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Cohere MCP Server — Hosted for Any AI Agent

MCP Server language Hosted language Public

Generate text, embed documents for semantic search, rerank results, classify inputs, summarize content, and detect language using Cohere's enterprise AI platform.

@aerostack verified

• v0.1.0 • MIT • Updated Jun 28, 2026

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Use with AI AssistantsMCP

Connect Claude, Cursor, or any MCP-compatible client — then call tools directly

① Add This MCP Server

Paste into your AI client config — then all its tools are available instantly.

.claude/mcp.json

{
  "mcpServers": {
    "cohere": {
      "url": "https://mcp.aerostack.dev/s/aerostack/mcp-cohere",
      "headers": {
        "Authorization": "Bearer YOUR_AEROSTACK_TOKEN"
      }
    }
  }
}

Replace YOUR_AEROSTACK_TOKEN with your API token from the dashboard.

② Call a Tool

Ask your AI assistant to call a specific tool, or send raw JSON-RPC:

+5 more

Natural Language Prompt

“Use the _ping tool to verify cohere credentials by calling a lightweight read endpoint. used internally by aerostack to validate credentials”

Using a Workspace?

Add this MCP to your Workspace — your team shares one token, secrets are stored securely, and every AI agent in the workspace can call it without per-user setup.

add_circleAdd to Workspace

description Overview

mcp-cohere — Cohere MCP Server

Generate text, embed documents for semantic search, rerank results, classify inputs, summarize content, and detect language using Cohere's enterprise AI platform.

Live endpoint: https://mcp.aerostack.dev/s/aerostack/mcp-cohere

What You Can Do

This MCP server gives AI agents access to Cohere via 10 tools. Connect it to any Aerostack workspace and your agents can interact with Cohere directly.

Available Tools

Tool	Description
`chat`	Send a message to a Cohere model and get a response. Supports multi-turn conversation history and optional grounding with documents
`embed`	Generate embeddings for a list of texts using Cohere Embed. Useful for semantic search and similarity comparison
`rerank`	Rerank a list of documents by relevance to a query. Returns documents sorted by relevance score
`classify`	Classify texts into categories using few-shot examples. Provide example texts and their labels
`generate`	Generate text completions using Cohere Generate (single-turn, lower latency than chat)
`tokenize`	Tokenize text and return the token IDs and token strings for a given Cohere model
`detokenize`	Convert token IDs back to text using a Cohere model tokenizer
`detect_language`	Detect the language of one or more text inputs
`summarize`	Summarize a document or long text using Cohere Summarize with configurable length and format
`list_models`	List all available Cohere models with their capabilities, context lengths, and pricing

Configuration

Variable	Required	Description
`COHERE_API_KEY`	Yes	Your Cohere API key — found at dashboard.cohere.com/api-keys

Quick Start

Add to Aerostack Workspace

Go to aerostack.dev → Your Project → MCPs
Search for "Cohere" and click Add to Workspace

Add the following secrets under Project → Secrets:

COHERE_API_KEY

Once added, every AI agent in your workspace can use Cohere tools automatically.

Direct API Call

curl -X POST https://mcp.aerostack.dev/s/aerostack/mcp-cohere \
  -H 'Content-Type: application/json' \
  -H 'X-Mcp-Secret-COHERE-API-KEY: your-cohere-api-key' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"chat","arguments":{}}}'

License

MIT

terminal Tools (11)

Available tools on this MCP server. Each tool can be called directly from any AI agent.

terminal

_ping #1

Verify Cohere credentials by calling a lightweight read endpoint. Used internally by Aerostack to validate credentials.

terminal

chat #2

Send a message to a Cohere model and get a response. Supports multi-turn conversation history and optional grounding with documents

terminal

embed #3

Generate embeddings for a list of texts using Cohere Embed. Useful for semantic search and similarity comparison

terminal

rerank #4

Rerank a list of documents by relevance to a query. Returns documents sorted by relevance score

terminal

classify #5

Classify texts into categories using few-shot examples. Provide example texts and their labels

terminal

generate #6

Generate text completions using Cohere Generate (single-turn, lower latency than chat)

terminal

tokenize #7

Tokenize text and return the token IDs and token strings for a given Cohere model

terminal

detokenize #8

Convert token IDs back to text using a Cohere model tokenizer

terminal

detect_language #9

Detect the language of one or more text inputs

terminal

summarize #10

Summarize a document or long text using Cohere Summarize with configurable length and format

terminal

list_models #11

List all available Cohere models with their capabilities, context lengths, and pricing

Details

upgrade Version 0.1.0

gavel License MIT

wifi Transport streamable-http

lock Access Public

category Category API Connectors

terminal Tools 11

language Live Endpoint

https://mcp.aerostack.dev/s/aerostack/mcp-cohere

Sub-50ms globally · Zero cold start

Publisher

@aerostack verified

Pre-built functions for the most common MCP tool patterns. Clone, extend, and deploy.

Frequently asked questions

What is the Cohere MCP server and what can it do? +

The Cohere MCP server is hosted on Aerostack and exposes these tools to your AI agent: `_ping`, `chat`, `embed`, `rerank`, `classify`. You get one hosted URL — no self-hosting — that works from Claude, Cursor, ChatGPT, Gemini, VS Code, or any MCP-compatible client, and you can share it with your team or combine it with other MCP servers in a workspace.

Is the Cohere MCP server hosted, or do I have to run it myself? +

It's hosted on Aerostack's edge infrastructure — you don't deploy or maintain anything. Add it to a workspace and you get one authenticated URL, with secrets encrypted, that any AI agent or editor can connect to. Use it solo or share the same URL across your whole team.

Which AI agents and editors can use the Cohere MCP server? +

Any MCP client: Claude and Claude Code, Cursor, ChatGPT, Gemini, Windsurf, Cline, VS Code, and custom agents. Because it's one hosted URL, the same Cohere MCP server works everywhere — and you can compose it with other MCP servers, skills, and functions behind a single workspace URL.

How do I install the Cohere MCP server in Claude Desktop? +

Add the following to your Claude Desktop config (`claude_desktop_config.json`): ```json { "mcpServers": { "@aerostack/mcp-cohere": { "command": "npx", "args": ["-y", "@aerostack/@aerostack/mcp-cohere"] } } } ``` Then restart Claude Desktop and the tools will appear automatically.

How do I use the Cohere MCP server in Cursor? +

In Cursor, open **Settings → MCP** and add: ```json { "name": "@aerostack/mcp-cohere", "command": "npx", "args": ["-y", "@aerostack/@aerostack/mcp-cohere"] } ``` Save and reload Cursor. The MCP tools will be available in Agent mode.

Does Cohere MCP require authentication? +

Yes. Cohere requires authentication. Check the MCP's documentation for the required credentials.

Cohere MCP Server — Hosted for Any AI Agent

description Overview

mcp-cohere — Cohere MCP Server

What You Can Do

Available Tools

Configuration

Quick Start

Add to Aerostack Workspace

Direct API Call

License

terminal Tools (11)

Details

Publisher

Tags

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