GDACS MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GDACS through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to GDACS "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in GDACS?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About GDACS MCP Server
Connect to GDACS (Global Disaster Alert and Coordination System) and monitor worldwide disaster activity through natural conversation — no API key needed.
Pydantic AI validates every GDACS tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Earthquake Tracking — Monitor earthquakes worldwide with magnitude filtering, depth data and impact estimates
- Cyclone Monitoring — Track tropical cyclones, hurricanes and typhoons with categories, wind speeds and forecast tracks
- Flood Alerts — Monitor flood events with affected population estimates and severity levels
- Volcanic Activity — Track volcanic eruptions with ash plume data and alert levels
- Wildfire Monitoring — Monitor wildfires with burned area estimates and affected populations
- Drought Tracking — Track drought events with severity levels and population impact
- Impact Estimates — Get population exposure, estimated fatalities and economic losses for each event
- Alert Levels — View color-coded alerts (red=high, orange=medium, green=low)
The GDACS MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect GDACS to Pydantic AI via MCP
Follow these steps to integrate the GDACS MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from GDACS with type-safe schemas
Why Use Pydantic AI with the GDACS MCP Server
Pydantic AI provides unique advantages when paired with GDACS through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GDACS integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your GDACS connection logic from agent behavior for testable, maintainable code
GDACS + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the GDACS MCP Server delivers measurable value.
Type-safe data pipelines: query GDACS with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple GDACS tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query GDACS and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock GDACS responses and write comprehensive agent tests
GDACS MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect GDACS to Pydantic AI via MCP:
get_alert_detail
Get details for a specific alert
get_alerts
Alerts are color-coded: red (high impact), orange (medium impact), green (low impact). Supports filtering by event type and time period. Get disaster alerts
get_event_detail
Get details for a specific disaster event
get_event_geojson
Returns geographic boundaries, affected areas and population exposure polygons. Get GeoJSON data for a disaster event
get_event_list
Supports filtering by event type (EQ=earthquake, TC=cyclone, FL=flood, VO=volcano, WF=wildfire, DR=drought), date range, and time period. Returns event names, types, magnitudes, alert levels, start dates and affected countries. Search disaster events
get_impacts
Returns estimated population affected, fatalities, economic losses and confidence levels. Get impact estimates for a disaster event
get_latest_cyclones
Returns cyclone names, categories, wind speeds, locations, alert levels and forecast tracks. Get latest tropical cyclones worldwide
get_latest_droughts
Returns drought locations, start dates, severity levels, alert levels and affected populations. Get latest drought events worldwide
get_latest_earthquakes
Returns magnitude, depth, location, alert level and affected countries. Optionally filter by minimum magnitude and number of days. Get latest earthquakes worldwide
get_latest_floods
Returns flood locations, start dates, alert levels, affected populations and severity estimates. Get latest floods worldwide
get_latest_volcanoes
Returns volcano names, locations, eruption types, alert levels and ash plume information. Get latest volcanic activity worldwide
get_latest_wildfires
Returns fire locations, start dates, burned areas, alert levels and affected populations. Get latest wildfires worldwide
Example Prompts for GDACS in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with GDACS immediately.
"What earthquakes happened in the last 7 days?"
"Are there any active cyclones right now?"
"Show me flood alerts for the last 3 days."
Troubleshooting GDACS MCP Server with Pydantic AI
Common issues when connecting GDACS to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGDACS + Pydantic AI FAQ
Common questions about integrating GDACS MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect GDACS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GDACS to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.