Donorbox 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 Donorbox 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 Donorbox. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Donorbox?"
)
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 Donorbox MCP Server
Integrate Donorbox, the powerful and easy-to-use donation software, directly into your AI workflow. Manage your one-time and recurring donations, track donor profiles and subscription plans, monitor fundraising campaigns and progress, and oversee your donation forms using natural language.
LlamaIndex agents combine Donorbox 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
- Donation Oversight — List and retrieve detailed information and payment status for all your received contributions.
- Subscription Intelligence — Monitor active recurring donation plans, frequencies, and donor identifiers across your organization.
- Campaign Monitoring — Track fundraising campaigns, goals, total raised amounts, and progress percentages to ensure successful outcomes.
- Donor Auditing — Retrieve high-level summaries of donor engagement and identify your most loyal contributors instantly.
The Donorbox 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 Donorbox to LlamaIndex via MCP
Follow these steps to integrate the Donorbox 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 Donorbox
Why Use LlamaIndex with the Donorbox MCP Server
LlamaIndex provides unique advantages when paired with Donorbox through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Donorbox tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Donorbox tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Donorbox, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Donorbox tools were called, what data was returned, and how it influenced the final answer
Donorbox + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Donorbox MCP Server delivers measurable value.
Hybrid search: combine Donorbox real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Donorbox 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 Donorbox for fresh data
Analytical workflows: chain Donorbox queries with LlamaIndex's data connectors to build multi-source analytical reports
Donorbox MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Donorbox to LlamaIndex via MCP:
get_campaign_details
Get detailed settings and progress for a specific campaign
get_donorbox_account_metadata
Retrieve metadata for the current authenticated user
list_active_subscription_plans
Identify recurring plans that are currently in an "Active" status
list_donorbox_donations
List all donations received in your Donorbox account
list_fundraising_campaigns
List all fundraising campaigns configured in Donorbox
list_latest_contributions
Identify the most recently received donations
list_recurring_donation_plans
List all active recurring donation plans
list_registered_donors
List all donors registered in your Donorbox organization
quick_campaign_performance_audit
Retrieve a high-level summary of all campaign success rates
search_donors_by_email
Search for a donor using their email address
Example Prompts for Donorbox in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Donorbox immediately.
"List all recent donations received in Donorbox."
"Show me the performance for campaign 'Save the Oceans'."
"Find the recurring plan for donor 'sarah.jones@example.org'."
Troubleshooting Donorbox MCP Server with LlamaIndex
Common issues when connecting Donorbox to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDonorbox + LlamaIndex FAQ
Common questions about integrating Donorbox 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 Donorbox 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 Donorbox to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.