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TANDIU AI infrastructure data

REMOTE · WWW.TANDIU.CN

Free, no auth. Daily CN AI infra: LLM prices, index, trends, GPU, estimators, agents, PC, funding.

Available components

+6 this week 80 Trust /100

Last scanned (10 hours ago)

Scores higher than 81% of remote servers

Reachable. Last reached 5 Nov 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability60
  • AI-judged instruction clarity (fair).Partial
  • Context-footprint check failed: tool/resource definitions use about 1797 tokens (~112/item across 16 items; 16 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management87
  • Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage77
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 31% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 16 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 17 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

  • 1 Nov 26 +3
    • HSTS header: fail → pass ▲ security
  • 31 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.

  • 30 Oct 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Schema quality: 1560 → 1797 ▼ functional
    • New tool “find_mcp” functional
    • New tool “get_mcp_changes” functional
  • 29 Oct 26 +1
    • Tool “list_gpu_prices” rewrote its description, which is the text the model reads security
  • 27 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

  • 24 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://www.tandiu.cn/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=www.tandiu.cn CN=YE1,O=Let's Encrypt,C=US 26 Oct 2026 24 Jan 2027 ECDSA 256 ECDSA-SHA384 660a778c29cc32446beaa9a89fc9625a2fe
SANs: www.tandiu.cn
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of www.tandiu.cn. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
cn. present 33094 8 Verified
tandiu.cn. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=31536000
x-frame-options SAMEORIGIN
referrer-policy strict-origin-when-cross-origin

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://www.tandiu.cn/mcp Verified 200
http (plaintext) http://www.tandiu.cn/mcp HTTPS enforced 308 https://www.tandiu.cn/mcp
MCP tools · 16 exposed · ~1,563 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
about_tandiu_data ~31

What data TANDIU publishes, refresh cadence, price basis and how to cite. Call first.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

cheapest_model_for_score ~66

Cheapest models whose benchmark score meets a threshold (absolute or percent of the best score).

NameTypeReqDescription
countrystring––
limitinteger––
metricstring––
min_percent_of_topnumber––
min_scorenumber––

No output schema declared.

No examples provided.

estimate_enterprise_ai_cost ~165

Monthly AI cost for 10 / 100 / 1,000 / 10,000-person company samples across industries: API (per-role model choice, or the open model's official API) vs self-hosting the same open model on public cloud, private cloud or on-premises GPUs, with GPU count and cost per 1M tokens.

NameTypeReqDescription
headcountinteger––
include_gpu_breakdownboolean–self-hosting cost on every GPU for each sample
include_hardware_tableboolean–per-GPU unit economics (throughput, hardware price, cost per 1M tokens)
include_teamboolean––
querystring–industry or sample, e.g. bank, hospital, ecommerce

No output schema declared.

No examples provided.

estimate_role_token_budget ~92

Monthly token usage and cost for 32 common job roles at light / standard / heavy AI usage, with the best model (any country) and the best Chinese model that meet each role's capability floor.

NameTypeReqDescription
groupstring––
limitinteger––
querystring–role id or name, e.g. backend, lawyer, doctor
usagestring––

No output schema declared.

No examples provided.

estimate_self_hosting ~106

VRAM, GPUs needed, single-stream and batched throughput, hardware cost and the vendor's official API price/speed for self-hosting an open-weights model. Omit model to list available models.

NameTypeReqDescription
gpusarray–gpu ids from list_gpu_prices, e.g. h100_sxm, h20, ascend910b, rtx_pro_6000, rtx5090, rtx5090d
modelstring––

No output schema declared.

No examples provided.

find_mcp ~143

Official MCP servers of major US / Chinese / regional companies (payments, maps, finance data, collaboration, cloud, model platforms): transport, auth barrier, account requirements, pricing model, free quota (doc wording), daily cross-border reachability measured by TANDIU (China<->US handshake; evidence=probe), listing on MCP Registry / Claude directory. Facts only, no scores.

NameTypeReqDescription
categorystring––
cross_borderstring––
limitinteger––
pricing_modelstring––
querystring–vendor or product substring, e.g. stripe, 高德
regionstring––

No output schema declared.

No examples provided.

get_llm_price_history ~120

Pro (API key required): daily official list-price history per model since July 2026, USD and RMB per 1M tokens, with source URLs. Filter by model, vendor, country and date range.

NameTypeReqDescription
countrystring––
limitinteger––
modelstring–model key or name substring, e.g. gpt-5.6, deepseek
sincestring–YYYY-MM-DD
untilstring–YYYY-MM-DD
vendorstring––

No output schema declared.

