How to Use the Liveblocks (Collaborative) MCP in Pydantic AI

Q: How do I add Liveblocks (Collaborative) to a Pydantic AI agent?

Install pydantic-ai-slimmcp and instantiate an MCPToolset with your HTTP MCP Server URL. Pass this toolset to your Agent constructor. The agent will auto-discover and validate all 19 tools exposed by the server.

Q: Does this setup support binary Yjs document synchronization?

Yes. Your agent can exchange binary updates using updateydoc and getydoc. The framework ensures the binary payloads are correctly handled and validated during the transfer.

Ensure type-safe real-time state synchronization with Pydantic AI and Liveblocks.

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Connect Liveblocks (Collaborative) MCP to Pydantic AI

Create your Vinkius account to connect Liveblocks (Collaborative) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Liveblocks (Collaborative) with Pydantic AI

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Validate real-time document state with this MCP Server.

This MCP Server integrates with Pydantic AI to enforce strict schema validation on your collaborative Liveblocks document structures via `get_storage`. When your Pydantic AI agent calls `get_storage`, the returned Liveblocks JSON is validated against your Pydantic models before your code processes it. If a user or another agent introduces structural changes that violate your schema, the Pydantic AI validation layer fails loudly.

Type-safe user presence and room management.

The `set_presence` and `list_active_users` tools allow your Pydantic AI agent to track Liveblocks user states with absolute type safety. Pydantic AI parses the ephemeral presence payloads, ensuring coordinates and user metadata match your expected types in Liveblocks. When creating new collaborative environments, the Pydantic AI agent uses `create_room` and `update_room` with strict parameter validation.

Parse collaborative threads without silent failures.

The `list_threads` and `create_thread` tools let your Pydantic AI agent manage Liveblocks comment threads while maintaining strict data integrity. Every Liveblocks comment and thread object returned by the server is parsed into strongly-typed Pydantic AI models. Your Pydantic AI agent can confidently process user feedback and call `resolve_thread` when tasks are complete.

Setup guide

Set up Liveblocks (Collaborative) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "liveblocks-collaborative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Liveblocks (Collaborative) tools.",
)

result = await agent.run("List recent Liveblocks (Collaborative) transactions")
print(result.output)

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Common questions about Liveblocks (Collaborative) MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and instantiate an `MCPToolset` with your HTTP MCP Server URL. Pass this toolset to your `Agent` constructor. The agent will auto-discover and validate all 19 tools exposed by the server.

Pydantic AI will raise a validation error at runtime. This prevents your agent from processing hallucinated fields or malformed JSON payloads returned by tools like `get_ydoc` or `get_storage`.

Yes. You can configure your toolset to expose only a subset of tools, such as `broadcast_event` and `set_presence`, ensuring your agent cannot modify administrative settings like `delete_room`.

Yes. Your agent can exchange binary updates using `update_ydoc` and `get_ydoc`. The framework ensures the binary payloads are correctly handled and validated during the transfer.

The server processes user authorization tokens, room metadata, and collaborative thread comments. All data runs through Vinkius's ephemeral V8 Isolate sandbox, ensuring that your collaborative state is never cached or exposed to external environments.

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