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Donorbox MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Cancel Recurring Plan, Check Api Health, Create New Donor, and more

Built by Vinkius GDPR 12 Tools Framework

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.

Ask AI about this App Connector for LlamaIndex

The Donorbox app connector for LlamaIndex is a standout in the Customer Relationship Management 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

python
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 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Donorbox?"
    )
    print(response)

asyncio.run(main())
Donorbox
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

Connect your Donorbox account to any AI agent and take full control of your nonprofit fundraising and donor engagement workflows through natural conversation.

LlamaIndex agents combine Donorbox 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

  • Donation Orchestration — List and manage donations programmatically, including filtering by email or campaign and retrieving detailed transaction metadata
  • Donor CRM — Create and update donor profiles programmatically to maintain high-fidelity records of your organization's supporters
  • Recurring Plan Lifecycle — Monitor, pause, resume, or cancel recurring donation subscriptions directly through your agent to streamline supporter management
  • Campaign Intelligence — Access your complete directory of fundraising campaigns to monitor performance and coordinate outreach in real-time
  • Operational Monitoring — Check API connectivity and monitor active webhooks directly through your agent for reliable fundraising operations

The Donorbox 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 Donorbox tools available for LlamaIndex

When LlamaIndex connects to Donorbox through Vinkius, your AI agent gets direct access to every tool listed below — spanning online-donations, fundraising, donor-crm, 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.

cancel_recurring_plan

Cancel a recurring donation

check_api_health

Verify Donorbox API connectivity

create_new_donor

Requires first name, last name, and email. Add a new donor record

get_account_profile

Get authenticated account info

list_configured_webhooks

List active webhooks

list_donations

Can be filtered by email, campaign, or amount. List all donations

list_donors

Can be filtered by name or email. List all donors

list_fundraising_campaigns

List fundraising campaigns

list_recurring_plans

List recurring donation plans

pause_recurring_plan

Pause a recurring donation

resume_recurring_plan

Resume a paused recurring donation

update_donor_info

Modify a donor record

Connect Donorbox to LlamaIndex via MCP

Follow these steps to wire Donorbox into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Donorbox

Why Use LlamaIndex with the Donorbox MCP Server

LlamaIndex provides unique advantages when paired with Donorbox through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Donorbox tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Donorbox tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Donorbox, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine Donorbox real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Donorbox to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Donorbox for fresh data

04

Analytical workflows: chain Donorbox queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Donorbox in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Donorbox immediately.

01

"List the last 5 donations in my Donorbox account."

02

"Check recurring plans for donor 'john.doe@example.com'."

03

"Pause the recurring plan with ID 'pln_456'."

Troubleshooting Donorbox MCP Server with LlamaIndex

Common issues when connecting Donorbox to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Donorbox + LlamaIndex FAQ

Common questions about integrating Donorbox MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Donorbox tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.