Liveblocks MCP Server for LlamaIndexGive LlamaIndex instant access to 18 tools to Authorize User, Broadcast Event, Create Room, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Liveblocks 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 MCP Server for LlamaIndex
The Liveblocks MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 18 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 Liveblocks. "
"You have 18 tools available."
),
)
response = await agent.run(
"What tools are available in Liveblocks?"
)
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 Liveblocks MCP Server
Connect your Liveblocks account to any AI agent to orchestrate multiplayer experiences and real-time collaboration features through natural language.
LlamaIndex agents combine Liveblocks tool responses with indexed documents for comprehensive, grounded answers. Connect 18 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
- Room Management — List, create, update, and delete rooms to manage your application's collaborative spaces.
- User Authentication — Generate access tokens and identify users with specific permissions using
authorize_userandidentify_user. - Collaborative Storage — Inspect and patch room storage state or manage Yjs documents for shared editing.
- Comments & Threads — Query, create, and resolve comment threads to keep track of team discussions within rooms.
- Real-time Presence — List active users in a room or broadcast custom events to connected clients.
The Liveblocks MCP Server exposes 18 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 18 Liveblocks tools available for LlamaIndex
When LlamaIndex connects to Liveblocks through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-collaboration, room-management, user-presence, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Authorize user on Liveblocks
Obtain an access token for a client to enter a room
Broadcast event on Liveblocks
Broadcast a JSON event to a room
Create room on Liveblocks
Create a new room
Create thread on Liveblocks
Create a thread and the first comment
Delete room on Liveblocks
Delete a room
Get room on Liveblocks
Retrieve room details
Get storage on Liveblocks
Get the room's Storage tree
Get thread on Liveblocks
Get a specific thread
Get ydoc on Liveblocks
Get a JSON representation of the Yjs document
Identify user on Liveblocks
Permissions are managed on the backend. Obtain an ID token for a client
Initialize storage on Liveblocks
Initialize or reinitialize Storage
List active users on Liveblocks
List users currently in the room
List rooms on Liveblocks
Can be filtered by metadata or access. List rooms with filtering and pagination
List threads on Liveblocks
List threads in a room
Patch storage on Liveblocks
Apply JSON Patch operations to Storage
Resolve thread on Liveblocks
Resolve a thread
Update room on Liveblocks
Update room properties
Update ydoc on Liveblocks
Send a binary Yjs update
Connect Liveblocks to LlamaIndex via MCP
Follow these steps to wire Liveblocks into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind 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 Liveblocks MCP Server
LlamaIndex provides unique advantages when paired with Liveblocks through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Liveblocks tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Liveblocks tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Liveblocks, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Liveblocks tools were called, what data was returned, and how it influenced the final answer
Liveblocks + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Liveblocks MCP Server delivers measurable value.
Hybrid search: combine Liveblocks real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Liveblocks 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 Liveblocks for fresh data
Analytical workflows: chain Liveblocks queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Liveblocks in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Liveblocks immediately.
"List the first 10 rooms in my Liveblocks project."
"Create a new room with ID 'sprint-planning' and set default access to room:write."
"Who is currently active in the room 'main-editor'?"
Troubleshooting Liveblocks MCP Server with LlamaIndex
Common issues when connecting Liveblocks to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLiveblocks + LlamaIndex FAQ
Common questions about integrating Liveblocks MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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