Polymarket and Predict.fun historical tick data, plus backtest quotes and status, over MCP
Finlab AI 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.
What it does
Quantitative trading toolkit with 900+ data columns, backtesting, and 60+ strategy examples.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http finlab-ai-mcp https://mcp.finlab.finance/mcp
# 2 — ask your agent for something these tools do
# list_strategies, get_strategy, get_stock_evidence and 3 more
Finlab AI costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
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.
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 finlab-ai-mcp https://mcp.finlab.finance/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
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.
6 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.
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。
No parameter schema on file.
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。
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | 策略代號(slug),例如由 list_strategies 取得 |
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。
| Parameter | Type | Required | Notes |
|---|---|---|---|
| symbol | string | yes | 台股股票代號字串,例如 "2330"(台積電)、"0050"、"00631L"。保留前導零,不要轉成數字。 |
| market | string | no | 市場,預設 "tw" 台股;"us" 為美股(覆蓋率較低)。 |
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」。
No parameter schema on file.
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。
| Parameter | Type | Required | Notes |
|---|---|---|---|
| doc | string | no | 參考文件檔名,例如 "dataframe-reference.md"。省略時回傳 SKILL.md 與文件清單。 |
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」。
No parameter schema on file.
- 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 Finlab AI or to call it, at any volume.
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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
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 1.1.0.
No release note was published with this version.
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.
Any signed-in account that does not publish Finlab AI can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
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.