pulsemcp scanned Safe content atomic mcp-remote

Bilibili

This Bilibili MCP server by yixiaowang2001 provides integration with the Bilibili video platform through Python-based API interactions. Built with aiohttp for async HTTP operations and featuring Playwright for browser automation capabilities, it includes cookie management tools for authenticated access to Bilibili services and fake user agent support for reliable web scraping. The implementation offers tools for interacting with Bilibili's video content, user data, and platform features, making it valuable for content creators analyzing video metrics, developers building Bilibili-integrated applications, and users who need programmatic access to Bilibili data and functionality within AI-assisted workflows.

Cognium trust score

60%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: browser-automation
Source: PulseMCP
Repository: github.com/yixiaowang2001/bilibili-mcp-server
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve Bilibili from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"