How do I get an API Key for Forj?

API Keys can be generated by the Account Owner within the platform settings under the API Access section.

Can I approve pending group requests via the agent?

You can use the 'list_pending_requests' tool to identify members awaiting approval. Support for direct approval via API depends on your plan.

Is member activity tracked in real-time?

Yes, the 'get_user_activity' tool retrieves the most recent log of interactions and group actions for a specific member.

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

Name: Forj
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 Forj 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 Forj "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())

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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 Forj MCP Server

Connect your Forj (formerly Mobilize) account to any AI agent to automate your community management and member engagement through the Model Context Protocol (MCP). Forj provides a powerful platform for organizing professional communities into groups, tracking member activity, and facilitating seamless synchronization with external CRMs. This MCP server enables you to manage your groups, search for members, and oversee community interactions directly through natural conversation.

Pydantic AI validates every Forj 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

Member Discovery — Search for community members by name or keywords, and find specific users instantly by their email address.
Group Management — List all organizational groups, create new groups, and fetch detailed metadata for specific community segments.
Membership Control — Assign existing members to specific groups and monitor pending membership requests awaiting approval.
Engagement Insights — Retrieve detailed activity logs for specific members to understand their level of participation and interactions.
Invitation Tracking — Monitor sent and pending community invitations to maintain a healthy growth pipeline.
System Monitoring — Access account metadata and list active webhooks used for real-time community data synchronization.

The Forj 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 Forj to Pydantic AI via MCP

Follow these steps to integrate the Forj 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 Forj with type-safe schemas

Why Use Pydantic AI with the Forj MCP Server

Pydantic AI provides unique advantages when paired with Forj 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 Forj integration code

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

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

Forj + Pydantic AI Use Cases

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

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

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

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

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

Forj MCP Tools for Pydantic AI (12)

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

add_user_to_group

Add member to group

create_group

Create a new group

find_user

Find user by email

get_account_details

Get community account info

get_group

Get group details

get_user_activity

Get member activity log

list_group_members

List members in a group

list_groups

List community groups

list_invitations

List sent invitations

list_pending_requests

List group join requests

list_webhooks

List active webhooks

search_users

Search community members

Example Prompts for Forj in Pydantic AI

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

"List all groups in my Forj community."

"Find the member profile for 'jane.doe@example.com'."

"Show me recent activity for user ID 'user_123'."

Troubleshooting Forj MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Forj + Pydantic AI FAQ

Common questions about integrating Forj 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 Forj MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.