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Summary
Read & post on Bluesky (the AT Protocol social network) from any AI agent. 9 tools, app-password auth.
Try asking
Example prompts for Bluesky
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 → Bluesky, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
Bluesky + Gemini
Read & post on Bluesky (the AT Protocol social network) from any AI agent. 9 tools, app-password 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:
BLUESKY_HANDLE, BLUESKY_APP_PASSWORD
Step 1 — Get credentials
This connector wraps the Bluesky AT Protocol XRPC API (bsky.social).
Setup:
- In the Bluesky app or web client → Settings → Privacy and Security → App Passwords → Add App Password.
- Name it (e.g. 'mcp') and copy the generated
xxxx-xxxx-xxxx-xxxxpassword. App passwords scope down what they can do — never use your account password. - Set
BLUESKY_HANDLE(e.g.you.bsky.social) andBLUESKY_APP_PASSWORD.
…(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 —Blueskyshould 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 |
|---|---|
bluesky_create_session | Exchange handle + app password for an access JWT (lasts ~2h) and refresh JWT |
bluesky_refresh_session | Refresh an access JWT using the refresh JWT |
bluesky_resolve_handle | Resolve a Bluesky handle (e |
bluesky_get_profile | Get a user's public profile: handle, did, displayName, description, followers, follows, posts count, avatar URL |
bluesky_get_timeline | Get the authenticated user's home timeline (chronological feed of follows) |
bluesky_get_author_feed | Get posts by a specific user (their public feed) |
bluesky_search_posts | Full-text search across public posts |
bluesky_create_post | Post a new skeet |
bluesky_delete_post | Delete one of your own posts by its rkey (record key, the last segment of the at:// URI) |
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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