pulsemcp scanned Safe content atomic mcp-remote

Baidu Baike

MCP Baike Render provides a server for accessing and rendering content from Baidu Baike, China's largest online encyclopedia. Built with TypeScript and the Model Context Protocol SDK, it enables AI assistants to retrieve and display encyclopedia entries directly within conversations. The implementation uses Axios for API requests and includes environment variable configuration for customization. This tool is particularly valuable for workflows requiring access to Chinese-language reference information without leaving the conversation interface.

Cognium trust score

64%

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: api-integration
Source: PulseMCP
Repository: github.com/zzzccs123/mcp-baike-render
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Baidu Baike 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"