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stagenth · 数据工具箱

REMOTE · STAGENTH.COM

Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.

Available components

0 this week 25 Trust /100

Last scanned (15 minutes ago)

Scores higher than 10% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Data and Analytics

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 Security63
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Tool Safety0
  • Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Capabilities0
  • Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified

Unverified: 5 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

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.

  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 15 Sept 26 0
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Stability: pass → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • Transport: pass → fail ▼ security
    • Authorization: Authorisation not fully verified: no authorisation is required to connect, but we couldn't read the whole tool list to see what that exposes. security
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
    • First check of Schema quality: unverified functional
  • 9 Sept 26 0
    • Schema quality: good → excellent functional
  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Aug 26 0
    • Stability: 0.97 → pass security
  • 11 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 7 Aug 26 0
    • The server no longer declares the “experimental” capability functional
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://stagenth.com/mcp/data-kit/

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=stagenth.com CN=WoTrus RSA DV SSL CA 2,O=WoTrus CA Limited,C=CN 29 Apr 2026 13 Nov 2026 RSA 2048 SHA256-RSA 2236e5209bd5ee61d508cdd74f9369b4
SANs: stagenth.com, www.stagenth.com
CN=WoTrus RSA DV SSL CA 2,O=WoTrus CA Limited,C=CN (CA) CN=Sectigo Public Server Authentication Root R46,O=Sectigo Limited,C=GB 20 Aug 2025 19 Aug 2035 RSA 3072 SHA384-RSA 8284f1ba29ad334d8a2d0cea65f84036
CN=Sectigo Public Server Authentication Root R46,O=Sectigo Limited,C=GB (CA) CN=USERTrust RSA Certification Authority,O=The USERTRUST Network,L=Jersey City,ST=New Jersey,C=US 22 Mar 2021 18 Jan 2038 RSA 4096 SHA384-RSA d27fbbc1de359e5216ad6149586099c4
CN=USERTrust RSA Certification Authority,O=The USERTRUST Network,L=Jersey City,ST=New Jersey,C=US (CA) CN=USERTrust RSA Certification Authority,O=The USERTRUST Network,L=Jersey City,ST=New Jersey,C=US 1 Feb 2010 18 Jan 2038 RSA 4096 SHA384-RSA 1fd6d30fca3ca51a81bbc640e35032d

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of stagenth.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
stagenth.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Inconclusive

We could not reach the endpoint well enough to judge its authorisation posture.

Result Inconclusive
HTTP status 404
Header Value
strict-transport-security max-age=31536000; includeSubDomains
x-content-type-options nosniff
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://stagenth.com/mcp/data-kit/ HTTP error 404
http (plaintext) http://stagenth.com/mcp/data-kit/ HTTPS enforced 301 https://www.stagenth.com/mcp/data-kit/
MCP tools · 6 exposed · ~1,473 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
data_clean ~181

一步清洗脏数据:去重 / 去空白 / 删全空行列,产物落文件中转站并返清洗统计(1 credit/次)。

NameTypeReqDescription
data_base64––数据内容 base64
dedupeboolean–整行去重
drop_empty_colsboolean–删除全空列
drop_empty_rowsboolean–删除全空行
file_id––数据文件 ID(与 data_base64 二选一)
fmt––源格式 csv/tsv/json/ndjson/parquet;缺省自动识别
tostring–输出格式 csv/json/ndjson/parquet/xlsx,默认 csv
trim_stringsboolean–字符串去首尾空白,空串归 NULL

No output schema declared.

No examples provided.

data_convert ~162

把数据文件转成另一种格式(csv/json/ndjson/parquet/xlsx),产物存文件中转站返下载 URL(1 credit/次)。 典型:把大 CSV 转 parquet 便于后续分析、或把 JSON 日志转 xlsx 给人看。失败自动退款。

NameTypeReqDescription
data_base64––数据文件内容 base64(与 file_id 二选一)
file_id––已上传的数据文件 ID(与 data_base64 二选一)
fmt––源格式 csv/tsv/json/ndjson/parquet;缺省自动识别
tostringyes目标格式:csv / json / ndjson / parquet / xlsx

No output schema declared.

No examples provided.

data_inspect ~166

查看数据文件结构:列名/类型/行数/每列非空数 + 前 N 行预览。免费(0 credit)。 支持 CSV/TSV/JSON/NDJSON/Parquet。取数(data_query)前先调它看清有哪些列、哪些是数值。

NameTypeReqDescription
data_base64––数据文件内容 base64(与 file_id 二选一,适合未上传的临时数据)
file_id––已上传到文件中转站的数据文件 ID(与 data_base64 二选一)
fmt––格式 csv/tsv/json/ndjson/parquet;缺省按内容自动识别
preview_rowsinteger–预览前 N 行

No output schema declared.

