MCP server

The Stochastic Parrot

io.github.portneymk/stochastic-parrot

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

16

Token cost

About 2,316 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http stochastic-parrot https://thestochasticparrot.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.stochastic-parrot]
url = "https://thestochasticparrot.com/api/mcp"

Gemini CLI

{"mcpServers":{"stochastic-parrot":{"httpUrl":"https://thestochasticparrot.com/api/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add stochastic-parrot https://thestochasticparrot.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"stochastic-parrot","server_url":"https://thestochasticparrot.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"stochastic-parrot","server_url":"https://thestochasticparrot.com/api/mcp"}

Tools

• get_audit ~124 tokens
  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.
• get_boxscore ~87 tokens
  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.
• get_chain ~121 tokens
  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).
• get_claim_ledger ~136 tokens
  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.
• get_coverage_record ~82 tokens
  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.
• get_framing_index ~95 tokens
  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.
• get_storyboards ~141 tokens
  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
• list_audits ~250 tokens
  List published pieces (summaries: slug, title, kind, date, counts of hard contradictions and naming/framing splits), newest first. All filters optional and combinable.
• list_corrections ~69 tokens
  The desk's public corrections ledger: every logged error on a published piece — what was wrong, what changed, and when — in original ledger order.
• list_letters ~71 tokens
  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.
• propose_development ~178 tokens
  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.
• report_error ~167 tokens
  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.
• search_corpus ~186 tokens
  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.
• submit_letter ~165 tokens
  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.
• verify_piece ~125 tokens
  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.
• whats_new ~319 tokens
  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 age

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