# Coherence XRM

> Use this tool when you need to automate tasks and manage workflows across multiple platforms, such as drafting emails, creating reminders, and posting to social media. Coherence XRM solves problems related to workflow management, data synchronization, and task automation, providing a seamless interface for MCP-compatible clients. It accepts messages as input and outputs automated actions, making it ideal for use cases that require streamlined workflow management and integration with various tools and platforms.

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

## Description

MCP server that exposes Coherence XRM as tools for Claude, Cursor, Cline, and other MCP-compatible clients.

The headline: chat_with_agent — send a message to your Coherence agent (Nash) from your agent and it can draft emails, create reminders, update records, post to social, create landing pages, and more, all under your workspace's approval rules.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c8nmpev0s3)
- **Repository:** <https://github.com/getcoherence/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": "getcoherence-mcp-server"
    }
  }
}
```

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