# Divvi MCP Server

> Use this tool when you need to integrate referral tracking into blockchain applications, to solve problems such as manual tracking and implementation errors. The Divvi MCP Server guides AI assistants through SDK installation, transaction modification, and referral submission, accepting JavaScript/TypeScript applications as input and producing properly integrated referral tracking as output. It is ideal for use cases where automated and standardized referral tracking is required, streamlining the implementation process and ensuring compliance with official best practices.

Canonical page: https://skillsregistry.net/skills/divvi-xyz-divvi-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/divvi-xyz-divvi-mcp-server

## Description

Enables AI assistants to automatically integrate Divvi referral tracking into JavaScript/TypeScript blockchain applications by guiding them through SDK installation, transaction modification, and implementation of referral submission following official best practices.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gjjiqs8qm0)
- **Repository:** <https://github.com/divvi-xyz/divvi-mcp-server>

## 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": "divvi-xyz-divvi-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/divvi-xyz-divvi-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/divvi-xyz-divvi-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