Coassemble 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 Coassemble 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="Coassemble Assistant",
instructions=(
"You help users interact with Coassemble. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Coassemble"
)
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 Coassemble MCP Server
Connect your Coassemble account to any AI agent and take full control of your online training and LMS through natural conversation. Streamline how you manage learners, courses, and completion results natively.
The OpenAI Agents SDK auto-discovers all 8 tools from Coassemble through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Coassemble, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Course Oversight — List and retrieve details for all training courses in your workspace natively
- Enrolment Intelligence — Access and monitor student enrolments and their current progress flawlessly
- Member Management — List all workspace members and their contact details securely
- Group Logistics — Monitor student groups and manage their course associations flawlessly
- Completion Auditing — Retrieve training results and grades for all enrolments to track success flawlessly
- Profile Visibility — Access your own user profile and core workspace metadata directly within your workspace
The Coassemble 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 Coassemble to OpenAI Agents SDK via MCP
Follow these steps to integrate the Coassemble 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 Coassemble
Why Use OpenAI Agents SDK with the Coassemble MCP Server
OpenAI Agents SDK provides unique advantages when paired with Coassemble 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
Coassemble + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Coassemble MCP Server delivers measurable value.
Automated workflows: build agents that query Coassemble, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Coassemble, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Coassemble tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Coassemble to resolve tickets, look up records, and update statuses without human intervention
Coassemble MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Coassemble to OpenAI Agents SDK via MCP:
enroll_member_in_course
Enroll a specific member into a course or group
get_course_training_details
Get detailed information for a specific course
get_member_group_associations
Get all groups a specific member belongs to
get_training_completion_results
List training results and grades for enrolments
list_coassemble_courses
List all training courses in the Coassemble workspace
list_coassemble_enrolments
List all course enrolments
list_coassemble_groups
List all student groups in the workspace
list_coassemble_members
List all members (users) in the workspace
Example Prompts for Coassemble in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Coassemble immediately.
"List all training courses in my Coassemble workspace."
"Show me the progress for user 'STU_12345'."
"What are the latest completion results?"
Troubleshooting Coassemble MCP Server with OpenAI Agents SDK
Common issues when connecting Coassemble to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Coassemble + OpenAI Agents SDK FAQ
Common questions about integrating Coassemble 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 Coassemble 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 Coassemble to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
