Dumpling AI MCP Server

Created By
MCP-Mirrora year ago
Mirror of
Overview

What is Dumpling AI MCP Server?

Dumpling AI MCP Server is a Model Context Protocol (MCP) server that integrates with Dumpling AI, providing capabilities for data scraping, content processing, knowledge management, AI agents, and code execution.

How to use Dumpling AI MCP Server?

To use the Dumpling AI MCP Server, you can install it via Smithery or run it using npx with your Dumpling API key. Configuration is required for specific environments like Cursor.

Key features of Dumpling AI MCP Server?

  • Complete integration with Dumpling AI API endpoints.
  • Data APIs for YouTube transcripts, web searches, and more.
  • Web scraping capabilities including crawling and structured data extraction.
  • Document conversion tools for various formats.
  • AI functionalities including agent completions and knowledge base management.
  • Developer tools for executing JavaScript and Python code securely.

Use cases of Dumpling AI MCP Server?

  1. Extracting transcripts from YouTube videos.
  2. Performing web searches and scraping content.
  3. Converting documents and extracting data from various media formats.
  4. Running AI models for generating content or managing knowledge bases.

FAQ from Dumpling AI MCP Server?

  • Is Dumpling AI MCP Server free to use?

Yes, Dumpling AI MCP Server is free to use.

  • What programming languages does it support?

It supports JavaScript and Python for code execution.

  • How can I handle errors?

The server provides detailed error messages and robust error handling for various scenarios.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
MCP-Mirror
Star
0
Language
-
License
MIT license

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago
Crevio

2 days ago