Pith

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://pith.science/mcp

claude mcp add --transport http pith https://pith.science/mcp

{
  "mcpServers": {
    "pith": {
      "url": "https://pith.science/mcp"
    }
  }
}

{
  "servers": {
    "pith": {
      "type": "http",
      "url": "https://pith.science/mcp"
    }
  }
}

https://pith.science/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档，检查于 2026年11月10日。

通过互联网连接，适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月9日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• get_review

  Pith's review of one specific paper, in one call: the verdict, confidence, novelty and correctness scores, one-line summary, weakest assumption, and the paper's argument as short labeled statements (premise, machinery, core claim, falsifier) already extracted, so the paper's prem

• search_papers

  Search Pith-reviewed papers by title and abstract. Call this when the user names a research topic, phenomenon, method, or paper title without an identifier, or asks whether Pith has reviewed anything on a subject. Each result carries the paper's verdict, summary, and review link.

• latest_reviews

  The papers Pith reviewed most recently, newest first. Call this when the user asks what is new, notable, or recently reviewed in a field or overall. days caps how far back to look (max 90).

• analyze_paper_claims

  The structured argument of one specific paper: what it actually asserts, the premises it assumes, the machinery connecting those premises to the claim, and the falsifier, as short labeled statements in argument order (premise, machinery, claim, falsifier). Use this for requests a

• get_claims

  Alias of analyze_paper_claims: the same ledger of what the paper asserts, its premises, machinery, and falsifier, in argument order.

• search_claims

  Full-text search over every scientific claim Pith has extracted, across all reviewed papers. Call this when the user asks who claims something, whether a claim appears in the recent literature, or what evidence bears on a statement. Returns each matching claim with its paper, ver

• get_paper_falsifier

  The falsifier for one specific paper's core claim: the concrete observation, experiment, or computation that would settle or disprove it, plus how many people are watching for that result. Use this when the user asks what would falsify the paper, prove it wrong, test its central

• get_falsifier

  Alias of get_paper_falsifier: the same falsifier and watcher count.

• get_signed_reviews

  Published human signed reviews of one paper: reviewer identity, axis deltas against the machine review, claim verdicts, defects, predictions, and who paid. Call this when the user asks what human experts said about a paper, on top of the machine review.

• get_reviewer_record

  A reviewer's published signed reviews and, when present, their calibration record (Brier score, open predictions, positivity skew). Call this when the user asks about a named Pith reviewer or how trustworthy a reviewer's track record is.

• get_record

  The compiled record of one paper: the authors' own sentences, arranged with typed labels. It carries the main claim in the authors' words, each abstract sentence's role, results with the qualifications the authors state beside them, the conditions of the study, measurements with

• resolve_paper

  Turn a pasted arXiv id, arXiv URL, DOI, or Pith Number into the arXiv id the other tools key on. ``resolved`` is false when the input did not become an arXiv id.

• paper_packet

  One paper's compiled record, small enough to hold beside others: the main claim and contribution in the authors' words, each abstract sentence with its role and probability, paper-level labels, and, for full-text records, conditions, measurements, results and limitations, with to

• citation_neighbors

  One hop from a paper: every reference entry with its resolved work identity, the papers that cite it, and, where a record exists, the citing sentences with their labeled intent. An edge means the paper names the other work, not that the work supports the citing claim.

• paper_bridge

  Whether either paper cites the other, the resolved works both cite (on or off arXiv), and the papers that cite both.

• paper_connections

  What other arXiv papers do with this paper, and what it does with the arXiv papers it cites: builds on, uses the method or tool, uses the data, compares with, cites as support or background, or contests. Each group counts distinct papers and quotes the citing authors' own sentenc

• check_claim

  Which arXiv papers support a scientific statement, which contradict it, and which study it without deciding, each with the paper's own main claim quoted and the classifier's probability. Call this before asserting a scientific result, when a user asks whether something is establi

• verify_citation

  Whether the cited paper's own sentences support what a sentence attributes to it: supports, partly supports (a condition is missing), contradicts, or not addressed, with the single best sentence from the paper quoted. Call this before citing a paper for a specific claim, or to ch

• find_passages

  Author sentences the classifier labeled with one role, across every stored record, each with its probability and paper. Abstract-tier records cover limitation, result and main_claim; full-text records add condition, citation and measurement.

• record_coverage

  Sources read and levels run for one paper's record, or the number of stored records by tier. Call before treating an empty result as a finding: an empty list means nothing in the examined scope matched.

• my_citations

  For the papers claimed on the account behind your key: how many papers cite each, whether they cite it as support, extension or disagreement, and the citing sentence quoted. Call when the user asks who is building on or disputing their work. Needs a personal key.

• my_reviews

  Pith's machine review verdict and the count of published signed human reviews for each paper claimed on the account behind your key. Needs a personal key.

• check_my_draft

  Resolve each reference in a draft, flag retracted works, and for arXiv papers show how later papers cite them: as support, and whether any contest them, with the contesting sentence quoted. Call before a submission or when a user wants their reference list checked. Needs a person

• ask_field

  Read the papers closest to a question and return, for each, whether its own abstract sentences answer yes, no or not addressed, with the deciding sentence quoted. Call when a user asks whether something holds across the literature. Candidates are chosen by meaning, so a paper tha

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月11日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（pith.science）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 385 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 24 个工具描述，未发现针对 AI 的隐藏指令

用户评价

还没有评价

与“搜索与 AI 记忆”中的其他服务器比较i

• 星标数多于此分类中其他 5867 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 5867 个服务器的 45% 更新
• 基础检查结果等于或优于此分类中其他 5867 个服务器的 45%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

作者：ruvnet·广泛使用·↓ 7.4万/周·★ 8.1万·今天更新

在你的电脑上运行

安装

Context7

Up-to-date docs for AI agents

作者：upstash·广泛使用·↓ 125万/周·★ 6.4万·昨天更新

电脑或云端

安装

Metabase

Lets AI clients search, explore, query, and visualize data in a Metabase instance.

作者：metabase·广泛使用·★ 5万·6个月前更新

在云端运行

安装

作者的 README

仓库中没有找到 README