spacefrontiers/mcp

开发工具

本页由 AI 翻译，技术细节请以原文为准。查看原文

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Repository Install

spacefrontiers/mcp 是从 https://github.com/spacefrontiers/mcp. 导入的 MCP 服务器候选

概览

spacefrontiers/mcp 是从 https://github.com/spacefrontiers/mcp. 导入的 MCP 服务器候选

概述（AI 翻译）

Machine Library 的官方 MCP 服务器，该产品由 Space Frontiers Company 开发，是搜索和人工智能产品。

终点： https://mcp.machinelibrary.ai（规范）
服务器名称： machinelibrary;工具前缀为machinelibrary_
代理安装指南： https://machinelibrary.ai/install.md

为AI代理在同行评审的论文、书籍、专利、标准、维基百科、Reddit、Telegram、Discord和YouTube上的检索层。返回有界全文和规范来源URI以供引用。

托管于 **https://mcp.machinelibrary.ai/**（可流式 HTTP 传输，OAuth 2.1，带 PKCE 或承载 API 密钥）。

尝试一个示范示例： 查找研究资料，检查支持段落，并保留引用。包括现场运行中的精确工具调用和观察，以及为研究团队准备的简短评估清单。

工具

以下四个核心检索工具分别为只读、幂等和前缀 machinelibrary_，以避免多服务器代理设置中的碰撞。本仓库实现了这些工具。

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

Machine Library MCP Server

Official MCP server for Machine Library, the search and AI product by Space Frontiers Company.

Endpoint: https://mcp.machinelibrary.ai (canonical)
Server name: machinelibrary; tools are prefixed machinelibrary_
Agent install guide: https://machinelibrary.ai/install.md

A retrieval layer for AI agents over peer-reviewed papers, books, patents, standards, Wikipedia, Reddit, Telegram, Discord, and YouTube. Returns bounded full text and canonical source URIs for citation.

Hosted at https://mcp.machinelibrary.ai/ (Streamable HTTP transport, OAuth 2.1 with PKCE or Bearer API key).

Try a worked example: Find research, inspect supporting passages, and retain citations. Includes exact tool calls and observations from a live run, plus a small evaluation checklist for research teams.

Tools

The four core retrieval tools below are read-only, idempotent, and prefixed machinelibrary_ to avoid collisions in multi-server agent setups. This repository implements them. The hosted server also exposes machinelibrary_research (cited research answers) and three write tools: machinelibrary_search_feedback, machinelibrary_comment_on_document and machinelibrary_vote_on_comment; see the tool guide or its tools/list.

Tool	When to use
`machinelibrary_search_documents`	Papers, books, patents, standards, Wikipedia, YouTube transcripts. Use for citations and prior art.
`machinelibrary_search_social`	Reddit, Telegram channels, Discord. Use for news and community discussion.
`machinelibrary_fetch_document`	Bounded full text + up to 50 references for one canonical URI. Defaults to 40K characters; supports up to 100K.
`machinelibrary_search_in_document`	Up to five matching passages within one document. Use for documents over ~20K tokens.

Search defaults to 10 compact, hybrid-ranked results and is capped at 30. Every hit includes a canonical source_uri, one snippet (up to 900 characters), an abstract preview (up to 800 characters), score, authors, date, type, and estimated full-text size. Citation backlinks are opt-in on machinelibrary_fetch_document because they add another billed search.

Install

The hosted server has its own /mcp install page with one-click links for Cursor, VS Code, and Smithery.

Claude Code (recommended)

claude mcp add --transport http --scope user machinelibrary https://mcp.machinelibrary.ai

On first use a browser opens for OAuth login — no API key paste required.

Cursor / VS Code / Cline / Windsurf (HTTP)

{
  "mcpServers": {
    "machinelibrary": {
      "type": "http",

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "machinelibrary": {
      "type": "http",
      "url": "https://mcp.machinelibrary.ai",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}