How to Use the Cohere (Embed & Rerank) MCP in OpenAI Agents SDK

Plug Cohere (Embed & Rerank) into your OpenAI Agents SDK to get precise vector shapes and reranked context for your production agents.

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Connect Cohere (Embed & Rerank) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cohere (Embed & Rerank) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cohere (Embed & Rerank) with OpenAI Agents SDK

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Inject Cohere embeddings into OpenAI Agents SDK

Your agent calls `embed_texts` to map strings into dense vector arrays. This gives your system a numerical understanding of semantic meaning before it touches your database. Python agents handle these vectors as native types. You get exact coordinate matching for your RAG pipelines without manually formatting input data.

Refine context with reranking for OpenAI Agents SDK

Use `rerank_documents` to sort your search results by relevance. The tool takes a query and a list of chunks, returning a scored array that forces your agent to prioritize the right facts. This stops your agent from hallucinating based on low-quality matches. It forces the model to look at the most relevant snippet first.

Manage model state via OpenAI Agents SDK

Call `list_models` to see exactly what is available on the API at any given moment. You can inspect the properties directly from your agent code to decide which model to target for a specific task. `tokenize_text` then lets you check the segmentation limits. You avoid hitting context windows by verifying the token count before sending large payloads to your model.

Setup guide

Set up Cohere (Embed & Rerank) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Cohere (Embed & Rerank) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Cohere (Embed & Rerank) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Cohere (Embed & Rerank) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Cohere (Embed & Rerank) Agent",
            instructions="You have access to Cohere (Embed & Rerank) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Cohere (Embed & Rerank) MCP in OpenAI Agents SDK

Yes, it connects directly via the HTTP transport. Your agents treat the server as a native toolset, meaning you skip the boilerplate and start querying immediately.

Absolutely. Since the SDK validates every output, you can wrap these tool calls in your existing safety schemas to ensure no bad data enters your trace logs.

The SDK dashboard captures every tool execution automatically. You will see the specific input and output for every call to the embedding or reranking endpoints.

The server is lightweight and ephemeral. Because you are calling it as a local MCP service, you avoid the overhead of complex middleware.

We enforce strict transit security. Your raw text strings are processed in memory and never persisted in our infrastructure, ensuring that your private data stays within your control.

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