# agent-talk

> agent-talk — com-basenull-agent-talk. Use this tool when you need to establish communication between two AI workspaces, enabling the exchange of messages and retrieval of conversation history. It solves problems of inter-workspace information sharing and coordination by providing a reliable messaging channel. With input capabilities for sending messages and output features for receiving replies and reading history, agent-talk facilitates seamless interaction between AI agents in various contexts.

Canonical page: https://skillsregistry.net/skills/com-basenull-agent-talk  
JSON: https://api.skillsregistry.net/v1/skills/com-basenull-agent-talk

## Description

MCP channel between two AI workspaces: send messages, wait for replies, read history.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-07-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.basenull%2Fagent-talk)

## Use it

MCP endpoint published by the skill: `https://agent-talk.basenull.com/mcp/{channel_key}`

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": "com-basenull-agent-talk"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-basenull-agent-talk` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-basenull-agent-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