The Stochastic Parrot

io.github.portneymk由 GitHub 账号 portneymk 发布v1.1.0更新于 Oct 24, 2026

Span-grounded audits of how US outlets covered the same story, quotes checkable at the source.

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

让助手审查美国媒体对同一新闻的报道方式,引文以可回溯到原文的片段为依据。

可以做什么
The Stochastic Parrot 提供对美国媒体如何报道同一新闻的片段化审查。其输出把引文与具体片段对应起来,便于读者回到原始来源核对。清单未列出任何工具,因此具体操作在此不作说明。
适用场景
适合需要比较美国多家媒体对同一新闻的报道,以及需要可追溯、可核对的引文而非转述的场景。若需要通用网络搜索或非美国来源,则不太适用。
运行要求
通过服务商网站的远程 streamable HTTP 端点访问;未声明任何软件包、环境变量或请求头。清单声明无需身份验证,也未列出账号或 API 密钥。
安装前请注意
清单声明无需身份验证,也未要求任何凭据,因此没有按名称指出的机密信息。该服务为第三方远程服务:查询内容及你提交的新闻文本会发送给服务商。依赖引文前,请回到原始来源核对相应片段。

安装

在 SourceWeft 中

  1. 打开 控制台中的 The Stochastic Parrot,将其添加到工作区。
  2. 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.portneymk%2Fstochastic-parrot/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。

{
  "mcpServers": {
    "the-stochastic-parrot": {
      "type": "http",
      "url": "https://thestochasticparrot.com/api/mcp"
    }
  }
}

工具

16

whats_new

The desk's change window: the 20 most recently published pieces, newest first, with the desk's own dek, its computed split counts, and the story-chain ids each piece belongs to. This is the cheap 'what moved since I last looked' call — a few KB, not the multi-megabyte /feed.json — so a scheduled agent can poll it safely. Filter by date, kind, or chain. For anything older than the window, use list_audits with a date range.

输入参数kindchainlimitsince

search_corpus

Full-text search over every published piece (titles, deks, context lines, outlet names, and source headlines). Returns matching pieces with slug, title, URL, and a highlighted snippet, best matches first. Use the slug with get_audit for full detail.

输入参数limitquery必填

get_audit

Fetch one piece's full detail JSON by slug: headline, kind, date, context, dek, outlets, verified contradictions with verbatim spans, naming/framing splits, and the full source list. Slugs come from search_corpus or list_audits.

输入参数slug必填

list_audits

List published pieces (summaries: slug, title, kind, date, counts of hard contradictions and naming/framing splits), newest first. All filters optional and combinable.

输入参数kindlimitsinceuntiloutlet

list_corrections

The desk's public corrections ledger: every logged error on a published piece — what was wrong, what changed, and when — in original ledger order.

无需输入参数。

get_chain

Story chains: multi-piece storylines the desk has covered more than once. Call without arguments to list the available chain ids; pass chain_id for one chain in full (its pieces in order, claim ledger, and reopen conditions).

输入参数chain_id

verify_piece

Provenance record for one piece: SHA-256 hashes of its canonical JSON and published HTML as of the last corpus sync. Re-hash the live artifacts at the piece's URL and compare to confirm what you read is what the desk published.

输入参数slug必填

get_framing_index

The Framing Index: across the cross-outlet corpus, how often disagreements between outlets are hard contradictions vs naming/framing splits — totals, rate, monthly trend, per-outlet appearances. The desk's core longitudinal measurement.

无需输入参数。

get_coverage_record

The capture-coverage record: what the desk's observatory actually monitored and when, including gaps. Read this before treating any silence in the corpus as meaningful — the desk's own rule.

无需输入参数。

get_claim_ledger

A story chain's claim ledger: specific verbatim claims outlets made, each tracked through states (open, corroborated, contradicted, corrected, quietly_abandoned, resolved) with a receipt for every transition. Empty claims list = the desk has not logged claims for that chain yet.

输入参数chain必填

get_storyboards

A chain's per-newsroom storyboards: for each outlet, every piece it filed on the story entry-by-entry, the desk's published READ of what each piece was built to do (objective label, motive with its mandatory innocent read, confidence), the label arc, and the desk's 'story, as built' synthesis where one exists.

输入参数chain必填

list_letters

Letters to the Desk: reader mail, excerpted and initialed, with the desk's replies in its own voice. The desk's only interactive surface with its readership.

无需输入参数。

get_boxscore

The Daily Box Score for one day — the desk's frozen per-day stat snapshot. Requires the day; days are listed at /boxscore/ on the site.

输入参数day必填

submit_letter

Submit a letter to the desk. If the desk answers, the exchange may be published on the Letters page (excerpted, initialed) — through the desk's normal editorial process, never directly. Requires the reader key.

输入参数key必填fromtext必填

report_error

Report a suspected error in a published piece (a miscount, a quote that reads wrong, a broken claim). Verified catches are fixed and logged on the public corrections ledger, credited 'Caught by a reader.' Requires the reader key.

输入参数key必填slugdescription必填

propose_development

Tip the desk that a story moved — a development on an existing chain or a story worth auditing. Lands in the same proposed-developments queue the observatory's triggers feed; the desk decides what, if anything, to file. Requires the reader key.

输入参数key必填tip必填chain

版本历史

1
  1. v1.1.0最新Sep 16, 2026

评分

已满足适用检查项的 83%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分

    请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。