Medium MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Medium through Vinkius, pass the Edge URL in the `mcps` parameter and every Medium tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Medium Specialist",
goal="Help users interact with Medium effectively",
backstory=(
"You are an expert at leveraging Medium tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Medium "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Medium MCP Server
Connect your Medium account to any AI agent and automate your publishing workflow through natural conversation.
When paired with CrewAI, Medium becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Medium tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Post Creation — Quickly publish public articles or save drafts directly to your Medium account
- Publication Management — List publications you belong to and publish content directly under their brand
- Profile Inspection — Retrieve your unique User ID and profile details for seamless integration
- Contributor Lists — View authorized contributors for publications you manage
The Medium MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 Medium to CrewAI via MCP
Follow these steps to integrate the Medium MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Medium
Why Use CrewAI with the Medium MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Medium through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Medium + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Medium MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Medium for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Medium, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Medium tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Medium against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Medium MCP Tools for CrewAI (10)
These 10 tools become available when you connect Medium to CrewAI via MCP:
create_draft
Create a new draft
create_post
Create a new post for a user
create_public_post
Create a public post
create_publication_post
Create a post under a publication
get_authenticated_user
Get details for the authenticated user
get_my_profile
Get your own profile
get_my_user_id
Get your User ID
list_contributors
List contributors for a publication
list_my_publications
List your own publications
list_publications
List publications for a user
Example Prompts for Medium in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Medium immediately.
"Show my Medium profile and user ID."
"Create a draft titled 'My AI Journey' with content 'This is my first post...'"
"List my publications."
Troubleshooting Medium MCP Server with CrewAI
Common issues when connecting Medium to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Medium + CrewAI FAQ
Common questions about integrating Medium MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Medium with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Medium to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
