Forj MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Forj through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Forj Assistant",
instructions=(
"You help users interact with Forj. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Forj"
)
print(result.final_output)
asyncio.run(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 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.
The OpenAI Agents SDK auto-discovers all 12 tools from Forj through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Forj, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Forj MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Forj
Why Use OpenAI Agents SDK with the Forj MCP Server
OpenAI Agents SDK provides unique advantages when paired with Forj through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Forj + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Forj MCP Server delivers measurable value.
Automated workflows: build agents that query Forj, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Forj, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Forj tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Forj to resolve tickets, look up records, and update statuses without human intervention
Forj MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Forj to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Forj to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Forj + OpenAI Agents SDK FAQ
Common questions about integrating Forj MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Forj 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 Forj to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.