Metatext 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 Metatext 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="Metatext Assistant",
instructions=(
"You help users interact with Metatext. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Metatext"
)
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 Metatext MCP Server
Connect your Metatext account to any AI agent and take full control of your NLP models and data pipelines through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Metatext through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Metatext, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Model Orchestration — List all trained NLP models and fetch detailed metadata and training statuses
- Real-time Inference — Programmatically run predictions, classifications, and extractions using your deployed models
- Dataset Management — Enumerate datasets and create new records for model training or evaluation
- Deployment Monitoring — List active model deployments and retrieve account usage information
- Search & Discovery — Search for specific NLP models by name to quickly access their capabilities
The Metatext 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 Metatext to OpenAI Agents SDK via MCP
Follow these steps to integrate the Metatext 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 Metatext
Why Use OpenAI Agents SDK with the Metatext MCP Server
OpenAI Agents SDK provides unique advantages when paired with Metatext 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
Metatext + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Metatext MCP Server delivers measurable value.
Automated workflows: build agents that query Metatext, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Metatext, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Metatext tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Metatext to resolve tickets, look up records, and update statuses without human intervention
Metatext MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Metatext to OpenAI Agents SDK via MCP:
create_dataset_record
Create a new record in a dataset
get_account_info
Get account information
get_dataset_details
Get details for a specific dataset
get_model_details
Get details for a specific model
list_dataset_records
List records in a dataset
list_model_deployments
List active model deployments
list_nlp_datasets
List all datasets
list_nlp_models
List all trained NLP models
run_model_inference
Run prediction on a model
search_nlp_models
Search models by name
Example Prompts for Metatext in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Metatext immediately.
"List all my trained NLP models in Metatext."
"Analyze this text with model ID 'mod_123': 'I love this product!'"
"Add a new record to dataset 'ds_987' with text 'Refund requested' and label 'Support'."
Troubleshooting Metatext MCP Server with OpenAI Agents SDK
Common issues when connecting Metatext to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Metatext + OpenAI Agents SDK FAQ
Common questions about integrating Metatext 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 Metatext 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 Metatext to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.