Craft (Docs & Notes) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Craft (Docs & Notes) through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"craft-docs-notes": {
"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 Craft (Docs & Notes), 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 Craft (Docs & Notes) MCP Server
Connect your Craft.do account to any AI agent and take full control of your premium writing experience and collaborative workspace through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Craft (Docs & Notes) through native MCP adapters. Connect 10 tools via the 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
- Document Navigation — List and search all documents within your folders to identify specific workspace boundaries and content classifications
- Block-Level Operations — Retrieve detailed Block trees and append new structural elements (headings, lists, code, checklists) to any existing Page
- Agile Document Creation — Provision new highly-available Documents with specific Markdown content and titles natively from your chat
- Daily Note Management — Fetch temporal records and intricate networking mappings from your Calendar to audit daily journals and tasks
- Task & Checklist Tracking — Extract comprehensive mapped checklists across your workspace to monitor active progress and pending items
- Content Mutation — Safely substitute explicit Document values by patching Block trees and overwriting content limits through the REST API
The Craft (Docs & Notes) 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 Craft (Docs & Notes) to LangChain via MCP
Follow these steps to integrate the Craft (Docs & Notes) 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 Craft (Docs & Notes) via MCP
Why Use LangChain with the Craft (Docs & Notes) MCP Server
LangChain provides unique advantages when paired with Craft (Docs & Notes) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Craft (Docs & Notes) 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 Craft (Docs & Notes) queries for multi-turn workflows
Craft (Docs & Notes) + LangChain Use Cases
Practical scenarios where LangChain combined with the Craft (Docs & Notes) MCP Server delivers measurable value.
RAG with live data: combine Craft (Docs & Notes) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Craft (Docs & Notes), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Craft (Docs & Notes) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Craft (Docs & Notes) tool call, measure latency, and optimize your agent's performance
Craft (Docs & Notes) MCP Tools for LangChain (10)
These 10 tools become available when you connect Craft (Docs & Notes) to LangChain via MCP:
append_block
Perform structural injection of properties driving new Blocks
create_document
Provision a highly-available JSON Payload generating new Document rows
delete_document
Irreversibly vaporize explicit App nodes dropping live Document rows
get_daily_note
Retrieve elaborate explicit mapping properties limiting Daily Pages
get_document
Retrieve explicit UX logging tracing explicit Document IDs limitlessly
list_blocks
Enumerate explicitly attached structured rules exporting active Blocks
list_documents
Identify bounded routing spaces inside the Craft workspace
list_tasks
Gather comprehensive mapped checklists limiting cross-workspace Tasks
search_documents
Execute static listing mapping structural Text queries via Search
update_document
Mutate global Web Context boundaries substituting explicit Document values
Example Prompts for Craft (Docs & Notes) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Craft (Docs & Notes) immediately.
"List all my documents in Craft"
"Add a checklist item to document 'doc_123': 'Review API security'"
"What's in my daily note for today?"
Troubleshooting Craft (Docs & Notes) MCP Server with LangChain
Common issues when connecting Craft (Docs & Notes) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCraft (Docs & Notes) + LangChain FAQ
Common questions about integrating Craft (Docs & Notes) 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 Craft (Docs & Notes) 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 Craft (Docs & Notes) to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.