated portal invitation emails to clients directly from your chat interface flawlessly
- Team Management — List all teams and members within your Clustdoc account to manage access flawlessly
- integrated Visibility — Retrieve detailed application metadata including status and contact information directly within your workspace
The Clustdoc MCP Server exposes 8 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 Clustdoc to OpenAI Agents SDK via MCP
Follow these steps to integrate the Clustdoc 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 8 tools from Clustdoc
Why Use OpenAI Agents SDK with the Clustdoc MCP Server
OpenAI Agents SDK provides unique advantages when paired with Clustdoc 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
Clustdoc + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Clustdoc MCP Server delivers measurable value.
Automated workflows: build agents that query Clustdoc, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Clustdoc, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Clustdoc tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Clustdoc to resolve tickets, look up records, and update statuses without human intervention
Clustdoc MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Clustdoc to OpenAI Agents SDK via MCP:
get_application_status_details
Get detailed status and progress for a specific client dossier
get_my_clustdoc_profile
Retrieve information about the authenticated user
get_workflow_configuration
Get detailed configuration for a specific onboarding template
launch_new_onboarding
Launch a new onboarding application for a client
list_client_dossiers
List all active and completed client applications (dossiers)
list_clustdoc_teams
List all teams and members in the Clustdoc account
list_onboarding_templates
List all onboarding workflow templates
send_onboarding_invitation
Send the portal invitation email to the client for a specific dossier
Example Prompts for Clustdoc in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Clustdoc immediately.
"List all active client dossiers in Clustdoc."
"Launch a new 'Standard Business Onboarding' for john@example.com."
"What is the status of the dossier for 'TechFlow Inc'?"
Troubleshooting Clustdoc MCP Server with OpenAI Agents SDK
Common issues when connecting Clustdoc to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Clustdoc + OpenAI Agents SDK FAQ
Common questions about integrating Clustdoc 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 Clustdoc 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 Clustdoc to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.