No examples provided.

data_join ~245

两份数据文件按共同列连接(如 订单表×客户表),返回实际数据行 JSON(1 credit/次)。 跨文件对齐是单文件 data_query 做不到的;DuckDB 引擎、锁死文件/网络访问。失败自动退款。

NameTypeReqDescription
columns––只返回这些列;缺省返回全部
data_base64_a––数据 A 内容 base64
data_base64_b––数据 B 内容 base64
file_id_a––数据 A 的文件 ID(与 data_base64_a 二选一)
file_id_b––数据 B 的文件 ID(与 data_base64_b 二选一)
fmt_a––A 格式 csv/tsv/json/ndjson/parquet;缺省自动识别
fmt_b––B 格式;缺省自动识别
howstring–连接方式 inner / left
limit––最多返回行数;硬上限 1000
onarrayyes连接列名(两份数据中都存在,最多 8 个)

No output schema declared.

No examples provided.

data_profile ~151

数据画像:每列类型/去重近似数/空值率 + 数值列 min/max/avg/std/分位数(1 credit/次)。 相当于 pandas df.describe()——AI 拿它一眼看清整份数据的分布与质量。失败自动退款。 返回 {ok, format, n_rows, n_cols, profile[]}。

NameTypeReqDescription
data_base64––数据文件内容 base64(与 file_id 二选一)
file_id––已上传的数据文件 ID(与 data_base64 二选一)
fmt––格式 csv/tsv/json/ndjson/parquet;缺省自动识别

No output schema declared.

No examples provided.

data_query ~568

查询 / 过滤 / 分组聚合数据文件,返回**实际数据行(JSON)**供 AI 直接分析(1 credit/次)。 支持 CSV/TSV/JSON/NDJSON/Parquet,两种用法: · 原始 SQL(表名固定 t):sql="SELECT 商品, sum(销量) s FROM t GROUP BY 商品 ORDER BY s DESC LIMIT 5" · 结构化(不用写 SQL):group_by=["地区"], measures=["销售额"], agg="sum", sort_by="销售额", descending=true, limit=10 SQL 仅允许单条只读 SELECT/WITH,禁止读文件/建表/联网。结果硬上限 1000 行,超出置 truncated=True。失败自动退款。 返回 {ok, format, mode, columns, total_rows, returned_rows, truncated, rows[]}。

NameTypeReqDescription
agg––聚合方式 sum/avg/count/min/max/median(默认 sum;count=数每组行数、无需 measures)
columns––明细模式:只返回这些列;缺省返回全部列
data_base64––数据文件内容 base64(与 file_id 二选一)
descendingboolean–降序排序(取 Top-N 常用 true)
file_id––已上传的数据文件 ID(与 data_base64 二选一)
filters––行过滤条件(AND 组合),每项 {column, op, value}。op 可选:eq/ne/gt/ge/lt/le/contains/in/notnull/isnull。例:[{"column":"状态","op":"eq","value":"失败"},{"column":"金额","op":"ge","value":1000}]
fmt––格式 csv/tsv/json/ndjson/parquet;缺省自动识别
group_by––分组维度列。给了就进聚合模式:按这些列分组,对 measures 求 agg
limit––最多返回多少行(取前 N / Top-N);硬上限 1000
measures––聚合模式:要统计的数值列;缺省=所有非分组的数值列
sort_by––按哪一列排序(可为分组后的 measure 或 count 列)
sql––只读 SQL,表名固定为 t。例:SELECT 地区, sum(金额) AS 合计 FROM t GROUP BY 地区 ORDER BY 合计 DESC LIMIT 10。仅允许单条 SELECT/WITH,禁止读文件/建表/联网。给了 sql 就忽略下面的结构化参数。

No output schema declared.

No examples provided.

Install

How do I install the stagenth · 数据工具箱 MCP server?

stagenth · 数据工具箱 is a hosted endpoint at https://stagenth.com/mcp/data-kit/, 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 · stagenth.com

# add to Claude Code
claude mcp add --transport http com-stagenth-data-kit 'https://stagenth.com/mcp/data-kit/'
Common questions

What is the stagenth · 数据工具箱 MCP server?

stagenth · 数据工具箱 is an MCP server listed in the public MCP registry as com.stagenth/data-kit. Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP. This page covers its hosted endpoint (https://stagenth.com/mcp/data-kit/).

Is the stagenth · 数据工具箱 MCP server safe to use?

stagenth · 数据工具箱 scores 25 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 stagenth · 数据工具箱 MCP server expose?

stagenth · 数据工具箱 exposes 6 tools: data_inspect, data_query, data_profile, data_convert, data_join, data_clean. Their descriptions and schemas cost roughly 1,473 tokens of context every time the server is loaded.

Does the stagenth · 数据工具箱 MCP server require authentication?

Its publisher declares that stagenth · 数据工具箱 requires credentials, so you will need to authorise it in your MCP client. We have not been able to confirm that against the live endpoint.

Is the stagenth · 数据工具箱 MCP server still maintained?

stagenth · 数据工具箱 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.