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How to Use the Typefully MCP in LangChain

Build content pipelines with LangChain: Automate your Typefully publishing flow.

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Works with every AI agent you already use

…and any MCP-compatible client

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LangChain

Connect Typefully MCP to LangChain

Create your Vinkius account to connect Typefully to LangChain 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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Manage Content Status via MCP Server

The `list_drafts` tool lets you see all the content drafts you've created. You can then use `get_draft_details` to pull specific info on any draft, checking things like its current status or word count. This capability makes it easy for your agent chain to know exactly what needs fixing before sending it off. It keeps track of everything so the next step knows where to look.

Publishing Content with LangChain

If you're ready to go, `publish_immediately` sends your content live right now. Alternatively, if you need time, `schedule_content` lets the agent set a future date and time for posting. This controls the final step of any chain—it gets the content out there when it’s supposed to be out. It handles both instant blasts and planned releases.

Getting Account Info with LangChain

You can use `list_social_accounts` to get a list of all your connected social accounts. This tells the agent exactly where it has permission to post. It also lets you run `get_user_profile`, pulling key details about your Typefully account. The chain uses this data to ensure the output matches your brand voice.

Setup guide

Set up Typefully MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Typefully tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

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

async with MultiServerMCPClient({
    "typefully-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Typefully transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Typefully. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Typefully MCP in LangChain

You call `list_drafts` first. It gives you a list of content IDs, which the agent can then feed into `get_draft_details`. You'll know exactly what status that draft is in.
Yeah, definitely. Use the `schedule_content` tool. It takes all the necessary text and just needs a target date/time to get it locked down for later publishing.
The agent can pull your profile details with `get_user_profile`, and you can see all linked platforms by running `list_social_accounts`.
Yes, it does. You've got two options: `publish_immediately` for instant posting, or you can use `schedule_content` if you want to time it perfectly.
This MCP Server touches Draft content details and User Profile information. The agent handles the creation, reading, updating, and deleting of draft records.

Start using the Typefully MCP today

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Built & Managed by Vinkius 30s setup 9 tools

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