Candid (GuideStar) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Candid (GuideStar) 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 MCP SERVER
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 Candid (GuideStar). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Candid (GuideStar)?"
)
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 Candid (GuideStar) MCP Server
Connect your Candid (formerly GuideStar) account to any AI agent and orchestrate your non-profit research, due diligence, and philanthropic data workflows through natural conversation.
LlamaIndex agents combine Candid (GuideStar) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Organization Oversight — Search for non-profits by name, location, or NTEE code and retrieve basic metadata using the Essentials API.
- Deep-Dive Profiles — Access comprehensive data (Premier tier) including mission statements, leadership, and detailed financials.
- Charity Compliance — Verify IRS tax-exempt status and eligibility to receive tax-deductible contributions using the Charity Check tool.
- Financial Auditing — Retrieve detailed financial records and IRS Form 990 data straight from your workspace.
- Demographics Analysis — Access diversity, equity, and inclusion (DEI) data for organizations to inform your philanthropic strategy.
- Organization Discovery — Use the EIN (Employer Identification Number) as a primary key to fetch 760+ data fields for individual entities.
The Candid (GuideStar) MCP Server exposes 10 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 Candid (GuideStar) to LlamaIndex via MCP
Follow these steps to integrate the Candid (GuideStar) 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 10 tools from Candid (GuideStar)
Why Use LlamaIndex with the Candid (GuideStar) MCP Server
LlamaIndex provides unique advantages when paired with Candid (GuideStar) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Candid (GuideStar) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Candid (GuideStar) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Candid (GuideStar), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Candid (GuideStar) tools were called, what data was returned, and how it influenced the final answer
Candid (GuideStar) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Candid (GuideStar) MCP Server delivers measurable value.
Hybrid search: combine Candid (GuideStar) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Candid (GuideStar) 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 Candid (GuideStar) for fresh data
Analytical workflows: chain Candid (GuideStar) queries with LlamaIndex's data connectors to build multi-source analytical reports
Candid (GuideStar) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Candid (GuideStar) to LlamaIndex via MCP:
get_charity_check_pdf
Generate a PDF report for compliance record-keeping
get_demographics
Get DEI data for a nonprofit
get_grant_details
Get specific details for a grant
get_nonprofit_eligibility
Verify nonprofit eligibility for specific donation platforms
get_nonprofit_essentials
Get core details for a nonprofit by EIN
get_nonprofit_news
Get real-time social sector news related to a nonprofit
get_nonprofit_premier
Get comprehensive deep-dive data for a nonprofit by EIN
search_grants
Search for grants awarded by foundations
search_nonprofits
Search for nonprofits using filters
verify_charity_status
Verify an organization's eligibility to receive tax-deductible contributions
Example Prompts for Candid (GuideStar) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Candid (GuideStar) immediately.
"Search for non-profits in 'Miami' with the name 'Red Cross'."
"Get detailed financial info for EIN 13-162xxxx."
"Verify the charity status for EIN 52-153xxxx."
Troubleshooting Candid (GuideStar) MCP Server with LlamaIndex
Common issues when connecting Candid (GuideStar) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCandid (GuideStar) + LlamaIndex FAQ
Common questions about integrating Candid (GuideStar) 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 Candid (GuideStar) 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 Candid (GuideStar) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
