Bloomerang MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Bloomerang through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"bloomerang": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Bloomerang Agent",
instructions:
"You help users interact with Bloomerang " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Bloomerang?"
);
console.log(result.text);
}
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 Bloomerang MCP Server
Connect your Bloomerang donor management system to any AI agent and orchestrate your non-profit fundraising and donor engagement workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Bloomerang tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Constituent Oversight — List and retrieve detailed profiles for donors (individuals and organizations).
- Transaction Auditing — Query and inspect donation transactions, pledge payments, and recurring gifts.
- Fundraising Strategy — List and monitor campaigns, appeals, and funds to track fundraising progress.
- Donor Engagement — Access tasks and notes associated with constituents to maintain strong relationships.
- CRM Integration — Retrieve core CRM data including donor IDs and contact history straight from your workspace.
The Bloomerang MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI 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 Bloomerang to Mastra AI via MCP
Follow these steps to integrate the Bloomerang MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Bloomerang via MCP
Why Use Mastra AI with the Bloomerang MCP Server
Mastra AI provides unique advantages when paired with Bloomerang through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Bloomerang without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Bloomerang tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Bloomerang + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Bloomerang MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Bloomerang, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Bloomerang as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Bloomerang on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Bloomerang tools alongside other MCP servers
Bloomerang MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Bloomerang to Mastra AI via MCP:
create_constituent
Create a new individual constituent
get_constituent
Get details of a specific constituent
get_transaction
Get specific transaction details
list_appeals
List all fundraising appeals
list_campaigns
List all fundraising campaigns
list_constituents
List all constituents (donors)
list_funds
List all fundraising funds
list_notes
List constituent notes
list_tasks
List constituent tasks
list_transactions
List all transactions
Example Prompts for Bloomerang in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Bloomerang immediately.
"List all our donors in Bloomerang."
"Show the fundraising campaigns we have running."
"Find the last 5 transactions recorded."
Troubleshooting Bloomerang MCP Server with Mastra AI
Common issues when connecting Bloomerang to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBloomerang + Mastra AI FAQ
Common questions about integrating Bloomerang MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Bloomerang 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 Bloomerang to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.