# Avo MCP

> Avo MCP — avohq-avo-mcp. Use this tool when you need to manage Avo tracking plans efficiently, as it enables reading and editing through natural language, solving problems of plan design and modification. It takes natural language inputs and outputs updated tracking plans, streamlining the planning process. Ideal for use cases where quick and intuitive plan management is required, such as data tracking and analytics workflows.

Canonical page: https://skillsregistry.net/skills/avohq-avo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/avohq-avo-mcp

## Description

Enables reading and editing Avo tracking plans through natural language, with skills for designing new plans and working with existing ones.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q3q44rywkk)
- **Repository:** <https://github.com/avohq/avo-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": "avohq-avo-mcp"
    }
  }
}
```

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