How do I get an API Key for GlassFrog?

Log in to your GlassFrog account, click on your profile avatar, go to 'Settings', and then 'API Keys' to generate or copy your token.

What is a Circle in GlassFrog?

A Circle is an organizational unit in Holacracy that groups together related roles and responsibilities to achieve a specific purpose.

Can I create new projects via the agent?

Yes! Use the 'create_new_project' tool. You will need to provide a description and the ID of the Circle where the project should be added.

How do I find a Circle ID?

Use the 'list_holacracy_circles' tool. The agent will return all available circles along with their unique IDs and names.

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

Name: GlassFrog
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GlassFrog through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to GlassFrog "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in GlassFrog?"
    )
    print(result.data)

asyncio.run(main())

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.

Pydantic AI validates every GlassFrog tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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 12 tools from GlassFrog with type-safe schemas

Why Use Pydantic AI with the GlassFrog MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GlassFrog integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your GlassFrog connection logic from agent behavior for testable, maintainable code

GlassFrog + Pydantic AI Use Cases

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

Type-safe data pipelines: query GlassFrog with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple GlassFrog tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query GlassFrog and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock GlassFrog responses and write comprehensive agent tests

GlassFrog MCP Tools for Pydantic AI (12)

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

create_new_project

Add a project

find_member_by_email

Search member

get_circle_summary

Get circle overview

list_checklist_items

List checklists

list_circle_metrics

List metrics

list_circle_policies

List policies

list_holacracy_circles

List all circles

list_holacracy_roles

List role definitions

list_org_members

List people

list_role_assignments

List assignments

list_tactical_projects

List all projects

verify_api_connection

Check connection

Example Prompts for GlassFrog in Pydantic AI

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

"List all active circles in my organization."

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

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

Troubleshooting GlassFrog MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GlassFrog + Pydantic AI FAQ

Common questions about integrating GlassFrog MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your GlassFrog MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.