Palimpsest — censorship, China economy and model-eval observatory MCP server
online · 100% uptimeRights-aware censorship, China-economic status, and tamper-evident AI evaluation tools.
3 stars
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Palimpsest — censorship, China economy and model-eval observatory tools (8)
write = sends, deletes, buys or postsget_newsroomFreeRead one evidence-first reporting surface without scraping a page or guessing a filename. Views: 'newsroom' for prioritized deterministic stories, 'wire' for normalized source dossiers, 'economy' for the currently restricted China economic pulse, 'machine-analysis' for the currently restricted AnalysisReports and AbstentionReports, 'investigations' for review-gated research leads, 'editorial-readiness' for publication gates, and 'interconnection' for named-key fat-object joins on China situation events (topic-surface-only, never wire corroboration). The economy, machine-analysis and interconnection views are metadata-only until a lineage-filtered rebuild removes denied derivatives. Availability never implies publication readiness: statuses, gates, counterevidence, limitations and right-to-reply state stay attached.
get_signalFreeRead one named signal. Permitted signals return their bounded latest payload; China-economic signals in the denied lineage closure return explicit restricted/unavailable rights metadata and no values. Call list_signals first to discover valid names. Use this for the AI-model-evaluation side too: 'eval-registry' returns the pre-registered, hash-chained eval ledger with its verified flag and Merkle root, 'gfi-transcripts' returns a bounded view of the complete GFI v2 response matrix, and 'refusal-drift' returns the current frontier-model refusal reading on the frozen benign probe set; read 'eval-assurance' before turning either into a validity claim, and 'eval-journal' for the evidence-bound explanation and source receipts, or 'eval-findings' for the current deterministic article edition. Distinct from gfw_reading, which merges the two Great Firewall layers into one combined view.
gfw_readingFreeRead the Great Firewall's current state at both layers in one call: live network blocking measured inside China via OONI (website, messenger and circumvention-tool reachability) joined with model-layer censorship from the Generative Firewall Index over Chinese LLMs. Takes no arguments. A combined convenience view — for one layer's full raw payload use get_signal with 'ooni-gfw' or 'generative-firewall-index'.
inspect_economic_publication_rightsFreeInspect publication-rights metadata for China economic evidence. Returns the policy digest, UTC evaluation clocks, per-source decisions and published-record status. Takes no arguments and never reads or returns observation rows, derived signals or replacement values. A denied publication decision remains a restriction, not a zero observation.
list_signalsFreeList every published signal Palimpsest exposes across its three applications: name, one-line description and source URL for each. Censorship and information control — OONI Great Firewall probes, Censored Planet, IODA outages, circumvention demand, takedown and redaction pressure, and the board's own verdict. China economics — explicit metadata-only rights status for affected observations, pulse, forecast and derivative surfaces; no denied values are returned. AI model evaluation — the tamper-evident, pre-registered eval registry (hash-chained and Merkle-rooted), its claim-by-claim assurance ceiling, evidence-bound Eval Journal, deterministic live findings, and frontier-model refusal drift, alongside the Generative Firewall Index over a named China-focused panel. Takes no arguments. Call this first to discover signal names, then get_signal for one full reading.
query_economic_observationsFreeInspect the native publication-rights status for the China-economic observation surface. The reviewed default-deny policy does not authorize redistribution of current CFETS/ChinaMoney values, so this tool returns policy digest, UTC clocks, per-source decisions and zero published-record status only. It never reads or returns observation rows, empty row arrays, derived signals, or neutral replacements. Filters are validated for contract compatibility but cannot override source rights.
research_catalogFreeDiscover every Palimpsest dataset, including the latest China economic histories, external trade, regional research, information controls and model evaluations. Paginated metadata retains source clocks, rights and access states. Includes the Seiche research_network handoff for funding, institution and market-liquidity context; values are not copied.
whats_happeningFreeJudge whether anything is happening in Chinese censorship right now, across every signal at once: the board's own cross-signal verdict with the multiplicity paid for (false-discovery control) and coverage confounds flagged as measurement artifacts, never findings. Takes no arguments. Use this instead of fetching signals individually and reconciling them yourself; then use get_signal to drill into whichever signal moved. Scope note: this is the censorship board. For the AI-model-evaluation side use get_signal with 'eval-registry', 'eval-assurance' or 'refusal-drift'.
