How to Use the BoardEffect MCP in Mastra AI

Q: Can I require manual approval before Mastra AI pulls BoardEffect member data?

Yes. You can set requireToolApproval to true in your Mastra AI agent configuration. This stops the agent from running listmembers or getmember until a human administrator reviews and approves the request.

Q: How do I register BoardEffect tools from this MCP Server within a Mastra agent?

You initialize the client, call mcpClient.listTools(), and spread those tools directly into your Agent's tool array. This gives your Mastra agent immediate access to tools like listworkrooms and listmeetings.

Build reliable BoardEffect workflows with Mastra AI and this MCP Server to automate meeting prep.

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Automate BoardEffect meeting prep with Mastra AI

The BoardEffect MCP Server exposes board data directly to your Mastra AI automation pipelines. Board prep is notorious for failing when a single document is missing, but Mastra AI solves this by letting you build workflows that call `list_meetings` and automatically check if the corresponding materials are ready. If the Mastra AI agent runs `list_documents` and finds a missing agenda, the workflow engine handles the error gracefully. It doesn't just crash; it triggers a retry or alerts the administrator, ensuring your BoardEffect board members never walk into a meeting empty-handed.

Build Mastra AI workflows for BoardEffect member onboarding

When a new director joins, you need to verify their BoardEffect profile and assign them to the right workrooms. With Mastra AI, your agent can run `list_members` and conditionally check their status using `get_member` to ensure their profile is complete. If the profile is flagged as incomplete, the Mastra AI workflow branches off to alert the corporate secretary. By using this setup, you turn a tedious manual BoardEffect verification checklist into an automated, self-healing background process.

Track active BoardEffect polls and surveys with Mastra AI

Getting directors to vote on resolutions is always a struggle, but you can build a Mastra AI workflow that runs `list_polls` and `list_surveys` on a schedule to see which BoardEffect decisions are still pending. The Mastra AI workflow engine evaluates the response and can automatically escalate unanswered polls to a human reviewer. This keeps your BoardEffect governance tasks moving forward without requiring you to manually check the portal every morning.

Setup guide

Set up BoardEffect MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All BoardEffect tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "boardeffect-mcp-client",
  servers: {
    "boardeffect-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "BoardEffect Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to BoardEffect tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent BoardEffect transactions"
);
console.log(result.text);

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Common questions about BoardEffect MCP in Mastra AI

Mastra AI features a built-in workflow engine with automatic retries and exponential backoff. If `list_archives` fails due to a network glitch, the workflow pauses and retries the call before throwing an error.

Yes. You can set `requireToolApproval` to true in your Mastra AI agent configuration. This stops the agent from running `list_members` or `get_member` until a human administrator reviews and approves the request.

You configure the server URL and authorization headers within the `MCPClient` initialization block. This keeps your secrets secure and out of the workflow logic when executing tools like `get_account_info`.

You initialize the client, call `mcpClient.listTools()`, and spread those tools directly into your Agent's tool array. This gives your Mastra agent immediate access to tools like `list_workrooms` and `list_meetings`.

Your documents, polls, and member details are never stored by Mastra. The data flows directly from the secure Vinkius sandbox to your local runtime, ensuring board materials remain strictly confidential.

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