ReliefWeb MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ReliefWeb 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 ReliefWeb "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in ReliefWeb?"
)
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 ReliefWeb MCP Server
Connect to ReliefWeb and explore the world's largest humanitarian information database through natural conversation — no API key needed.
Pydantic AI validates every ReliefWeb tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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
- Report Search — Search humanitarian reports, situation updates and assessments with filters for country, disaster, theme, format, organization and date range
- Disaster Data — Browse tracked disasters including earthquakes, floods, cyclones, droughts and conflicts
- Countries — Get country information and associated humanitarian data
- Organizations — Find UN agencies, NGOs and government bodies publishing humanitarian data
- Job Postings — Search humanitarian job opportunities worldwide
- Themes & Formats — Explore report categories (Health, Shelter, Food, Protection) and formats (Situation Report, Assessment, Map)
The ReliefWeb MCP Server exposes 9 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 ReliefWeb to Pydantic AI via MCP
Follow these steps to integrate the ReliefWeb 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 9 tools from ReliefWeb with type-safe schemas
Why Use Pydantic AI with the ReliefWeb MCP Server
Pydantic AI provides unique advantages when paired with ReliefWeb 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 ReliefWeb integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ReliefWeb connection logic from agent behavior for testable, maintainable code
ReliefWeb + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ReliefWeb MCP Server delivers measurable value.
Type-safe data pipelines: query ReliefWeb with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ReliefWeb tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ReliefWeb and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ReliefWeb responses and write comprehensive agent tests
ReliefWeb MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect ReliefWeb to Pydantic AI via MCP:
get_countries
Returns country names, ISO codes and associated disaster counts. Useful for finding country IDs to use in report searches. Search countries in the ReliefWeb database
get_disasters
Returns disaster names, types (earthquake, flood, cyclone, etc.), start dates and affected countries. Search disasters (earthquakes, floods, cyclones, etc.)
get_formats
Returns format names and IDs (Situation Report, Assessment, Press Release, Map, etc.) for filtering reports by type. Get report formats
get_jobs
Returns job titles, organizations, locations, types and posting dates. Search humanitarian job postings
get_organizations
Returns organization names, types and report counts. Search humanitarian organizations
get_report
Returns full report metadata including title, body, source, themes, countries, disasters and file attachments. Get a specific report by ID
get_reports
Supports free-text query, date range filtering, and filtering by country, disaster type, theme, format, source, organization and language. Returns report titles, dates, sources, themes and links. Search humanitarian reports
get_sources
Returns source names and types. Get report sources
get_themes
Returns theme names and IDs for filtering reports by topic (Health, Shelter, Food, Protection, etc.). Get report themes
Example Prompts for ReliefWeb in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with ReliefWeb immediately.
"Find situation reports about earthquakes in Turkey."
"What disasters are currently active?"
"Show me humanitarian job postings in South Sudan."
Troubleshooting ReliefWeb MCP Server with Pydantic AI
Common issues when connecting ReliefWeb to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiReliefWeb + Pydantic AI FAQ
Common questions about integrating ReliefWeb 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 ReliefWeb 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 ReliefWeb to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.