MCP server
MCP Automations
io.github.wzltmp/mcp-automations
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Summarize URLs, repurpose content, daily news digests, find competitors. Cost telemetry built in.
Working at last checkAbout 377 tokens per request once connected4 tools
https://mcp-automations.fly.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 377 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http mcp-automations https://mcp-automations.fly.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.mcp-automations] url = "https://mcp-automations.fly.dev/mcp"
Gemini CLI
{"mcpServers":{"mcp-automations":{"httpUrl":"https://mcp-automations.fly.dev/mcp"}}}
Cursor
{"mcpServers":{"mcp-automations":{"url":"https://mcp-automations.fly.dev/mcp"}}}
VS Code
{"servers":{"mcp-automations":{"type":"http","url":"https://mcp-automations.fly.dev/mcp"}}}
Antigravity
agy mcp add mcp-automations https://mcp-automations.fly.dev/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"mcp-automations","server_url":"https://mcp-automations.fly.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"mcp-automations","server_url":"https://mcp-automations.fly.dev/mcp"}
Tools
daily_digest~93 tokens
Search the web for recent news on ``topic`` and return a digest with citations.find_competitors~94 tokens
Identify ``n`` plausible competitors for a company at ``domain`` (e.g., 'stripe.com').repurpose_content~100 tokens
Repurpose long-form text into ``twitter_thread``, ``linkedin_post``, or ``newsletter``.summarize_url~90 tokens
Fetch a URL, extract clean article text, and return an N-bullet summary.
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