# Adjust

> Use this tool when you need to access marketing analytics data from Adjust campaigns through natural language queries, solving the problem of manual data retrieval and providing quick insights into campaign performance. It takes an Adjust API key as input and outputs reports, metrics, and performance data, allowing marketing teams to track install numbers and other key metrics seamlessly. Ideal for use cases where rapid campaign data access is crucial, such as monitoring campaign performance or analyzing install numbers.

Canonical page: https://skillsregistry.net/skills/bitscorp-adjust  
JSON: https://api.skillsregistry.net/v1/skills/bitscorp-adjust

## Description

The Adjust MCP server provides a bridge to the Adjust API, allowing AI assistants to query marketing analytics data from Adjust campaigns. Developed by Alexandr Korsak at Bitscorp, this TypeScript implementation enables users to access reports, metrics, and performance data through natural language queries. The server requires an Adjust API key for authentication and can be installed via Smithery or run locally. It's particularly useful for marketing teams who need quick access to campaign performance data, such as checking install numbers for specific campaigns without leaving their AI assistant interface.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bitscorp-adjust)
- **Repository:** <https://github.com/bitscorp-mcp/mcp-adjust>

## 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": "bitscorp-adjust"
    }
  }
}
```

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

---
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