Bangumi TV

v1.0.0Search & Data Extractionstable

MCP server for bangumi tv

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What is Bangumi TV?

Bangumi TV is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for bangumi tv

MCP server for bangumi tv

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for bangumi tv

Use Cases

Search anime, manga, and entertainment content.
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y bangumi-tv

Manual Installation

npx -y bangumi-tv

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Bangumi TV

What is Bangumi TV?

Bangumi TV is a Model Context Protocol (MCP) server that mcp server for bangumi tv It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Bangumi TV?

Install via npm with the command: npx -y bangumi-tv. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Bangumi TV?

Bangumi TV works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Bangumi TV free to use?

Yes, Bangumi TV is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "bangumi-tv": { "command": "npx", "args": ["-y", "bangumi-tv"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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