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GlassFrog MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GlassFrog through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "glassfrog": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "GlassFrog Agent",
    instructions:
      "You help users interact with GlassFrog " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with GlassFrog?"
  );
  console.log(result.text);
}

main();
GlassFrog
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 GlassFrog MCP Server

Connect your GlassFrog organization to any AI agent to automate your Holacracy governance and tactical operations through the Model Context Protocol (MCP). GlassFrog is the premier platform for self-management and organizational clarity. This MCP server enables you to retrieve circle structures, role definitions, project lists, and performance metrics directly through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and GlassFrog tool infrastructure. Connect 12 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.

Key Features

  • Organizational Oversight — List all circles and role definitions, retrieving detailed purposes and accountabilities for every role in the organization.
  • Tactical Project Management — Access and list tactical projects, and programmatically create new projects within specific circles from your chat interface.
  • Governance Transparency — Retrieve circle policies and governance records to understand the rules and constraints of your organization.
  • Performance Metrics — Access defined metrics and checklist items to track organizational health and tactical progress.
  • Workforce Collaboration — List all organization members and search for specific people by email to verify role assignments.
  • Real-time Synchronization — Keep your Holacracy data accessible to your AI assistant without leaving your primary workspace.

The GlassFrog MCP Server exposes 12 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 GlassFrog to Mastra AI via MCP

Follow these steps to integrate the GlassFrog MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from GlassFrog via MCP

Why Use Mastra AI with the GlassFrog MCP Server

Mastra AI provides unique advantages when paired with GlassFrog through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GlassFrog without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every GlassFrog tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

GlassFrog + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the GlassFrog MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query GlassFrog, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed GlassFrog as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query GlassFrog on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using GlassFrog tools alongside other MCP servers

GlassFrog MCP Tools for Mastra AI (12)

These 12 tools become available when you connect GlassFrog to Mastra AI via MCP:

01

create_new_project

Add a project

02

find_member_by_email

Search member

03

get_circle_summary

Get circle overview

04

list_checklist_items

List checklists

05

list_circle_metrics

List metrics

06

list_circle_policies

List policies

07

list_holacracy_circles

List all circles

08

list_holacracy_roles

List role definitions

09

list_org_members

List people

10

list_role_assignments

List assignments

11

list_tactical_projects

List all projects

12

verify_api_connection

Check connection

Example Prompts for GlassFrog in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with GlassFrog immediately.

01

"List all active circles in my organization."

02

"What are the accountabilities for the 'Product Manager' role?"

03

"Show me the current tactical metrics for the 'Marketing' circle (ID: 123)."

Troubleshooting GlassFrog MCP Server with Mastra AI

Common issues when connecting GlassFrog to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

GlassFrog + Mastra AI FAQ

Common questions about integrating GlassFrog MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect GlassFrog to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.