Classy.org MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Classy.org 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 Classy.org. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Classy.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 Classy.org MCP Server
Connect your Classy.org (GoFundMe Pro) account to any AI agent and take full control of your fundraising operations through natural conversation. Streamline how you manage donor relationships and campaign performance natively.
LlamaIndex agents combine Classy.org tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Campaign Oversight — List and retrieve details for all active and inactive fundraising campaigns natively
- Transaction Intelligence — Access recent donation and registration records including amounts and statuses flawlessly
- Supporter Logistics — List community members and individual supporters to maintain relationships securely
- Page & Team Management — Monitor individual fundraising pages and team-based efforts flawlessly
- Activity Auditing — Access a real-time feed of interactions, such as new donations or page creations, flawlessly
- Organization Visibility — Retrieve organization settings and high-level data directly within your workspace
The Classy.org MCP Server exposes 8 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 Classy.org to LlamaIndex via MCP
Follow these steps to integrate the Classy.org 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 8 tools from Classy.org
Why Use LlamaIndex with the Classy.org MCP Server
LlamaIndex provides unique advantages when paired with Classy.org through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Classy.org tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Classy.org tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Classy.org, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Classy.org tools were called, what data was returned, and how it influenced the final answer
Classy.org + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Classy.org MCP Server delivers measurable value.
Hybrid search: combine Classy.org real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Classy.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 Classy.org for fresh data
Analytical workflows: chain Classy.org queries with LlamaIndex's data connectors to build multi-source analytical reports
Classy.org MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Classy.org to LlamaIndex via MCP:
get_activity_feed
Retrieve a feed of recent interactions (donations, registrations)
get_campaign_details
Get detailed information for a specific campaign
list_classy_members
List community members and supporters
list_classy_organizations
Retrieve organization data and settings
list_donation_transactions
List recent donation and registration transactions
list_fundraising_campaigns
List all fundraising campaigns
list_fundraising_teams
List team-based fundraising pages
list_individual_fundraising_pages
List individual supporter fundraising pages
Example Prompts for Classy.org in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Classy.org immediately.
"List all active fundraising campaigns in Classy."
"Show me the last 5 donations."
"Who are the top fundraisers in the 'Marathon 2026' team?"
Troubleshooting Classy.org MCP Server with LlamaIndex
Common issues when connecting Classy.org to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClassy.org + LlamaIndex FAQ
Common questions about integrating Classy.org 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 Classy.org 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 Classy.org to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.