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

Q: How do I configure the Cohere (AI Platform) MCP Server inside my Cursor editor?

Create a .cursor/mcp.json file in your project root or your global directory. Add the server configuration under the mcpServers key, toggle Agent mode in your chat, and Cursor will detect the tools.

Q: Can Cursor run the Cohere (AI Platform) reranking tool during active coding?

Yes, Cursor can call rerankdocuments to reorder code snippets or documentation chunks. This ensures the agent only feeds the most relevant context into your active code generation window.

Q: How does the MCP Server tokenization tool help when writing code?

The tokenizetext tool lets Cursor measure the exact NLP token count of your code files. This prevents your active agent from hitting API payload limits during complex refactoring tasks.

Feed Cohere's embeddings and reranked documents directly into Cursor to write code with real-time semantic data.

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Connect Cohere (AI Platform) MCP to Cursor

Create your Vinkius account to connect Cohere (AI Platform) to Cursor 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Inject Cohere vector data directly into Cursor

Stop writing code with dummy data or fake endpoints. When you run this MCP Server inside Cursor, your editor calls `generate_embeddings` to create dense vector shapes of your codebase or documentation on the fly. Cursor's agent uses these real vectors to find semantic relationships in your files. Instead of guessing how to structure your search logic, you write actual code against real Cohere vector outputs.

Optimize code generation with foundational models

This MCP Server lets you draft complex functions or documentation. Cursor calls `generate_text` and `chat_generation` to write code that fits your exact specifications. Your editor handles the prompt formatting and gets back clean, raw text. If you aren't sure which model fits your performance budget, the agent runs `list_models` to check what's available. You get the exact model you need without leaving your active file.

Classify and tokenize your code files

Large codebases easily break context windows. Cursor uses `tokenize_text` to analyze the exact structural segmentation of your files, letting you know exactly how much space your code takes up before sending it. For automated code tagging or log analysis, the editor runs `classify_inputs` to map strings to static classes. This lets you build smart routing features directly into your local workspace.

Setup guide

Set up Cohere (AI Platform) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Cohere (AI Platform) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Cohere (AI Platform) transactions." If the MCP tools are loaded correctly, Cursor will call the Cohere (AI Platform) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "cohere-ai-platform-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 Cursor

Create a `.cursor/mcp.json` file in your project root or your global directory. Add the server configuration under the `mcpServers` key, toggle Agent mode in your chat, and Cursor will detect the tools.

Yes, Cursor can call `rerank_documents` to reorder code snippets or documentation chunks. This ensures the agent only feeds the most relevant context into your active code generation window.

No, Vinkius manages the authentication for you. Once you connect the MCP Server endpoint to Cursor, your editor can run all text and embedding tools using a single secure token.

The `tokenize_text` tool lets Cursor measure the exact NLP token count of your code files. This prevents your active agent from hitting API payload limits during complex refactoring tasks.

Your code snippets, text inputs, and classification labels are sent directly to the Cohere API over HTTPS. Vinkius runs the server in an isolated, zero-trust sandbox to ensure your workspace data remains private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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