ReliefWeb MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ReliefWeb as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to ReliefWeb. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in ReliefWeb?"
)
print(response)
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.
LlamaIndex agents combine ReliefWeb tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the ReliefWeb MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the ReliefWeb MCP Server
LlamaIndex provides unique advantages when paired with ReliefWeb through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ReliefWeb tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ReliefWeb tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ReliefWeb, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ReliefWeb tools were called, what data was returned, and how it influenced the final answer
ReliefWeb + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ReliefWeb MCP Server delivers measurable value.
Hybrid search: combine ReliefWeb real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ReliefWeb to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ReliefWeb for fresh data
Analytical workflows: chain ReliefWeb queries with LlamaIndex's data connectors to build multi-source analytical reports
ReliefWeb MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect ReliefWeb to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting ReliefWeb to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpReliefWeb + LlamaIndex FAQ
Common questions about integrating ReliefWeb MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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.
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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 LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.