Typefully MCP Server for Pydantic AIGive Pydantic AI instant access to 9 tools to Create Draft, Delete Draft, Get Draft Details, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Typefully through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Typefully app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Typefully "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Typefully?"
)
print(result.data)
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 Typefully MCP Server
Connect your Typefully account to any AI agent and simplify how you draft, schedule, and publish high-engagement content for X (Twitter) and LinkedIn through natural conversation.
Pydantic AI validates every Typefully tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Draft Management — List all your content drafts and retrieve detailed text and settings for specific ideas.
- Instant Publishing — Post content immediately to all your enabled social platforms directly via AI commands.
- Smart Scheduling — Schedule your posts for a specific time or use the 'next-free-slot' feature to optimize your queue.
- Account Directory — List all connected social sets and brands managed in your Typefully workspace.
- Draft Lifecycle — Create, update, and delete drafts programmatically to maintain your content pipeline.
- User Insights — Retrieve your profile details and verify account configurations directly from the agent.
The Typefully MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 9 Typefully tools available for Pydantic AI
When Pydantic AI connects to Typefully through Vinkius, your AI agent gets direct access to every tool listed below — spanning content-scheduling, social-media-management, threads, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new content draft
Remove a draft
Get details for a draft
Get your Typefully profile
List content drafts
List connected social accounts
Publish content right now
Schedule content for later
Modify an existing draft
Connect Typefully to Pydantic AI via MCP
Follow these steps to wire Typefully into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Typefully MCP Server
Pydantic AI provides unique advantages when paired with Typefully through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Typefully integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Typefully connection logic from agent behavior for testable, maintainable code
Typefully + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Typefully MCP Server delivers measurable value.
Type-safe data pipelines: query Typefully with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Typefully tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Typefully and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Typefully responses and write comprehensive agent tests
Example Prompts for Typefully in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Typefully immediately.
"List all my social accounts in Typefully."
"Publish this to my personal account now: 'Excited to announce our new MCP server! #AI #DevTools'"
"Show me all scheduled drafts for the 'Company News' account."
Troubleshooting Typefully MCP Server with Pydantic AI
Common issues when connecting Typefully to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTypefully + Pydantic AI FAQ
Common questions about integrating Typefully MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.