# Cohere MCP Server

> Use this tool when you need to integrate advanced language understanding into AI assistants, solving problems like intent recognition and contextual conversation management. It provides access to language models, embeddings, and reranking capabilities via the Model Context Protocol, accepting input requests and returning relevant output responses. Ideal for use cases requiring enhanced natural language processing capabilities in conversational AI systems.

Canonical page: https://skillsregistry.net/skills/hrco-cohere-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/hrco-cohere-mcp-server

## Description

Enables AI assistants to use Cohere's language models, embeddings, and reranking capabilities via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x1yi5ad8d3)
- **Repository:** <https://github.com/hrco/cohere-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hrco-cohere-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hrco-cohere-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hrco-cohere-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt