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SVTR AI Venture Database

REMOTE · SVTR.AI · SCANNED SEP 24

Curated & traceable AI venture data: verified funding events, org & founder profiles, US + China

Available components

0 this week 80 Trust /100
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 Security66
  • The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
  • Authorisation not fully verified: no authorisation is required to call this server, and 8 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
  • HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
  • The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
  • DNSSEC is configured correctly; the domain's records validate against the full chain to the root. View diagnostics → Pass
Transport & Reachability100
Schema Quality & AI Usability73
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1100 tokens (~137/item across 8 items; 8 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 Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 9 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
Install

How do I install the SVTR AI Venture Database MCP server?

SVTR AI Venture Database is a hosted endpoint at https://svtr.ai/api/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 · svtr.ai

# add to Claude Code
claude mcp add --transport http ai-svtr-aidb 'https://svtr.ai/api/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "ai-svtr-aidb": {
      "url": "https://svtr.ai/api/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ai-svtr-aidb": {
      "type": "http",
      "url": "https://svtr.ai/api/mcp"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.ai-svtr-aidb]
url = "https://svtr.ai/api/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-svtr-aidb": {
      "type": "remote",
      "url": "https://svtr.ai/api/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-svtr-aidb --url 'https://svtr.ai/api/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  ai-svtr-aidb:
    url: "https://svtr.ai/api/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ai-svtr-aidb": {
      "Transport": "http",
      "Url": "https://svtr.ai/api/mcp"
    }
  }
}
# add to Vellum
assistant mcp add ai-svtr-aidb -t streamable-http -u 'https://svtr.ai/api/mcp'
// mcp.json
{
  "mcpServers": {
    "ai-svtr-aidb": {
      "type": "http",
      "url": "https://svtr.ai/api/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

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.

  • 18 Sept 26 0
    • Schema quality: 878 → 1100 functional
    • New tool “get_active_investors” functional
  • 5 Sept 26 0
    • Stability: 0.97 → pass security
  • 4 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 30 Aug 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.

  • 28 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

  • 26 Aug 26 76
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 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
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 24 Sept 2026 · Probed https://svtr.ai/api/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=svtr.ai CN=WE1,O=Google Trust Services,C=US 28 Aug 2026 26 Nov 2026 ECDSA 256 ECDSA-SHA256 cb1c56ab37e9a822134635e6e5d1f322
SANs: svtr.ai, *.svtr.ai
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC secure

Validation of svtr.ai. Secure

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
svtr.ai. present 2371 13 Verified
svtr.ai. Verified address RRset verified with the apex keys
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-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://svtr.ai/api/mcp Verified 200
http (plaintext) http://svtr.ai/api/mcp HTTPS enforced 301 https://svtr.ai/api/mcp
MCP tools · 8 exposed · ~949 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
get_active_investors ~222

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.

NameTypeReqDescription
langstringOutput language, default zh (Chinese).
sectorstringSVTR standard sector of the portfolio companies. Mutually exclusive with tag.
tagstringSVTR 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.

No output schema declared.

No examples provided.

get_organization_profile ~106

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.

NameTypeReqDescription
langstringOutput language, default zh (Chinese).
refstringyesOrganization name, alias, or svtr.ai slug.

No output schema declared.

No examples provided.

get_person_profile ~87

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.

NameTypeReqDescription
langstringOutput language, default zh (Chinese).
refstringyesPerson name or svtr.ai slug.

No output schema declared.

No examples provided.

get_recent_funding_events ~148

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.

NameTypeReqDescription
companystringCompany name filter.
countrystringHQ country (Chinese name, e.g. 美国/中国).
langstringOutput language, default zh (Chinese).
sectorstringSVTR standard sector (26 values).
stagestringNormalized funding stage.
yearintegerFilter by announced year.

No output schema declared.

No examples provided.

get_sector_landscape ~112

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.

NameTypeReqDescription
langstringOutput language, default zh (Chinese).
sectorstringOmit for cross-sector Top 10 landscape.
yearintegerFilter by announced year.

No output schema declared.

No examples provided.

get_svtr_stats ~55

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

search_organizations ~121

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.

NameTypeReqDescription
langstringOutput language, default zh (Chinese).
limitintegerMax results (default 5).
querystringyesCompany or investor name/alias, 2-80 chars.
typestringRestrict to AI companies or investors; omit for both.

No output schema declared.

No examples provided.

search_svtr_articles ~98

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.

NameTypeReqDescription
langstringOutput language, default zh (Chinese).
limitintegerMax results (default 5).
querystringyesKeyword in title or summary, 2-80 chars.

No output schema declared.

No examples provided.

Common questions

What is the SVTR AI Venture Database MCP server?

SVTR AI Venture Database is an MCP server listed in the public MCP registry as ai.svtr/aidb. Curated & traceable AI venture data: verified funding events, org & founder profiles, US + China. This page covers its hosted endpoint (https://svtr.ai/api/mcp).

Is the SVTR AI Venture Database MCP server safe to use?

SVTR AI Venture Database 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 SVTR AI Venture Database MCP server expose?

SVTR AI Venture Database exposes 8 tools: search_organizations, get_organization_profile, get_person_profile, get_recent_funding_events, get_sector_landscape, and 3 more. Their descriptions and schemas cost roughly 949 tokens of context every time the server is loaded.

Does the SVTR AI Venture Database MCP server require authentication?

No. We connected to SVTR AI Venture Database without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the SVTR AI Venture Database MCP server still maintained?

SVTR AI Venture Database is still listed as active in the MCP registry. We last reached this channel on 24 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.