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Nothing to run from here
SVTR AI Venture Database is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
96/100
tool-list score
9
tools declared
remote
at its publisher
—
calls last 7d
What it does
Curated & traceable AI venture data: verified funding events, org & founder profiles, US + China
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http svtr-ai-venture-database-mcp https://svtr.ai/api/mcp
# 2 — ask your agent for something these tools do
# search_organizations, get_organization_profile, get_person_profile and 6 more
SVTR AI Venture Database costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
SVAll 1 server
svtr1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http svtr-ai-venture-database-mcp https://svtr.ai/api/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
9 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
搜索 SVTR AI 创投库的公司与投资机构（按名称/别名，如 "Anthropic"、"a16z"）。Search AI companies and investors in the SVTR AI Venture Database by name or alias.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Company or investor name/alias, 2-80 chars. |
| type | string | no | Restrict to AI companies or investors; omit for both. |
| limit | integer | no | Max results (default 5). |
| lang | string | no | Output language, default zh (Chinese). |
按名称或 slug 取一家公司/投资机构的公开档案：简介、赛道、总部、累计融资、近期融资史（含来源链接）、投资机构的代表出手。Get the public profile of one organization: intro, sector, HQ, total funding, recent funding rounds with sources.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ref | string | yes | Organization name, alias, or svtr.ai slug. |
| lang | string | no | Output language, default zh (Chinese). |
按姓名或 slug 取一位创始人/投资人的公开档案：现任机构与职务、工作经历、教育背景。Get the public profile of one founder or investor: current roles, work experience, education.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ref | string | yes | Person name or svtr.ai slug. |
| lang | string | no | Output language, default zh (Chinese). |
最近 7 天的已核实 AI 融资事件（公开档位时间窗），可按赛道/阶段/公司名等单一维度筛选。Verified AI funding events from the last 7 days (public-tier window), filterable by one dimension.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| sector | string | no | SVTR standard sector (26 values). |
| stage | string | no | Normalized funding stage. |
| company | string | no | Company name filter. |
| country | string | no | HQ country (Chinese name, e.g. 美国/中国). |
| year | integer | no | Filter by announced year. |
| lang | string | no | Output language, default zh (Chinese). |
AI 赛道融资景观聚合统计：总额/笔数/中位数，全库赛道 Top10 或单赛道的阶段分布。仅聚合数字，无行级数据。Aggregated funding landscape: totals, top sectors, or stage breakdown for one sector.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| sector | string | no | Omit for cross-sector Top 10 landscape. |
| year | integer | no | Filter by announced year. |
| lang | string | no | Output language, default zh (Chinese). |
哪些投资机构在投某个方向：按近 24 个月已确认出手笔数排名的活跃投资机构（如「投资 AI4S 的机构有哪些」）。sector 用 SVTR 标准赛道，tag 用行业主题标签（AI4S / 智能体 / 人形机器人 / 药物发现 等，见 svtr.ai/orgs）。标签与赛道说的都是被投公司的属性，不是机构自己的。Which investors back a given sector or topic: active AI investors ranked by confirmed deals in the last 24 months.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| sector | string | no | SVTR standard sector of the portfolio companies. Mutually exclusive with tag. |
| tag | string | no | SVTR industry topic tag of the portfolio companies (e.g. AI4S, 智能体, 人形机器人). Mutually exclusive with sector; if both are given, sector wins and the tag is reported as ignored. |
| lang | string | no | Output language, default zh (Chinese). |
某家 AI 公司的可比公司：按美国 / 中国 / 欧洲分组，每组至多 3 家，列最近轮次与时间、累计融资、已披露估值，以及可核对的对标理由（同细分赛道 / 同赛道 / 同阶段 / 累计融资同一量级）。与 svtr.ai 公司详情页「可比公司」同一份数据。Comparable companies for one AI company, grouped by US / China / Europe (up to 3 each), with latest round, total raised, disclosed valuation and verifiable match reasons.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ref | string | yes | Company slug, UUID, or name / alias (e.g. "lovable", "逐际动力"). |
| lang | string | no | Output language, default zh (Chinese). |
搜索 SVTR 原创研究文章（Thesis 投资论文 / Profile 创始人深度 / Radar 事件判断 / 周报等，已发布口径）。Search SVTR original research articles.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Keyword in title or summary, 2-80 chars. |
| limit | integer | no | Max results (default 5). |
| lang | string | no | Output language, default zh (Chinese). |
SVTR AI 创投库对外统计：已收录 AI 公司数、投资机构数、人物数、已核实融资轮数、原创文章数。Public counts of the SVTR AI Venture Database.
No parameter schema on file.
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install SVTR AI Venture Database or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATool-list grade · score 96 / 100
Release 1.0.0 · scanned 20 Oct 2026
Graded from the tools this server lists, not from its source code.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score96
Findings0 threat · 0 capability
Capabilityminimal
Coveragemanifest
Verificationnot in this report
Surface digestac38f7e829e717e27575752cab9e4ca9712a651b143dacc62b4fb19e349734d2
Score vectorthreat 100 → client 96
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
Tool surfaceread
Implementation sourcenot available
Package metadatanot available
Live transportnot available
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| search_organizations | no tags | |
| get_organization_profile | no tags | |
| get_person_profile | no tags | |
| get_recent_funding_events | no tags | |
| get_sector_landscape | no tags | |
| get_active_investors | no tags | |
| get_comparable_companies | no tags | |
| search_svtr_articles | no tags | |
| get_svtr_stats | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digestac38f7e829e717e2
Scanned2026-10-20
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish SVTR AI Venture Database can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.