Cohere (AI Platform) MCP Server for OpenAI Agents SDK 7 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cohere (AI Platform) through the 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="Cohere (AI Platform) Assistant",
instructions=(
"You help users interact with Cohere (AI Platform). "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Cohere (AI Platform)"
)
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 Cohere (AI Platform) MCP Server
Connect your Cohere platform account to any AI agent and take full control of your generative AI and language processing workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 7 tools from Cohere (AI Platform) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Cohere (AI Platform), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Chat & Text Generation — Execute formatted conversational transformations and fetch sequential token strings using state-of-the-art LLMs like Command
- Semantic Reranking — Structure contextual chunks by priority ordering documents against specific queries to improve RAG accuracy
- Text Embeddings — Generate precise dense vector shapes for plain strings to power high-dimensional semantic search and similarity matching
- Input Classification — Categorize text into predefined labels using few-shot training blocks and audit confidence scores
- Structural Tokenization — Retrieve exact integer segments matching active token dictionaries bound by specific Cohere encoding models
- Model Discovery — Enumerate available hashes and model identifiers to verify API capability branches on your plan
The Cohere (AI Platform) MCP Server exposes 7 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 Cohere (AI Platform) to OpenAI Agents SDK via MCP
Follow these steps to integrate the Cohere (AI Platform) 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 7 tools from Cohere (AI Platform)
Why Use OpenAI Agents SDK with the Cohere (AI Platform) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Cohere (AI Platform) 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
Cohere (AI Platform) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Cohere (AI Platform) MCP Server delivers measurable value.
Automated workflows: build agents that query Cohere (AI Platform), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Cohere (AI Platform), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Cohere (AI Platform) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Cohere (AI Platform) to resolve tickets, look up records, and update statuses without human intervention
Cohere (AI Platform) MCP Tools for OpenAI Agents SDK (7)
These 7 tools become available when you connect Cohere (AI Platform) to OpenAI Agents SDK via MCP:
chat_generation
Execute explicitly formatted conversational transformations
classify_inputs
Enumerate explicitly mapped string classes evaluating static limits
generate_embeddings
Identify precise dense vector shapes mapping semantic limits
generate_text
Execute static generation targeting foundational limits
list_models
Inspect internal properties detailing API availability
rerank_documents
Discover explicit routing arrays structuring specific contextual chunks
tokenize_text
Retrieve the exact structural segmentation limiting NLP contexts
Example Prompts for Cohere (AI Platform) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cohere (AI Platform) immediately.
"Generate a summary of this article: [article text]"
"Generate embeddings for these 3 product descriptions"
"Rerank these search results for 'AI implementation guide': [result_1, result_2, result_3]"
Troubleshooting Cohere (AI Platform) MCP Server with OpenAI Agents SDK
Common issues when connecting Cohere (AI Platform) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Cohere (AI Platform) + OpenAI Agents SDK FAQ
Common questions about integrating Cohere (AI Platform) 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 Cohere (AI Platform) 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 Cohere (AI Platform) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.