Common Room MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Member, Create Webhook, Delete Member, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Common Room as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Common Room app connector for LlamaIndex is a standout in the Collaboration category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Common Room. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Common Room?"
)
print(response)
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 Common Room MCP Server
Connect your Common Room account to any AI agent and take full control of your community orchestration and B2B relationship intelligence through natural conversation.
LlamaIndex agents combine Common Room 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.
What you can do
- Member & Identity Orchestration — List and manage community profiles programmatically, using Person360™ technology to resolve cross-channel identities (Slack, Discord, GitHub, etc.)
- Signal Ingestion — Programmatically ingest custom activity signals from social platforms and internal tools to maintain a high-fidelity record of member interactions
- Audience Segmentation — Access and monitor community segments (Highly Engaged, At Risk, etc.) and tags to understand your community's behavioral health in real-time
- Relationship Intelligence — Retrieve complete directories of community members and manage detailed metadata to perfectly coordinate your go-to-market outreach
- Compliance & Privacy — Execute 'Right to be Forgotten' deletions programmatically and monitor API token status and webhooks directly through your agent
The Common Room 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.
All 12 Common Room tools available for LlamaIndex
When LlamaIndex connects to Common Room through Vinkius, your AI agent gets direct access to every tool listed below — spanning community-intelligence, identity-resolution, signal-processing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new community member
Configure a new webhook
Remove member (GDPR)
Delete a webhook
Get member details
Check API token status
g., Slack post, social interaction) into a members timeline. Report community activity
List community members
g., Highly Engaged, At Risk). List community segments
List community tags
List configured webhooks
Update member profile
Connect Common Room to LlamaIndex via MCP
Follow these steps to wire Common Room into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Common Room MCP Server
LlamaIndex provides unique advantages when paired with Common Room through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Common Room tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Common Room tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Common Room, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Common Room tools were called, what data was returned, and how it influenced the final answer
Common Room + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Common Room MCP Server delivers measurable value.
Hybrid search: combine Common Room real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Common Room 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 Common Room for fresh data
Analytical workflows: chain Common Room queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Common Room in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Common Room immediately.
"List all members in the 'Highly Engaged' segment."
"Get the community profile for 'john@example.com'."
"Report a new Slack activity for member ID 'abc-123'."
Troubleshooting Common Room MCP Server with LlamaIndex
Common issues when connecting Common Room to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCommon Room + LlamaIndex FAQ
Common questions about integrating Common Room MCP Server with LlamaIndex.