Connect
Optimize
Secure
Live 5 Actions
Medium MCP Server
for AI Agents
Connect your AI agent to StackOne's Medium MCP server and give it ready-to-use MCP tools out of the box. Auth, tool execution, and security all managed.
Medium MCP Server
Built by 
StackOne
StackOne 
Coverage
5 Agent Actions
Create, read, update, and delete across Medium — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Medium MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Medium tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Medium call.
Tools Discovery →What is the Medium MCP Server?
A Medium MCP server lets AI agents read and write Medium data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Medium MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All Medium MCP Tools
Every action from Medium's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Authenticated Users
- Get Authenticated User
Get the authenticated user's profile
User Publications
- List User Publications
List publications for a user
Publication Contributors
- List Publication Contributors
List contributors for a publication
User Posts
- Create User Post
Create a post on the user's profile
Publication Posts
- Create Publication Post
Create a post under a publication
Set Up Your Medium MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Medium in under 10 lines of code.
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}Check More Documents & Knowledge MCP Servers
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Platform Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
Medium MCP Server FAQ
Does StackOne have a Medium MCP server?
Yes. StackOne offers a hosted Medium MCP server, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
Medium MCP server vs direct API integration — what's the difference?
A Medium MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling Medium. A Medium MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling Medium at runtime. StackOne provides both.
How does Medium authentication work for AI agents?
Medium authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Medium account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are Medium MCP tools vulnerable to prompt injection?
Yes — Medium MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a Medium agent and how do I avoid it?
Context bloat happens when Medium tool schemas and API responses eat your Medium agent's memory, preventing it from reasoning effectively. A single Medium query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my Medium agent can access?
Yes — you can limit which actions your Medium agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my Medium MCP server?
Yes — you can create custom agent actions for your Medium MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Medium's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Medium MCP server?
Skip a Medium MCP server if your integration is purely software-to-software — direct Medium API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call Medium actions at runtime.
What AI frameworks and AI clients does the StackOne Medium MCP server support?
The StackOne Medium MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.