GiveForms 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 GiveForms 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 GiveForms. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in GiveForms?"
)
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 GiveForms MCP Server
Connect your GiveForms account to any AI agent to automate your donation data extraction and fundraising reporting through the Model Context Protocol (MCP). GiveForms is a high-conversion donation platform for nonprofits. This MCP server enables you to retrieve detailed donation records, filter contributions by campaign, and search for donor activity directly through natural conversation.
LlamaIndex agents combine GiveForms 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.
Key Features
- Donation Oversight — List all donation records for your organization and fetch detailed metadata for specific contributions.
- Campaign-Specific Tracking — Filter and retrieve donations associated with a specific fundraising campaign ID.
- Donor History Discovery — Search for donation records using a donor's email address or their full name to understand their giving history.
- Real-time Data Access — Safely query your donation database with a secure integration designed for data visibility and reporting.
- Organization Insights — Access high-level metadata for your authenticated organization to verify connectivity and settings.
- Real-time Synchronization — Keep your fundraising data accessible to your AI assistant without leaving your primary workspace.
The GiveForms 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 GiveForms to LlamaIndex via MCP
Follow these steps to integrate the GiveForms 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 GiveForms
Why Use LlamaIndex with the GiveForms MCP Server
LlamaIndex provides unique advantages when paired with GiveForms through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GiveForms tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GiveForms tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GiveForms, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GiveForms tools were called, what data was returned, and how it influenced the final answer
GiveForms + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GiveForms MCP Server delivers measurable value.
Hybrid search: combine GiveForms real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GiveForms 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 GiveForms for fresh data
Analytical workflows: chain GiveForms queries with LlamaIndex's data connectors to build multi-source analytical reports
GiveForms MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect GiveForms to LlamaIndex via MCP:
find_donations_by_email
Search donor by email
find_donations_by_name
Search donor by name
get_donation_details
Get donation metadata
get_organization_info
Get org metadata
list_all_donations
List all records
list_campaign_donations
Filter by campaign
list_recent_donations
List latest records
verify_api_connection
Check connection
Example Prompts for GiveForms in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with GiveForms immediately.
"List all donations received this month."
"Find all donations from donor 'alice@email.com'."
"Show me the 5 most recent donations for campaign '98765'."
Troubleshooting GiveForms MCP Server with LlamaIndex
Common issues when connecting GiveForms to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGiveForms + LlamaIndex FAQ
Common questions about integrating GiveForms 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 GiveForms with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 GiveForms to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.