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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "finlab-ai": {
      "type": "http",
      "url": "https://mcp.finlab.finance/mcp"
    }
  }
}

claude mcp add --transport http finlab-ai https://mcp.finlab.finance/mcp

[mcp_servers.finlab-ai]
url = "https://mcp.finlab.finance/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "finlab-ai": {
      "type": "remote",
      "url": "https://mcp.finlab.finance/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "finlab-ai": {
      "type": "http",
      "url": "https://mcp.finlab.finance/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=finlab-ai&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmZpbmxhYi5maW5hbmNlL21jcCJ9"
}

{
  "servers": {
    "finlab-ai": {
      "type": "http",
      "url": "https://mcp.finlab.finance/mcp"
    }
  }
}

{
  "mcpServers": {
    "finlab-ai": {
      "httpUrl": "https://mcp.finlab.finance/mcp"
    }
  }
}

extensions:
  "finlab-ai":
    enabled: true
    name: "finlab-ai"
    type: streamable_http
    uri: "https://mcp.finlab.finance/mcp"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_data_catalog (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_finlab_docs (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); how_to_start (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 462 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

6 tools, about 462 tokens to load them all · tool set 36d7c1dd6e17 · checked 2026-10-19 10:20 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 93 / 100

provenance90

liveness98

freshness85

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-94% ~updated-66d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.finlab.finance/mcp` streamable-http	none	yes	94%	354 ms	2025-06-18	2026-10-19

Tools (6)

`get_data_catalog`	取得 FinLab 量化資料庫的目錄摘要：涵蓋台股與美股的分類數、欄位數、資料列數、年份範圍，以及代表性資料集（股價、月營收、財務指標等）。適合回答「FinLab 有哪些資料」。
`get_finlab_docs`	取得 FinLab Skill 的開發文件（與 GitHub koreal6803/finlab-ai main 分支同步，skill 更新後自動生效）：不帶參數回傳 SKILL.md 主文件與參考文件清單；帶 doc 參數回傳指定參考文件全文。涵蓋 900+ 資料欄位、sim() 回測 API、60+ 策略範例、因子分析與機器學習等，撰寫 finlab Python 程式前建議先查閱。
`get_stock_evidence`	查詢台股個股的每日更新數據實證：基本面體質定位（獲利、估值、籌碼因子百分位）、目前正在觸發的量化訊號與其歷史前瞻報酬統計、估值位階等。例如 symbol="2330" 查台積電。資料來自 FinLab 每日以 finlab 套件計算的真實數據。
`get_strategy`	取得 FinLab 策略庫中單一策略的完整快照：策略說明、真實回測績效與基準比較、以及可直接執行的 finlab Python 程式碼。slug 可先用 list_strategies 查詢。
`how_to_start`	取得 FinLab 快速上手指南：如何用 AI 輔助流程（Claude cowork / Codex）在自己電腦安裝 FinLab 並跑第一個台股策略真實回測，以及免費線上體驗入口。適合回答「怎麼開始用 FinLab」「怎麼回測台股」。
`list_strategies`	列出 FinLab 公開策略庫中的台股量化策略，含每一檔策略的真實回測績效摘要（CAGR、Sharpe、最大回撤）與基準比較。想看完整策略內容與 Python 程式碼時，請接著呼叫 get_strategy。

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.koreal6803/finlab-ai",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.finlab.finance/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.0",
  "repository": {
    "url": "https://github.com/koreal6803/finlab-ai",
    "source": "github"
  },
  "websiteUrl": "https://finlab.finance",
  "description": "Quantitative trading toolkit with 900+ data columns, backtesting, and 60+ strategy examples."
}