Crafter CMS MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Crafter CMS through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"crafter-cms": {
"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 Crafter CMS, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Crafter CMS MCP Server
Connect your Crafter CMS instance to any AI agent and take full control of your enterprise headless CMS and Git-based content workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Crafter CMS 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
- GraphQL Orchestration — Execute absolute explicit nesting requirements against the delivery schema using raw GraphQL payloads natively
- Studio Tree Navigation — Perform structural extraction of properties driving active Git hierarchies and trace nested XML structures safely
- Git-Based Content Writing — Provision highly-available XML payloads to write physical Git boundaries and generate new pages or components
- Live Publishing — Trigger automated workflow bounds to migrate changes from Crafter Studio onto the high-performance Delivery Engine
- Elasticsearch Discovery — Inspect deep internal arrays leveraging integrated Elasticsearch to perform full-text queries spanning all content nodes
- Platform Governance — Identify precise active arrays spanning rented Context domains and list configured sites and studio users securely
- Environment Audit — Discovered disconnected physical limits fetching site configurations and global variables tied to your frontend SDKs
The Crafter CMS 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 Crafter CMS to LangChain via MCP
Follow these steps to integrate the Crafter CMS 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 Crafter CMS via MCP
Why Use LangChain with the Crafter CMS MCP Server
LangChain provides unique advantages when paired with Crafter CMS through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Crafter CMS 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 Crafter CMS queries for multi-turn workflows
Crafter CMS + LangChain Use Cases
Practical scenarios where LangChain combined with the Crafter CMS MCP Server delivers measurable value.
RAG with live data: combine Crafter CMS tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Crafter CMS, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Crafter CMS tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Crafter CMS tool call, measure latency, and optimize your agent's performance
Crafter CMS MCP Tools for LangChain (10)
These 10 tools become available when you connect Crafter CMS to LangChain via MCP:
execute_graphql_payload
Identify bounded routing spaces inside the Headless Crafter Engine
get_site_config
json` isolating GraphQL URL limits. Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
get_site_globals
Enumerate explicitly attached structured rules exporting active Configuration
get_studio_tree
json` identifying exact folders tracing nested XML structures safely. Perform structural extraction of properties driving active Git hierarchies
list_platform_sites
Identify precise active arrays spanning rented Context domains
list_studio_users
Retrieve the exact structural matching verifying Blueprint constraints
publish_crafter_content
json` executing workflow bounds migrating a Studio change onto the Delivery Engine live endpoint. Dispatch an automated validation check routing explicit Deployments
search_crafter_delivery
Inspect deep internal arrays mitigating specific Picture constraints
wipe_studio_xml
Irreversibly vaporize explicit App nodes dropping live Database bytes
write_studio_xml
json` generating pages. Provision a highly-available XML Payload generating new Content nodes
Example Prompts for Crafter CMS in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Crafter CMS immediately.
"List all sites in my Crafter CMS deployment"
"Execute GraphQL query on site 'corporate': '{ articles { items { title_s } } }'"
"Show me the Git tree for site 'marketing' at path '/site/website/landing-pages'"
Troubleshooting Crafter CMS MCP Server with LangChain
Common issues when connecting Crafter CMS to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCrafter CMS + LangChain FAQ
Common questions about integrating Crafter CMS MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Crafter CMS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Crafter CMS to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.