MonkeyLearn MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Classify Text, Extract Text Entities, Get Api Status, and more
GDPR Free for SubscribersThe OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MonkeyLearn 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 for OpenAI Agents SDK
The MonkeyLearn MCP Server for OpenAI Agents SDK is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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="MonkeyLearn Assistant",
instructions=(
"You help users interact with MonkeyLearn. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MonkeyLearn"
)
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 MonkeyLearn MCP Server
Connect your MonkeyLearn account to any AI agent and run NLP text analysis through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from MonkeyLearn through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MonkeyLearn, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Text Classification — Classify text by sentiment, topic, intent, or custom labels
- Entity Extraction — Pull structured data like names, keywords, and addresses from text
- NLP Workflows — Run multi-step Studio workflows for complex pipelines
- Model Management — List classifiers, extractors, model versions, and tags
- Account Status — Verify API connectivity
The MonkeyLearn MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 MonkeyLearn tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to MonkeyLearn through Vinkius, your AI agent gets direct access to every tool listed below — spanning text-classification, entity-extraction, sentiment-analysis, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Classify text on MonkeyLearn
Classify text data
Extract text entities on MonkeyLearn
Extract entities
Get api status on MonkeyLearn
Get account status
Get classifier details on MonkeyLearn
Get classifier info
Get extractor details on MonkeyLearn
Get extractor info
List classifier tags on MonkeyLearn
List model tags
List classifiers on MonkeyLearn
List text classifiers
List extractor tags on MonkeyLearn
List extractor tags
List extractors on MonkeyLearn
List text extractors
List model versions on MonkeyLearn
List model versions
List nlp workflows on MonkeyLearn
List account workflows
Run workflow on MonkeyLearn
Run NLP workflow
Connect MonkeyLearn to OpenAI Agents SDK via MCP
Follow these steps to wire MonkeyLearn into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the MonkeyLearn MCP Server
OpenAI Agents SDK provides unique advantages when paired with MonkeyLearn 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
MonkeyLearn + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MonkeyLearn MCP Server delivers measurable value.
Automated workflows: build agents that query MonkeyLearn, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MonkeyLearn, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MonkeyLearn tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MonkeyLearn to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for MonkeyLearn in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MonkeyLearn immediately.
"Classify this customer review: 'The product is amazing but delivery was slow.'"
"Extract entities from: 'John Smith from Apple Inc. visited our NYC office on March 15.'"
"List all my classifiers and extractors."
Troubleshooting MonkeyLearn MCP Server with OpenAI Agents SDK
Common issues when connecting MonkeyLearn to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MonkeyLearn + OpenAI Agents SDK FAQ
Common questions about integrating MonkeyLearn 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?
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