Givebutter MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Givebutter through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Givebutter, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Givebutter MCP Server
Connect your Givebutter account to any AI agent to automate your fundraising operations and donor management through the Model Context Protocol (MCP). Givebutter is the modern fundraising platform for nonprofits and changemakers. This MCP server enables you to retrieve donation transactions, manage fundraising campaigns, and synchronize donor profiles (contacts) directly through natural conversation.
The Vercel AI SDK gives every Givebutter tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Donation Oversight — List all donation transactions, fetch detailed metadata including status and timestamps, and monitor your revenue flow instantly.
- Campaign Management — Access active fundraising campaigns and events, retrieving detailed configuration and total raised amounts.
- Donor Synchronization — Search and list donor profiles, retrieve detailed contact metadata, and programmatically add new donors to your database.
- Offline Recording — Record offline donations or external payments programmatically to maintain a unified source of truth for your fundraising.
- Recurring Plan Monitoring — List and track configured recurring donation plans to understand long-term donor commitment.
- Webhook Visibility — Monitor active webhooks to ensure your internal systems are receiving real-time donation notifications.
- Real-time Synchronization — Keep your nonprofit's financial data accessible to your AI assistant without leaving your primary workspace.
The Givebutter MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK 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 Givebutter to Vercel AI SDK via MCP
Follow these steps to integrate the Givebutter MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Givebutter and passes them to the LLM
Why Use Vercel AI SDK with the Givebutter MCP Server
Vercel AI SDK provides unique advantages when paired with Givebutter through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Givebutter integration everywhere
Built-in streaming UI primitives let you display Givebutter tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Givebutter + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Givebutter MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Givebutter in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Givebutter tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Givebutter capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Givebutter through natural language queries
Givebutter MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Givebutter to Vercel AI SDK via MCP:
get_account_details
Get account identity
get_campaign_details
Get campaign metadata
get_transaction_details
Get transaction metadata
list_donation_transactions
List donations
list_donation_webhooks
List webhook configs
list_donor_contacts
List donor profiles
list_fundraising_campaigns
List active campaigns
list_recent_donations
List last 10 success
list_recurring_plans
List recurring plans
record_offline_donation
Log a donation
sync_donor_contact
Add new donor
verify_api_connection
Check connection
Example Prompts for Givebutter in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Givebutter immediately.
"List all successful donations from the last 24 hours."
"Check the progress of our 'Annual Gala' campaign (ID: gala_2024)."
"Log an offline donation of $50.00 from 'Alice Smith' (ID: contact_123)."
Troubleshooting Givebutter MCP Server with Vercel AI SDK
Common issues when connecting Givebutter to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGivebutter + Vercel AI SDK FAQ
Common questions about integrating Givebutter MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Givebutter 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 Givebutter to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.