How do I find my Handwrytten API Key?

Log in to your Handwrytten dashboard, go to **Settings**, and then to the **API Keys** section. You can generate a new key or copy your existing one from there.

Can I use realistic handwriting fonts?

Yes! Handwrytten uses robots with real pens. You can list all available styles using the `list_fonts` tool and specify the `font_id` when sending a card.

How do I check if my card was sent?

Use the `list_orders` tool to see your history of sent cards or `get_order` with a specific order ID to check its current fulfillment status.

Is it possible to include gifts with the cards?

Yes, Handwrytten offers various gifts. You can list available items using the `list_gifts` tool and include the gift ID in your order request.

Handwrytten MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Handwrytten
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 Handwrytten 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({
        "handwrytten": {
            "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 Handwrytten, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Handwrytten MCP Server

Connect your Handwrytten account to any AI agent and take full control of your physical outreach and relationship management through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Handwrytten 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

Card Selection — Browse and list all available stationery and card categories for any occasion.
Font Management — List and select from various realistic handwriting styles to personalize your notes.
Order Automation — Send single or bulk handwritten cards with personalized messages directly from the chat.
Address Book Access — Manage your saved recipients and retrieve address details for quick sending.
Credit Monitoring — Instantly check your account credit balance to manage your outreach budget.
Template Insights — Browse your message templates to maintain brand consistency in your physical mail.

The Handwrytten 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 Handwrytten to LangChain via MCP

Follow these steps to integrate the Handwrytten 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 Handwrytten via MCP

Why Use LangChain with the Handwrytten MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Handwrytten 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 Handwrytten queries for multi-turn workflows

Handwrytten + LangChain Use Cases

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

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

Autonomous research agents: LangChain agents query Handwrytten, synthesize findings, and generate comprehensive research reports

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

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

Handwrytten MCP Tools for LangChain (10)

These 10 tools become available when you connect Handwrytten to LangChain via MCP:

get_credit_balance

Check current account credit balance

get_order

Get details for a specific order

list_address_book

List recipients in your address book

list_cards

List all available cards/stationery

list_categories

List all card categories

list_fonts

List all available handwriting fonts

list_gifts

List available gifts that can be included with cards

list_orders

List history of card orders

list_templates

List message templates

send_card

Requires card_id, font_id, message, and recipient details. Send a single handwritten card

Example Prompts for Handwrytten in LangChain

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

"Send a 'Thank You' card to John Doe using font hwDavid."

"Check my current credit balance."

"List all available handwriting fonts."

Troubleshooting Handwrytten MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Handwrytten + LangChain FAQ

Common questions about integrating Handwrytten 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.