# claude-intercom

> claude-intercom — muhammadtalhamt-claude-intercom. Use this tool when you need to enable communication between separate Claude Code sessions, allowing them to exchange messages and track their status. It solves problems of inter-session communication and collaboration, facilitating the exchange of information about checkouts and other data. The tool accepts message inputs and outputs tracked message statuses, making it ideal for use cases requiring coordinated workflows across multiple machines.

Canonical page: https://skillsregistry.net/skills/muhammadtalhamt-claude-intercom  
JSON: https://api.skillsregistry.net/v1/skills/muhammadtalhamt-claude-intercom

## Description

Relays messages between two Claude Code sessions running on separate machines, using the Channels API to push an incoming message directly into the other session so one session can ask another about its own checkout. Each message carries an id and is tracked as sent, delivered-to-process, or answered, with a per-message reply budget.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m75dpn5r9l)
- **Repository:** <https://github.com/MuhammadTalhaMT/claude-intercom>

## 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": "muhammadtalhamt-claude-intercom"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muhammadtalhamt-claude-intercom` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muhammadtalhamt-claude-intercom/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