How do I get my Substack API token?

Log in to your Substack publication at **yourdomain.substack.com**. Navigate to **Settings** from the left sidebar. Look for the **Publication API** or **Developer** section. Generate an API token and copy it. Paste it into the configuration field below. Note: Substack's API is currently in limited availability — check Substack's developer page for the latest access information.

Can I draft and schedule newsletter posts?

Yes. Your AI agent can create draft posts with title, body content, subtitle, and metadata. You can then schedule them for a specific date and time — managing your entire editorial calendar conversationally.

Can I track how many subscribers I gained this month?

Yes. Ask your AI agent for subscriber growth metrics and get total subscribers, new subscribers this month, churn rate, and free vs. paid subscriber breakdown.

Does this work with paid Substack publications?

Yes. The integration supports both free and paid publications. You can manage paywalled content, check paid subscriber counts, and analyze revenue metrics through your AI agent.

Substack MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: Substack
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Substack through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 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 Substack "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Substack?"
    )
    print(result.data)

asyncio.run(main())

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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 Substack MCP Server

Connect Substack to your AI agent and manage your newsletter publication conversationally.

Pydantic AI validates every Substack tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

Post Management — List, create, and manage newsletter posts including drafts, published, and scheduled content.
Subscriber Insights — Query subscriber counts, growth trends, and audience demographics.
Publication Settings — Access and modify publication metadata, categories, and custom domains.
Content Analytics — Track open rates, click rates, and engagement metrics per post.

The Substack MCP Server exposes 6 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.

How to Connect Substack to Pydantic AI via MCP

Follow these steps to integrate the Substack MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from Substack with type-safe schemas

Why Use Pydantic AI with the Substack MCP Server

Pydantic AI provides unique advantages when paired with Substack 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 Substack integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Substack connection logic from agent behavior for testable, maintainable code

Substack + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Substack MCP Server delivers measurable value.

Type-safe data pipelines: query Substack with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Substack tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Substack and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Substack responses and write comprehensive agent tests

Substack MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Substack to Pydantic AI via MCP:

get_leaderboard

Get leaderboard

get_post

Get post

get_post_stats

Get post stats

get_publication_info

Get publication info

list_posts

List recent posts

list_subscribers

List subscribers

Example Prompts for Substack in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Substack immediately.

"How many subscribers does my Substack have?"

"Draft a new newsletter post titled 'The Future of AI in Sales'."

"What was the open rate on my last newsletter?"

Troubleshooting Substack MCP Server with Pydantic AI

Common issues when connecting Substack to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Substack + Pydantic AI FAQ

Common questions about integrating Substack MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Substack MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.