Public scan report
scanner v0.1.10 · 2026-10-30 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 1606ms20/20
- Tool poisoning7 tool descriptions checked15/15
- Auth qualityopen endpoint, read-only tools10/15
- Maintenancelast push 2 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Palimpsest — censorship, China economy and model-eval observatory compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 91/100
- higher than 88% of 4,460 AI and agents servers
- Tools
- 8
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- Uptime
- 100%
- of our recent checks; the typical remote AI and agents server answers 100%
- Response time
- 387 ms
- faster than 36% of 2,331 AI and agents servers
- GitHub stars
- 3
- more than 75% of 2,711 AI and agents servers
What its tools let an agent do: 8 read
Install Palimpsest — censorship, China economy and model-eval observatory in Claude Code, Cursor or VS Code
claude mcp add --transport http palimpsest https://api.seiche.info/palimpsest/mcp
What the publisher says
From the Palimpsest — censorship, China economy and model-eval observatory repository's README, as published. We do not edit it. Read it on GitHub
Palimpsest
A public, tamper-evident record of what powerful actors quietly erase, and a way for anyone to detect, offline, whether the served record still reproduces its published commitments.
Palimpsest is one primitive, a sealed append-only ledger you can verify without trusting us, pointed at two places where the record gets rewritten in the dark:
publication. The questions are frozen and hash-committed before any model is queried, every result is chained to the one before it, and a single edited number fails verification. Chinese state-aligned models and Western frontier models are held to the same tamper-evident, pre-registered machinery, each on its own frozen suite, watched over time for what they quietly stop answering. Not a lab, not a government, not us: if we edited a published number, our own verifier would report the break.
- The Verifiable Eval Registry. AI evaluation results, sealed at
record of what has been scrubbed, rewritten or blocked — across the network, the encyclopedia and the model — and turns what a state is burying into a live, openly licensed early-warning signal for journalists, researchers, and human rights defenders. Twenty-six signals refresh on their own, unattended, every number tracing back to public evidence.
- The Censorship Observatory. Authoritarian deletion, measured as data. It reads the public
evals exist, what changed in their methods, what failed, and what the record can claim today. Every article keeps its limitations, falsifier, verification commands and exact artifact receipts; the linked readings remain authoritative.
- The AI Eval Journal. Evidence-bound essays about why the
the newest verified refusal-drift panel. Every analytical sentence binds to an exact evidence selector, while controls, denominators, intervals, counterreadings and immutable revisions remain available beside the finding.
- Live Eval Findings. Deterministic analysis rebuilt from
Built entirely from open sources. It watches the censor, never the censored.
Use Palimpsest for source-bound China evidence
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Palimpsest — censorship, China economy and model-eval observatory: common questions
- Is Palimpsest — censorship, China economy and model-eval observatory MCP server safe?
- Yes, by our scan: it is graded A (91/100). Read the Palimpsest — censorship, China economy and model-eval observatory safety report
- How do I install Palimpsest — censorship, China economy and model-eval observatory?
- It runs remotely at api.seiche.info. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Palimpsest — censorship, China economy and model-eval observatory need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Palimpsest — censorship, China economy and model-eval observatory maintained?
- The last commit was 7 days ago (2026-10-28). The latest release is v1.9.3.
- Is Palimpsest — censorship, China economy and model-eval observatory up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Palimpsest — censorship, China economy and model-eval observatory?
- Servers from other publishers that do the same job: DataSinking MCP server, three.ws Billing MCP server and AKShare MCP server.
- How does Palimpsest — censorship, China economy and model-eval observatory compare with other AI and agents MCP servers?
- safety score 91/100 (higher than 88% of 4,460 AI and agents servers); tools 8 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
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