How to Use the Cohere (AI Platform) MCP in Mastra AI

Q: Can Mastra AI handle automatic retries for Cohere (AI Platform) embedding generation?

Yes. When using generateembeddings, Mastra AI automatically applies exponential backoff if the Cohere API limits are hit, making your vector generation steps highly resilient.

Build resilient Mastra AI workflows that use Cohere to classify inputs and rerank documents with automatic retries.

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Connect Cohere (AI Platform) MCP to Mastra AI

Create your Vinkius account to connect Cohere (AI Platform) to Mastra AI 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 (AI Platform) with Mastra AI

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Resilient document routing in multi-step workflows

The `rerank_documents` tool integrates with your Mastra AI workflows to handle multi-step search and retrieval tasks with built-in retry logic. If a search query fails to return relevant chunks, the workflow engine automatically retries the call before routing the data to your agent. By using this MCP Server, your agent can dynamically evaluate search results and branch the workflow depending on the relevance scores. This ensures your autonomous pipelines don't stall when external APIs experience transient errors.

Automated input classification and branching

The `classify_inputs` tool lets Mastra AI agents categorize incoming text data and execute conditional branching based on the results. For example, if an input is classified as urgent, the workflow immediately triggers an escalation path. You can pair this with the `tokenize_text` tool to measure exact structural segmentation before routing. This prevents your agents from passing oversized payloads to subsequent workflow steps.

Human-in-the-loop validation for Cohere in Mastra AI

This MCP Server allows you to require human approval in Mastra AI before executing the `generate_text` tool. When the agent attempts a generation, the workflow pauses and waits for a manual sign-off before committing the text. If the generation is approved, the `chat_generation` tool can then format the output for conversational use. You can list all available endpoints using `list_models` to ensure the agent always targets the correct model version.

Setup guide

Set up Cohere (AI Platform) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Cohere (AI Platform) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cohere-ai-platform-mcp-client",
  servers: {
    "cohere-ai-platform-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Cohere (AI Platform) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Cohere (AI Platform) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Cohere (AI Platform) transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cohere. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Cohere (AI Platform) MCP in Mastra AI

Instantiate the MCPClient with the Vinkius URL and call listTools to expose the Cohere tools. You then spread these tools directly into your Mastra AI agent configuration.

Yes. When using `generate_embeddings`, Mastra AI automatically applies exponential backoff if the Cohere API limits are hit, making your vector generation steps highly resilient.

Set the requireToolApproval flag on your Mastra AI agent for the `classify_inputs` tool. This pauses your pipeline until a human reviews the classification labels.

Yes, the client auto-detects either Streamable HTTP or SSE transports. You do not need to manually configure network protocols when initializing the server.

All vector shapes and classification strings pass through ephemeral V8 sandboxes. Your raw data is never cached or stored on Vinkius, maintaining direct secure transport to Cohere.

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