# Fingerprint MCP Server

> Fingerprint MCP Server — fingerprintjs-fingerprint-mcp-server. Use this tool when you need to integrate Fingerprint's identification events and management APIs with MCP-compatible clients, enabling secure and flexible interaction in both private and public modes. It solves problems related to client-server communication, API management, and event handling, supporting various transport protocols and tool filtering. Ideal for use cases requiring robust and customizable API integration, such as identity verification and access control systems.

Canonical page: https://skillsregistry.net/skills/fingerprintjs-fingerprint-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/fingerprintjs-fingerprint-mcp-server

## Description

Enables MCP-compatible clients to interact with Fingerprint's identification events and management APIs, supporting both private and public modes with tool filtering and multiple transport protocols.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **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/zc7kgmexwo)
- **Repository:** <https://github.com/fingerprintjs/fingerprint-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": "fingerprintjs-fingerprint-mcp-server"
    }
  }
}
```

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