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Summary
Manage Buffer (social media scheduling: organizations, channels, posts, ideas) from any AI agent via Buffer's GraphQL API. 9 tools, API key.
Try asking
Example prompts for Buffer
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 → Buffer, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Buffer + Gemini
Manage Buffer (social media scheduling: organizations, channels, posts, ideas) from any AI agent via Buffer's GraphQL API. 9 tools, API key.
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:
BUFFER_ACCESS_TOKEN
Step 1 — Get credentials
This connector wraps Buffer's public GraphQL API at https://api.buffer.com (docs: https://developers.buffer.com). It replaces the legacy api.bufferapp.com REST API; Buffer's API is available on every plan, including Free.
Setup:
- Sign in to Buffer and open Settings → API (https://publish.buffer.com/settings/api).
- Click Generate API Key (Personal Access tab). Free accounts can hold one key, paid plans up to five.
- Paste the key into
BUFFER_ACCESS_TOKEN. It is sent asAuthorization: Bearer <key>and acts as your own account: every organization and channel you can see in Buffer, with no per-organization scoping.
…(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 —Buffershould 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 |
|---|---|
buffer_current_user | Return the authenticated Buffer account (id, email, name, timezone) with the organizations it belongs to |
buffer_list_channels | List the connected social channels (X/Twitter, LinkedIn, Instagram, Facebook, Mastodon, Bluesky, Threads, TikTok, Pinterest, YouTube, …) of… |
buffer_list_posts | List posts of an organization, newest page first, optionally filtered by channel IDs and status |
buffer_create_post | Create a post on ONE channel: add it to the queue, schedule it for a time, publish it now, or save it as a draft |
buffer_update_post | Edit a post that has not been sent yet: text, schedule, media or tags |
buffer_delete_post | Delete a post by ID |
buffer_send_now | Publish a queued or scheduled post immediately instead of at its slot |
buffer_list_ideas | List the ideas (content not yet assigned to a channel) of an organization |
buffer_create_idea | Save an idea in an organization: content you want to publish later, not yet tied to a channel or a time |
buffer_graphql_schema_url | Return the URL of the GraphQL schema (SDL) |
buffer_graphql_schema | Fetch the GraphQL schema: a summary, one type, a search slice or the full SDL |
buffer_graphql_query | Run an arbitrary GraphQL query |
buffer_graphql_mutation | Run an arbitrary GraphQL mutation |
buffer_graphql_subscription | Run an arbitrary GraphQL subscription (if the API supports it) |
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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