ReliefWeb MCP Server for LangChain 9 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ReliefWeb through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"reliefweb": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using ReliefWeb, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with ReliefWeb through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the ReliefWeb MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 9 tools from ReliefWeb via MCP
Why Use LangChain with the ReliefWeb MCP Server
LangChain provides unique advantages when paired with ReliefWeb through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ReliefWeb MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across ReliefWeb queries for multi-turn workflows
ReliefWeb + LangChain Use Cases
Practical scenarios where LangChain combined with the ReliefWeb MCP Server delivers measurable value.
RAG with live data: combine ReliefWeb tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ReliefWeb, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ReliefWeb tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ReliefWeb tool call, measure latency, and optimize your agent's performance
ReliefWeb MCP Tools for LangChain (9)
These 9 tools become available when you connect ReliefWeb to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting ReliefWeb to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersReliefWeb + LangChain FAQ
Common questions about integrating ReliefWeb MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.