Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Reviews of arXiv papers for AI agents: verdicts, claims, flaws, compiled records, citation graphs.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://pith.science/mcpRun this in your terminal
claude mcp add --transport http pith https://pith.science/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pith": {
"url": "https://pith.science/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"pith": {
"type": "http",
"url": "https://pith.science/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://pith.science/mcpMenu names can differ slightly by plan and over time.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 9, 2026. The maker wrote them, not us; we show them as plain text.
get_reviewPith'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_papersSearch 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_reviewsThe 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_claimsThe 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_claimsAlias of analyze_paper_claims: the same ledger of what the paper asserts, its premises, machinery, and falsifier, in argument order.
search_claimsFull-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_falsifierThe 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_falsifierAlias of get_paper_falsifier: the same falsifier and watcher count.
get_signed_reviewsPublished 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_recordA 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_recordThe 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_paperTurn 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_packetOne 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_neighborsOne 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_bridgeWhether either paper cites the other, the resolved works both cite (on or off arXiv), and the papers that cite both.
paper_connectionsWhat 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_claimWhich 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_citationWhether 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_passagesAuthor 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_coverageSources 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_citationsFor 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_reviewsPith'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_draftResolve 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_fieldRead 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
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
The registry lists no source repo, so we cannot match the publisher (pith.science) to the code
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Read 24 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
No README found in the repo