forpublicai/publicai-mcp-server

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A FastMCP server that provides AI assistants with access to current, community-maintained information and real-time services.

概要

A FastMCP server that provides AI assistants with access to current, community-maintained information and real-time services. Public AI bridges the gap between AI assistants and real-world information. Instead of relying on outdated training data, AI assistants can query this MCP server to access: - from wiki.publicai.co - for transit, parking, and location services - like crisis hotlines, emergency services, and community information - Python code that AI assistants can call. These functions access two types of data: (access community-maintained data) - Read from wiki.publicai.

README

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Public AI MCP Server

A FastMCP server that provides AI assistants with access to current, community-maintained information and real-time services.

What is Public AI?

Public AI bridges the gap between AI assistants and real-world information. Instead of relying on outdated training data, AI assistants can query this MCP server to access:

Community-maintained data from wiki.publicai.co
Real-time APIs for transit, parking, and location services
Localized resources like crisis hotlines, emergency services, and community information

How It Works

AI Assistant (Claude, etc.)
    ↓ queries
MCP Server (this repository)
    ↓ fetches from
    ├─→ Wiki (community data)
    └─→ External APIs (real-time data)

Understanding Wiki Tools vs MCP Functions

This repository contains MCP functions - Python code that AI assistants can call. These functions access two types of data:

1. Wiki-Based Functions (access community-maintained data)

Read from wiki.publicai.co where community members maintain Wiki Tools
Wiki Tools = structured data stored using MediaWiki Cargo (database-like tables)
Examples: Crisis hotlines, BTO launches, community events
To contribute data: Edit Wiki Tools on the wiki (no coding required)
To add new tool types: Create new Wiki Tool with Cargo schema on wiki + add MCP function here

2. API-Based Functions (real-time integrations)

Call external APIs for live data (transit, parking, maps)
Examples: Swiss transport, Singapore carpark availability
To contribute: Add Python code to this repository

Example Flow

User asks AI a question: “What’s the suicide hotline in Singapore?”
AI calls MCP function: use_tool(tool="SuicideHotline", country="Singapore")
MCP function queries wiki: Reads from SuicideHotline Wiki Tool’s Cargo database
AI gets current info: Returns verified, community-maintained resources

Available MCP Functions

Wiki-Based Functions

Functions that read community-maintained Wiki Tools from wiki.publicai.co:

`list_tools_by_community(community: str)`

List all tools available for a specific community.

Example:

list_tools_by_community(community="Switzerland")
# Returns: List of tools tagged with "Switzerland"

`use_tool(tool: str, country: Optional[str] = None, region: Optional[str] = None)`

Use a Public AI tool. Automatically adapts based on whether the tool has location-specific resources.

For tools with resources (e.g., SuicideHotline):

use_tool(tool="SuicideHotline", country="Singapore")
# Returns: Crisis hotline numbers and resources for Singapore

For tools without resources (e.g., UpcomingBTO):

use_tool(tool="UpcomingBTO")
# Returns: Full page content about BTO launches

API-Based Functions: Swiss Transport

GitHub で README 全文を見る

インストール

This server does not publish a one-line install command.

Open the repository installation guide MCP 初心者？mcpskill.org のガイドから始めましょう →

設定

{
  "mcpServers": {
    "publicai": {
      "command": "python",
      "args": ["/path/to/pai-mcp-server/main.py"]
    }
  }
}