Donately 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 Donately 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 Donately. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Donately?"
)
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 Donately MCP Server
Integrate Donately, the simplest online fundraising platform, directly into your AI workflow. Manage your donations and recurring contributions, track donor profiles and lifetime giving, monitor fundraising campaigns and progress, and oversee your fundraisers using natural language.
LlamaIndex agents combine Donately 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.
- Donor Intelligence — Monitor real-time donor profiles, contact details, and lifetime giving history across your organization.
- Campaign Monitoring — Track fundraising campaigns, goals, and current progress metrics to ensure successful outcomes.
- Contribution Auditing — Retrieve high-level summaries of fundraising performance and identify your most impactful contributors instantly.
The Donately 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 Donately to LlamaIndex via MCP
Follow these steps to integrate the Donately 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 Donately
Why Use LlamaIndex with the Donately MCP Server
LlamaIndex provides unique advantages when paired with Donately through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Donately tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Donately tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Donately, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Donately tools were called, what data was returned, and how it influenced the final answer
Donately + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Donately MCP Server delivers measurable value.
Hybrid search: combine Donately real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Donately 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 Donately for fresh data
Analytical workflows: chain Donately queries with LlamaIndex's data connectors to build multi-source analytical reports
Donately MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Donately to LlamaIndex via MCP:
get_campaign_performance_summary
Retrieve a high-level summary of a specific campaigns performance
get_donately_account_metadata
Retrieve metadata and limits for your Donately account
get_donation_details
Get detailed information for a specific donation
get_donor_profile
Get full profile and giving history for a specific donor
list_active_donors
List all donors registered in your Donately organization
list_all_donations
List all donations received in your Donately account
list_fundraising_campaigns
List all fundraising campaigns configured in Donately
list_highest_lifetime_donors
Identify donors with the highest lifetime contribution totals (mock logic)
list_latest_contributions
Identify the most recently received donations
search_donations_by_email
Search for donations matching a specific donor email address
Example Prompts for Donately in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Donately immediately.
"List the latest donations received."
"Show me the progress for our 'Summer Relief' campaign."
"Research the donor profile for 'robert.brown@example.com'."
Troubleshooting Donately MCP Server with LlamaIndex
Common issues when connecting Donately to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDonately + LlamaIndex FAQ
Common questions about integrating Donately 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 Donately 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 Donately to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.