How to Use the Every.org MCP in LlamaIndex

Q: How do I index Every.org nonprofit data using LlamaIndex?

Install llama-index-tools-mcp and initialize the BasicMCPClient with your Vinkius endpoint. Convert the client tools using McpToolSpec and pass them to your LlamaIndex agent.

Q: Can LlamaIndex query Every.org featured charities directly?

Yes, the agent invokes getfeatured to pull active nonprofit highlights. LlamaIndex then parses this data into queryable nodes for your semantic search application.

Q: Can I restrict which MCP tools my agent can access?

Yes, you can pass an allowedtools filter list to the tool spec. This lets you expose only search tools like searchnonprofits while keeping donation tools private.

Index over a million nonprofits into your LlamaIndex vector store using the Every.org MCP Server.

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Connect Every.org MCP to LlamaIndex

Create your Vinkius account to connect Every.org to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Every.org with LlamaIndex

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Build nonprofit knowledge bases with LlamaIndex RAG

The `get_nonprofit` tool pulls structured data from Every.org directly into your LlamaIndex document pipelines. Your agent indexes this data into vector stores, allowing users to query nonprofit profiles using semantic search rather than rigid keyword matches. You use `get_nonprofit_by_ein` to fetch verified tax data and append it to your LlamaIndex vector index. This guarantees that your RAG pipeline serves accurate, grounded answers instead of generating hallucinated charity details.

Search-driven cause indexing for LlamaIndex retrieval

The `search_nonprofits` tool enables your LlamaIndex query engine to fetch live charity registries during user interactions. The Every.org tool output converts into indexable nodes on the fly, updating your local LlamaIndex knowledge base with real-time data. By calling `browse_causes`, your LlamaIndex agent maps user queries to specific charitable sectors on Every.org. This integration ensures that your search index stays fresh without requiring massive, manual database migrations.

Grounded fundraiser tracking with LlamaIndex tools

The `get_fundraiser` tool retrieves active campaign metrics to ground your LlamaIndex agent's responses in current fundraising data. Your LlamaIndex agent queries this tool to verify campaign progress before answering user questions. You use `list_fundraisers` to feed fresh Every.org campaign lists into your index. This mechanism keeps your retrieval-augmented generation pipeline updated with actual donation progress.

Setup guide

Set up Every.org MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Every.org MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Every.org tools.",
)
response = await agent.run("List recent Every.org data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Every.org. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Every.org MCP in LlamaIndex

Install `llama-index-tools-mcp` and initialize the `BasicMCPClient` with your Vinkius endpoint. Convert the client tools using `McpToolSpec` and pass them to your LlamaIndex agent.

Yes, the agent invokes `get_featured` to pull active nonprofit highlights. LlamaIndex then parses this data into queryable nodes for your semantic search application.

LlamaIndex relies on the underlying MCP client to handle network requests. You can monitor connection health using `check_everyorg_status` before executing intensive indexing jobs.

Yes, you can pass an `allowed_tools` filter list to the tool spec. This lets you expose only search tools like `search_nonprofits` while keeping donation tools private.

The server runs in a zero-trust, ephemeral V8 container on Vinkius. It handles tax-exempt status records only during active tool execution and never caches EIN search histories on disk.

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