# MCP AgentChat

> Use this tool when you need to facilitate interactive conversations between AI agents and users through Telegram, enabling the exchange of messages, images, and quick replies. It solves problems related to user engagement, support, and feedback collection by providing a seamless communication channel. The MCP AgentChat tool accepts user inputs and AI agent responses, generating outputs in the form of messages, images, and replies.

Canonical page: https://skillsregistry.net/skills/lynricsy-agentchatmcp  
JSON: https://api.skillsregistry.net/v1/skills/lynricsy-agentchatmcp

## Description

An MCP server enabling AI agents to interact with users via Telegram, supporting message and image sending, inline quick replies, and waiting for user responses.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bg5zsfec4e)
- **Repository:** <https://github.com/Lynricsy/AgentChatMCP>

## 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": "lynricsy-agentchatmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lynricsy-agentchatmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lynricsy-agentchatmcp/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