TrueFoundry 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 TrueFoundry 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="TrueFoundry Assistant",
instructions=(
"You help users interact with TrueFoundry. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TrueFoundry"
)
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 TrueFoundry MCP Server
What you can do
Connect AI agents to TrueFoundry's dual-architecture matrix encompassing both an AI Gateway and a Deployment Orchestrator:
The OpenAI Agents SDK auto-discovers all 8 tools from TrueFoundry through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries TrueFoundry, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- Route LLM prompts securely utilizing a unified endpoint connecting to OpenAI, Anthropic, Gemini, Llama, and more
- Manage LLM Embeddings mapping strings flawlessly through secure unified channels
- Discover Gateway Models identifying exact runtime limitations and contexts
- Orchestrate MCP Containers deploying new AI server topology straight onto infrastructure limits
- Monitor Active Deployments generating status, usage array metrics, and isolation limits natively
- List MCP Schemas utilizing the managed TrueFoundry MCP discovery engine array
- Execute Chat streams dynamically routing user contexts purely bound without touching distinct API keys
The TrueFoundry 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 TrueFoundry to OpenAI Agents SDK via MCP
Follow these steps to integrate the TrueFoundry 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 TrueFoundry
Why Use OpenAI Agents SDK with the TrueFoundry MCP Server
OpenAI Agents SDK provides unique advantages when paired with TrueFoundry 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
TrueFoundry + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TrueFoundry MCP Server delivers measurable value.
Automated workflows: build agents that query TrueFoundry, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries TrueFoundry, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TrueFoundry tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TrueFoundry to resolve tickets, look up records, and update statuses without human intervention
TrueFoundry MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect TrueFoundry to OpenAI Agents SDK via MCP:
truefoundry_deploy_mcp_server
Spawn a new backend container logical process using TrueFoundry service mesh
truefoundry_generate_embeddings
Calculate semantic vectors securely using the unifed abstraction
truefoundry_get_deployment_status
Emit detailed metric states on the orchestration matrix bounds
truefoundry_get_mcp_server_info
Extract exact JSON metadata of one registered TrueFoundry tool schema
truefoundry_list_deployments
Monitor the existing array of running backend topologies mapped to the team
truefoundry_list_gateway_models
List all accessible foundation models from the TrueFoundry unified AI gateway
truefoundry_list_mcp_servers
Extract registry mapping of all available logical MCP Tools in TrueFoundry
truefoundry_run_gateway_chat
g., openai/gpt-4o) mapping the true chat parameter to the gateway. Perform inference explicitly pushing a model query string through TrueFoundry
Example Prompts for TrueFoundry in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with TrueFoundry immediately.
"List all active AI models supported natively inside my TrueFoundry gateway access instance."
"Trigger a chat payload pushing to 'openai-gpt4o' via TrueFoundry querying semantic structures bounding limits."
"Deploy the 'supabase-mcp' node-image natively mapping strict variables onto my cluster runtime boundaries."
Troubleshooting TrueFoundry MCP Server with OpenAI Agents SDK
Common issues when connecting TrueFoundry to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TrueFoundry + OpenAI Agents SDK FAQ
Common questions about integrating TrueFoundry 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 TrueFoundry 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 TrueFoundry to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.