# Kochava for Advertisers — Official MCP Server

> Use this tool when you need to analyze mobile attribution data without requiring an account, connecting and signing up directly to query data from any AI tool, solving problems of data accessibility and integration for advertisers. It takes in mobile user data as input and outputs attribution insights, enabling informed advertising decisions. Ideal for use cases where mobile campaign optimization and ROI measurement are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-kochava-kochava-for-advertisers-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kochava-kochava-for-advertisers-mcp-server

## Description

No account needed — connect, sign up, and query mobile attribution data from any AI tool

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.44
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Kochava%2Fkochava-for-advertisers-mcp-server)
- **Repository:** <https://github.com/Kochava/kochava-k4a-mcp-server>

## Use it

MCP endpoint published by the skill: `https://analytics.mcp.kochava.com/mcp`

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": "io-github-kochava-kochava-for-advertisers-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kochava-kochava-for-advertisers-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kochava-kochava-for-advertisers-mcp-server/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
