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Summary
Publish posts to Medium (your own profile or a publication) from any AI agent. 5 tools, integration-token Bearer auth.
Try asking
Example prompts for Medium
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Medium, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Medium + Gemini
Publish posts to Medium (your own profile or a publication) from any AI agent. 5 tools, integration-token Bearer auth.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
MEDIUM_INTEGRATION_TOKEN
Step 1 — Get credentials
Important — limited write API: Medium's public API is write-mostly for the user that owns the integration token. There's no public read API for posts (Medium walked back most read endpoints in 2019). Use RSS or scraping for reads.
Setup:
- Sign in to https://medium.com → top-right avatar → Settings → Security and apps → Integration tokens → New integration token.
- Name it ('AnythingMCP'). Copy the token.
- Set
MEDIUM_INTEGRATION_TOKEN.
Authentication: Authorization: Bearer ${MEDIUM_INTEGRATION_TOKEN}.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Gemini
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —Mediumshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_IDto thetoolsarray of your request with the sameX-API-Keyheader.
Available tools
| Tool | What it does |
|---|---|
medium_me | Return the authenticated user: id, username, name, url, imageUrl |
medium_list_user_publications | List publications the user contributes to |
medium_get_publication_contributors | List contributors of a publication |
medium_create_post | Create a post under the user's own profile |
medium_create_post_under_publication | Create a post under a publication |
FAQ
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.
Next steps
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