Can I update a content entry using the agent?

Yes! Use the `update_content_entry` tool with the Model name and Entry ID. You can provide a new `data` JSON string to modify the content fields directly from your workspace.

How do I list all the models defined in my space?

Simply ask the agent to `list_models`. It will retrieve all the content models (like 'page', 'header', 'announcement-bar') configured in your Builder.io account.

Does the integration allow checking API usage limits?

Yes. Use the `get_api_usage` tool. It will retrieve real-time statistics about your API requests, helping you monitor your performance and limits.

Builder.io MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Builder.io
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Builder.io through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "builderio": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Builder.io, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Builder.io MCP Server

Connect your Builder.io account to any AI agent and orchestrate your visual CMS, content management, and digital experience workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Builder.io through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Content Oversight — List and retrieve detailed metadata for all your content entries across different models (Pages, Blog Posts, etc.).
Model Management — List all content models in your space and retrieve detailed schema metadata.
Visual Automation — Create and update content entries programmatically using the Write API directly from your workspace.
Infrastructure Coordination — Access and monitor your spaces, organization settings, and reusable symbols.
Performance Tracking — Retrieve real-time API usage statistics to monitor your CMS performance.
Entry Deep Dives — Get detailed data for specific content or model IDs straight from your workspace.

The Builder.io MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Builder.io to LangChain via MCP

Follow these steps to integrate the Builder.io MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Builder.io via MCP

Why Use LangChain with the Builder.io MCP Server

LangChain provides unique advantages when paired with Builder.io through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Builder.io MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Builder.io queries for multi-turn workflows

Builder.io + LangChain Use Cases

Practical scenarios where LangChain combined with the Builder.io MCP Server delivers measurable value.

RAG with live data: combine Builder.io tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Builder.io, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Builder.io tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Builder.io tool call, measure latency, and optimize your agent's performance

Builder.io MCP Tools for LangChain (10)

These 10 tools become available when you connect Builder.io to LangChain via MCP:

create_content_entry

Create a new content entry

get_api_usage

Retrieve API usage statistics

get_content_entry

Get a specific content entry

get_model

Get details of a specific content model

get_space

Get details of a specific space

list_content

List content entries for a specific model

list_models

List all content models in the space

list_spaces

List all spaces in your organization

list_symbols

List all reusable symbols

update_content_entry

Update an existing content entry

Example Prompts for Builder.io in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Builder.io immediately.

"List all content entries for the 'page' model."

"Show the schema details for the 'blog-post' model."

"Create a new entry in 'announcement-bar' with name 'Promo Banner'."

Troubleshooting Builder.io MCP Server with LangChain

Common issues when connecting Builder.io to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Builder.io + LangChain FAQ

Common questions about integrating Builder.io MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.