No install? Use cloud.anythingmcp.com directly.
Sign in, install the Medium in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Publish posts to Medium (your own profile or a publication) from any AI agent. 5 tools, integration-token Bearer auth.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Medium klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Medium + Gemini
Publish posts to Medium (your own profile or a publication) from any AI agent. 5 tools, integration-token Bearer auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
MEDIUM_INTEGRATION_TOKEN
Schritt 1 — Zugangsdaten holen
com/Medium/medium-api-docs).
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)
Schritt 2 — Adapter installieren
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Schritt 3 — Connector in Gemini hinzufügen
Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —Mediumsollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare 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
Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.
Nächste Schritte
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