# MCP Talk

> Use this tool when you need to enable real-time communication between isolated AI agents or project namespaces. MCP Talk solves coordination and messaging problems by providing a shared, file-based message queue for sending, checking, and broadcasting messages. It is ideal for use cases requiring cross-agent communication, such as distributed task management or multi-agent collaboration.

Canonical page: https://skillsregistry.net/skills/devinvenable-mcp-talk  
JSON: https://api.skillsregistry.net/v1/skills/devinvenable-mcp-talk

## Description

A lightweight messaging system that enables real-time communication between different AI agents through a shared, file-based message queue. It provides tools for sending, checking, and broadcasting messages to facilitate coordination across isolated project namespaces.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fzcz8hg3up)
- **Repository:** <https://github.com/devinvenable/mcp-talk>

## 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": "devinvenable-mcp-talk"
    }
  }
}
```

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