Pith
Pith is pre-print review and integrity infrastructure for science. Papers get machine-readable checks, identifiers, and referee-style reports for authors and readers to scrutinize.
https://pith.science/Opens ChatGPT on the web or desktop and asks it to use the WebMCP tools available here.
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Last probed Sep 14, 2026 · pith.science
10tools discovered
Get a paper's Pith 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 premises and logical structure can be stated without reading the PDF. Use this for any question about a specific paper: what it asserts, what it assumes, how the argument runs, how sound it is, or
Search reviewed 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.
List recently reviewed papers
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 a paper's claims, premises, and logical structure
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 about a paper's claims, premises, assumptions, reasoning, logical dependencies, logical structure, argument structure, or conclusion. Each entry includes its text, role, type, and status.
Get a paper's claim ledger
Alias of analyze_paper_claims: the same ledger of what the paper asserts, its premises, machinery, and falsifier, in argument order.
Search extracted 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, verdict, and review link.
Get the test or result that could disprove a paper
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 claim, settle the claim, or show that the conclusion fails.
Get a paper's falsifier
Alias of get_paper_falsifier: the same falsifier and watcher count.
Get a paper's signed human 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 a reviewer's 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 your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
Directory coverage for brandsPith is pre-print review and integrity infrastructure for science. Papers get machine-readable checks, identifiers, and referee-style reports for authors and readers to scrutinize.
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
Operate Pith? Verify ownership to take over this directory entry.
This server appears in the MCPBundles directory. Verify you operate it to take over the listing — name, description, logo, contact email, and skill content. We email a 6-digit code to a maintainer address your server publishes in /.well-known/security.txt or /.well-known/mcpbundles.json. Free, takes about a minute.
MCPBundles probed 10 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
No provider sign-in was required during MCPBundles' probe. Your client may still need MCPBundles credentials depending on how you connect.
MCPBundles is an independent platform built on the open Model Context Protocol standard. Not affiliated with Anthropic PBC or Claude.