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.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Medium, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Medium + Gemini
Publish posts to Medium (your own profile or a publication) from any AI agent. 5 tools, integration-token Bearer auth.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
MEDIUM_INTEGRATION_TOKEN
Paso 1 — Obtener credenciales
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)
Paso 2 — Instalar el adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Paso 3 — Añadir el conector en Gemini
Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —Mediumdebería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| 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
¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.
Siguientes pasos
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