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 LlamaIndex 12 tools — connect in under 2 minutes

Name: Forj
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Forj as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Forj. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())

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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.

LlamaIndex agents combine Forj tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Forj MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Forj MCP Server

LlamaIndex provides unique advantages when paired with Forj through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Forj tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Forj tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Forj, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Forj tools were called, what data was returned, and how it influenced the final answer

Forj + LlamaIndex Use Cases

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

Hybrid search: combine Forj real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Forj to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Forj for fresh data

Analytical workflows: chain Forj queries with LlamaIndex's data connectors to build multi-source analytical reports

Forj MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect Forj to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Forj + LlamaIndex FAQ

Common questions about integrating Forj MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.