No examples provided.

get_mcp_changes ~68

Append-only change events of tracked official MCP servers (terms/pricing pages, cross-border reachability, tools, status, directory listing) for the last N days, optionally for one entry id from find_mcp.

NameTypeReqDescription
daysinteger––
entry_idstring––

No output schema declared.

No examples provided.

get_price_index ~50

Chain-linked LLM price index (CN, US or all models), 30-day change, median price and series.

NameTypeReqDescription
groupstring––
sincestring–YYYY-MM-DD

No output schema declared.

No examples provided.

list_ai_funding ~120

Funding rounds of AI companies (mainly US and China): company, business, round, amount, valuation, investors, source links. Newest first; filter by region, sector, company/investor name, date or minimum amount.

NameTypeReqDescription
limitinteger––
min_amount_usdnumber––
querystring–company, product or investor name
regionstring––
sectorstring––
sincestring–YYYY-MM-DD
sort_bystring––

No output schema declared.

No examples provided.

list_cloud_agents ~51

Cloud agents (one persistent agent per person, team agents, hosting platforms) with specs and monthly prices.

NameTypeReqDescription
kindstring––
limitinteger––
querystring––

No output schema declared.

No examples provided.

list_gpu_prices ~172

Data-center, workstation and consumer GPUs (B300/B200/H200/H100/H20, Ascend 910B/910C, RTX PRO 6000/5500/5000, RTX 5090/5090D/4090D, L40S/L20): VRAM, bandwidth, FP16 compute, list price, China market price (SXM GPUs per 8-GPU node), cloud rental with 7-day change and daily median history (since 2026-10-18; few_samples flags thin markets), sources and dates.

NameTypeReqDescription
china_available_onlyboolean––
querystring–gpu id or name substring, e.g. h20, rtx pro 6000, 910
with_cloud_rentalboolean––

No output schema declared.

No examples provided.

list_llm_prices ~96

Official API list prices (USD per 1M tokens) with Artificial Analysis, LiveBench 2.0 and Epoch AI scores for major US and Chinese LLMs. Filter and sort.

NameTypeReqDescription
countrystring–US, CN or another ISO code
limitinteger––
querystring–substring of model name
sort_bystring––
vendorstring––

No output schema declared.

No examples provided.

list_overseas_listings ~165

Where Chinese open models (DeepSeek, Qwen, GLM, Kimi, MiniMax, ...) are listed on platforms headquartered outside mainland China: hosting type, regions, input/output/blended USD per 1M tokens vs the official price, context, tool calling, data-policy links. Labs ranked by Hugging Face followers, models by downloads and likes.

NameTypeReqDescription
limitinteger––
max_blended_usdnumber–max blended USD per 1M tokens
modelstring–model name or key substring, e.g. deepseek v4 pro, kimi, glm-5
platformstring–platform name substring, e.g. together, bedrock
tool_callingboolean––

No output schema declared.

No examples provided.

list_price_changes ~59

Official list-price cuts/increases observed in daily snapshots, and models newly added to tracking.

NameTypeReqDescription
limitinteger––
min_change_pctnumber––
sincestring–YYYY-MM-DD, default last 90 days

No output schema declared.

No examples provided.

recommend_coding_pc ~59

Relative speed and tier (best/recommended/minimum/not_advised) of Macs, laptops and desktops for running Codex / Claude Code.

NameTypeReqDescription
categorystring––
querystring––
tierstring––

No output schema declared.

No examples provided.

Install

How do I install the TANDIU AI infrastructure data MCP server?

TANDIU AI infrastructure data is a hosted endpoint at https://www.tandiu.cn/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · www.tandiu.cn

# add to Claude Code
claude mcp add --transport http cn-tandiu-data 'https://www.tandiu.cn/mcp'
Common questions

What is the TANDIU AI infrastructure data MCP server?

TANDIU AI infrastructure data is an MCP server listed in the public MCP registry as cn.tandiu/data. Free, no auth. Daily CN AI infra: LLM prices, index, trends, GPU, estimators, agents, PC, funding. This page covers its hosted endpoint (https://www.tandiu.cn/mcp).

Is the TANDIU AI infrastructure data MCP server safe to use?

TANDIU AI infrastructure data scores 80 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the TANDIU AI infrastructure data MCP server expose?

TANDIU AI infrastructure data exposes 16 tools: about_tandiu_data, list_llm_prices, cheapest_model_for_score, get_price_index, get_llm_price_history, and 11 more. Their descriptions and schemas cost roughly 1,563 tokens of context every time the server is loaded.

Does the TANDIU AI infrastructure data MCP server require authentication?

No. We connected to TANDIU AI infrastructure data without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the TANDIU AI infrastructure data MCP server still maintained?

TANDIU AI infrastructure data is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.