ICE Locator MCP Server

ICE Locator MCP Server

Enables searching for ICE detainee locations using AI-powered natural language queries, with support for bulk operations, multilingual searches, and legal report generation for families and legal representatives.

Category
访问服务器

README

ICE Locator MCP Server

MCP Badge

A Model Context Protocol (MCP) server for searching ICE detainee locations with AI-powered natural language queries.

Features

  • 🔍 Smart Search: Natural language queries with fuzzy matching
  • 📊 Bulk Operations: Search multiple detainees simultaneously
  • 🌐 Multilingual: Support for English, Spanish, and more
  • 📋 Legal Reports: Generate comprehensive reports for legal use
  • 🗺️ Heatmap Visualization: Interactive web app showing facility locations

Quick Start

Installation

pip install ice-locator-mcp

Claude Desktop Configuration

Add to your Claude Desktop config:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "ice-locator": {
      "command": "ice-locator-mcp",
      "args": []
    }
  }
}

Available Tools

🔍 Search Tools

Tool Description Parameters
search_detainee_by_name Search by personal information with fuzzy matching first_name, last_name, date_of_birth, country_of_birth, middle_name, language, fuzzy_search
search_detainee_by_alien_number Search by alien registration number (A-number) alien_number, language
smart_detainee_search AI-powered natural language search query, context, suggest_corrections, language
bulk_search_detainees Search multiple detainees simultaneously search_requests, max_concurrent, continue_on_error
generate_search_report Generate comprehensive reports for legal use search_criteria, results, report_type, format

📋 Prompts

Prompt Description Arguments
detainee_search_guide Guide for searching ICE detainees with best practices search_type, user_role
legal_report_template Template for generating legal reports from search results report_type, client_name
family_support_guide Comprehensive guide for families searching for detained relatives relationship, language

📚 Resources

Resource Description Type
ice://facilities/database Comprehensive database of ICE detention facilities JSON
ice://search/history Track and manage previous search queries and results JSON
ice://legal/templates Templates for legal documents and correspondence Markdown
ice://support/resources Resources for families of detainees Markdown
ice://statistics/trends Historical data and trends about ICE detention JSON

Usage Examples

# Natural language search
result = await smart_detainee_search(
    query="Find Maria Rodriguez from Guatemala born around 1985"
)

# Name-based search
result = await search_detainee_by_name(
    first_name="John",
    last_name="Doe", 
    date_of_birth="1990-01-15",
    country_of_birth="Mexico"
)

# Bulk search
result = await bulk_search_detainees(
    search_requests=[...],
    max_concurrent=3
)

Web App

View the interactive heatmap: ice-locator-mcp.vercel.app

Use Cases

  • Legal Representatives: Locate clients in ICE custody
  • Family Members: Find detained relatives with AI assistance
  • Advocacy Organizations: Streamline detainee location workflows
  • AI Assistants: Enable immigration-related support capabilities

Privacy & Security

  • No Data Storage: Search data is not permanently stored
  • Local Processing: All processing happens locally
  • Optional Analytics: Privacy-first analytics with automatic data redaction
  • Rate Limiting: Respectful usage with built-in rate limiting

License

MIT License - see LICENSE for details.

Support


⚠️ Important: This is an independent project not affiliated with ICE. Use responsibly and in compliance with applicable laws.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选