How to Use the Substack MCP in CrewAI

Orchestrate complex Substack strategies using crewai's team agents.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Substack MCP to CrewAI

Create your Vinkius account to connect Substack to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Substack with CrewAI

Ask AI about this MCP

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Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Coordinated Content Analysis

You can assign roles: a 'Researcher Agent' calls `list_posts` to gather titles, and an 'Analyst Agent' then uses those IDs to call `get_post_stats`. This collaboration allows the team to build a full report on content performance without manual stitching. The shared memory keeps all the data flowing between them.

Complex Substack Metadata Gathering

Need a deep dive? One agent calls `get_publication_info` to establish context, while another uses that info to call `get_leaderboard`. This multi-step, role-based execution ensures all necessary data points are gathered sequentially and reliably.

Full Subscriber Team Reporting

The team can handle subscriber management by having one agent run `list_subscribers` to get the raw list. A second specialized agent then processes that list, maybe counting specific segments or checking for patterns in the data.

Setup guide

Set up Substack MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Substack tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Substack Analyst",
    goal="Access and analyze Substack data via MCP.",
    backstory="Expert analyst with direct Substack access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Substack transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Substack Analyst",
        goal="Access and analyze Substack data via MCP.",
        backstory="Expert analyst with direct Substack access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Substack transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Substack. 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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Common questions about Substack MCP in CrewAI

Define roles. Make one agent responsible for getting raw data (like `list_posts`), and a second agent responsible for analyzing that output, like checking stats using `get_post_stats`.

Yes. You can build an entire operational pipeline: Researcher Agent pulls posts; Analyst Agent checks their stats and writes a summary report, all without human intervention.

The framework's shared memory is the key. When one agent gets data—say from `get_publication_info`—it makes that context available for every other agent to use.

It handles subscriber metadata when calling the list tools. You get identifiers, not private correspondence. The MCP Server keeps access restricted to these defined operations.

Definitely. You can simulate a full marketing campaign: Agent 1 gets post data; Agent 2 reviews the leaderboard; Agent 3 compiles the findings into actionable insights.

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