# Echo MCP

> Use this tool when you need to reliably consume and validate AI agent outputs, enabling seamless integration with other systems through structured messages. It solves problems of inconsistent or unverified output data by echoing validated payloads against predefined schemas. The Echo MCP server takes in AI agent outputs and returns validated messages, making it ideal for use cases requiring trusted and programmatically consumable data exchanges.

Canonical page: https://skillsregistry.net/skills/zenlixai-echo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zenlixai-echo-mcp

## Description

A lightweight server that enables AI agents to emit and validate structured messages through MCP tool call returns. It facilitates reliable programmatic consumption of agent outputs by echoing validated payloads against predefined schemas.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qvxg566hmk)
- **Repository:** <https://github.com/ZenlixAI/echo-mcp>

## 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": "zenlixai-echo-mcp"
    }
  }
}
```

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