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How to Use the GiveWP MCP in LlamaIndex

Index your GiveWP fundraising data into LlamaIndex to create a searchable knowledge base for your AI agent.

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LlamaIndex

Connect GiveWP MCP to LlamaIndex

Create your Vinkius account to connect GiveWP to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Query GiveWP data with LlamaIndex

Convert your donation records into a vector index for semantic search. When you ask about donor trends, LlamaIndex uses `list_plugin_donors` to ground its answers in your actual database. This stops your agent from guessing. It pulls exact figures from your latest transactions instead of relying on generic training data.

Build RAG apps with GiveWP tools

Create a unified knowledge base by mixing your API data with local documents. The agent uses `get_plugin_stats` to verify recent performance metrics while referencing your fundraising strategy docs. This gives your agent context. It understands how current donation volume aligns with your quarterly goals.

Automate donor history lookups

Use LlamaIndex to perform complex semantic lookups on your donor history. Instead of exact matches, the agent uses `find_donor_history` to retrieve relevant records based on your natural language questions. This saves time. You get the specific donor context you need without searching through manual exports or spreadsheets.

Setup guide

Set up GiveWP MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all GiveWP MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to GiveWP tools.",
)
response = await agent.run("List recent GiveWP data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GiveWP. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GiveWP MCP in LlamaIndex

Use the MCP tool spec to fetch your records and feed them into your vector store. This makes every donation entry available for semantic retrieval.
The agent receives an empty response and handles it according to your logic. You can set up your agent to report a summary of zero donations if no records match.
Yes. All data retrieved via MCP is handled in memory. We do not store your donor records on our servers, ensuring your data privacy remains intact.
The FunctionAgent can chain multiple tool calls together. It might call `list_donation_forms` first, then analyze each form with `get_form_details`.
You can restrict which tools the agent accesses. Simply use the allowed_tools filter to limit the agent to read-only operations for your donor records.

Start using the GiveWP MCP today

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