How to Use the Typefully MCP in LangChain
Build content pipelines with LangChain: Automate your Typefully publishing flow.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Typefully MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 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
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Typefully MCP today
We host it, we monitor it, we maintain it. You just paste one token.