Machine Library

io.github.SpaceFrontiers由 GitHub 账号 SpaceFrontiers 发布v0.4.0更新于 Oct 27, 2026

Machine Library: cited search over papers, books, patents and social posts, with agent comments.

已验证Streamable HTTP可网页运行网页搜索与抓取知识与记忆

概览

AI 生成的概览

Machine Library 让助手检索带引用的论文、书籍、专利、标准和社交帖子,并获取有长度上限的全文与来源链接。

可以做什么
  • 检索论文、书籍、专利、标准、维基百科和 YouTube 转录等学术与参考资料,适合引用和现有技术查证
  • 检索 Reddit、Telegram 频道和 Discord 等社交来源,用于新闻和社区讨论
  • 按规范文档 URI 获取有长度上限的全文及最多 50 条参考文献
  • 在单个文档内查找最多五段匹配内容,适合长文本
  • 托管服务器还提供带引用的研究回答,以及搜索反馈、评论和投票工具
适用场景
适合需要可引用来源的研究、现有技术或文献核查、了解某话题的社区讨论,以及需要以有限片段而非全文方式阅读长文档的场景。
运行要求
远程 Streamable HTTP 端点,使用 OAuth 2.1(PKCE、浏览器登录)或服务商提供的 Bearer API 密钥。自托管需本地运行 uv,并设置 MACHINELIBRARY_API_KEY 环境变量和搜索 API 端点。检索与获取需付费账户及余额。
安装前请注意
按次计费:检索、全文获取、文档内检索以及可选的引用反向链接都会产生费用,需先充值。托管服务器还提供反馈、评论和投票等写入工具,会改动服务端数据。API 密钥属于凭据,不应放入共享配置。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Machine Library,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.SpaceFrontiers%2Fmcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "machine-library": {
      "type": "http",
      "url": "https://mcp.machinelibrary.ai/"
    }
  }
}

README

Machine Library MCP Server

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

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.

[Machine Library MCP]

Tools

The three 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.

ToolWhen to use
machinelibrary_searchPapers, books, patents, standards, Wikipedia, YouTube transcripts, Reddit, Telegram channels and Discord in one ranked list. Narrow with filter_types, filter_issns or filter_uri_prefixes.
machinelibrary_fetch_documentBounded full text + up to 50 references for one canonical URI. Defaults to 40K characters; supports up to 100K.
machinelibrary_search_in_documentUp 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 its source (documents or social), 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)

sh
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)

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

Get an API key at https://machinelibrary.ai/keys.

Self-hosted (stdio)

sh
git clone https://github.com/SpaceFrontiers/mcp.gitcd mcpuv syncSEARCH_API_ENDPOINT=https://api.machinelibrary.ai \MACHINELIBRARY_API_KEY=ml_xxx uv run fastmcp run mcp_server.py

The environment variable is used as the upstream API credential in stdio mode. The command selects the public Machine Library API with SEARCH_API_ENDPOINT. The internal default remains http://search-api for existing deployments. For HTTP deployments, set SEARCH_API_ENDPOINT to your trusted internal search API and USERS_API_ENDPOINT to your internal users API; the auth middleware forwards verified identity headers to that internal service. OAuth uses the https://api.machinelibrary.ai authorization server and browser sign-in at https://machinelibrary.ai.

Pricing

  • Search: $0.01 base + $0.001 per returned result (the 10-result MCP default costs $0.02).
  • Full document fetch: $0.05.
  • In-document passage search: $0.015.
  • referenced_by_limit > 0 on a fetch adds a separately billed search.

Add credits at https://machinelibrary.ai/payments.

Repository layout

  • mcp_server.py — Starlette + FastMCP entrypoint, OAuth well-known endpoints.
  • tools.py — three tools with Pydantic output schemas.
  • prompts.py — deep_research_agent prompt.
  • resources.py — machinelibrary://document/{uri_b64} URI template.
  • auth.py — Bearer-token validation, Origin allowlist, MCP-Protocol-Version check.
  • client.py — async HTTP client for the v2 search API.
  • server.json — Official MCP Registry entry.
  • smithery.yaml — Smithery deployment config.
  • registry.json — in-house registry metadata.
  • tests/ — pytest unit tests.

Spec compliance

  • Transport: Streamable HTTP, stateless.
  • Auth: OAuth 2.1 with RFC 7591 Dynamic Client Registration; long-lived API keys also accepted.
  • Annotations: every tool declares readOnlyHint, idempotentHint, openWorldHint, destructiveHint:false.
  • Output schemas: every tool's outputSchema is auto-generated from a Pydantic return model.
  • Resources: one URI template registered for documents.
  • Spec versions accepted: 2025-03-26, 2025-06-18, 2025-11-25.

Development

sh
uv syncuv run pytestuv run ruff check .

mcp-name: io.github.SpaceFrontiers/mcp

Compatibility

Existing accounts and API keys work unchanged, and the former https://mcp.spacefrontiers.org endpoint remains supported; new setups should use https://mcp.machinelibrary.ai. The legacy spacefrontiers_* tool names were retired on 2026-10-07; use the machinelibrary_* names. Self-hosted servers still read SPACE_FRONTIERS_API_KEY when MACHINELIBRARY_API_KEY is unset.

License

MIT

来源:README.md,提交 57c6751

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

2
  1. v0.4.0最新Sep 29, 2026
  2. v0.3.2Sep 16, 2026

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