Every.org MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Browse By Cause, Browse Causes, Check Everyorg Status, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Every.org as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Every.org app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Every.org. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Every.org?"
)
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 Every.org MCP Server
Connect your Every.org account to any AI agent and take full control of your philanthropic discovery and fundraising workflows through natural conversation.
LlamaIndex agents combine Every.org tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Nonprofit Orchestration — Search across over 1.5 million registered 501(c)(3) nonprofits programmatically using keywords and location filters
- Cause Intelligence — Browse and filter nonprofits by specific causes such as climate, education, or animal welfare to maintain high-fidelity social impact
- Fundraising Automation — Programmatically create and manage fundraisers for your favorite nonprofits directly through your agent (Requires Private Key)
- Deep Metadata Retrieval — Access detailed information for specific nonprofits, including descriptions, EINs, and direct donation links
- Philanthropic Visibility — Monitor your active fundraisers and retrieve engagement metadata programmatically using natural language commands
The Every.org MCP Server exposes 12 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.
All 12 Every.org tools available for LlamaIndex
When LlamaIndex connects to Every.org through Vinkius, your AI agent gets direct access to every tool listed below — spanning every-org, nonprofits-api, charity-search, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Browse by cause
Browse causes
Verify connectivity
Create a donation
Create a fundraiser
Get featured nonprofits
Get fundraiser details
Get nonprofit details
Get nonprofit by EIN
List donations
List fundraisers
Search nonprofits
Connect Every.org to LlamaIndex via MCP
Follow these steps to wire Every.org into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Every.org MCP Server
LlamaIndex provides unique advantages when paired with Every.org through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Every.org tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Every.org tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Every.org, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Every.org tools were called, what data was returned, and how it influenced the final answer
Every.org + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Every.org MCP Server delivers measurable value.
Hybrid search: combine Every.org real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Every.org 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 Every.org for fresh data
Analytical workflows: chain Every.org queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Every.org in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Every.org immediately.
"Search for nonprofits helping with 'ocean cleanup' on Every.org."
"Browse nonprofits in the 'education' cause."
"Create a fundraiser for 'Room to Read' titled 'Support Global Literacy'."
Troubleshooting Every.org MCP Server with LlamaIndex
Common issues when connecting Every.org to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEvery.org + LlamaIndex FAQ
Common questions about integrating Every.org MCP Server with LlamaIndex.