Tijori Finance

io.github.LaZZy0v0由 GitHub 帳號 LaZZy0v0 發布v1.0.0更新於 Oct 24, 2026

Indian equity research MCP — 5,000+ NSE/BSE stocks, financials, KPIs, and concall transcripts.

發布方自己的服務:Finance Foundation

概覽

AI 產生的概覽

讓助理研究印度上市公司:財務數據、股權結構、營運指標、選股篩選與投資人文件。

可以做什麼
透過 search_company、get_company_overview、get_financials、get_shareholding、get_operational_metrics、get_revenue_mix、get_market_share、get_macro_indicators 等工具,提供 5,000 多家 NSE/BSE 上市公司的 Tijori Finance 資料。它也能列出並執行選股篩選、搜尋約 1,500 個篩選欄位的目錄,並取得年報、業績公告、法說會逐字稿等投資人文件,另有工具可抓取並擷取 PDF 全文。結果以結構化 JSON 回傳並在記憶體中快取。
適用情境
適合讓助理調取並比較印度股票基本面、股權結構、分部營收或營運指標,或執行選股篩選、閱讀法說會資料,省去手動尋找 PDF 的麻煩。
執行需求
以 npm 套件(tijori-finance-mcp)形式透過 stdio 在本機執行,需要 Node.js v18 或以上版本以及 Claude Desktop。需要 Tijori Finance 帳號,憑證透過 TIJORI_EMAIL 與 TIJORI_PASSWORD 提供;完整資料存取建議使用付費訂閱。它會透過 Playwright 下載 Chromium 瀏覽器,並需要連線至 Tijori Finance 的網路。
安裝前請注意
此伺服器會把你的 Tijori 電子郵件與密碼存放在本機 .env 檔案,並在 output/session.json 保留已驗證的瀏覽器工作階段,請妥善保護這兩個檔案。它會以你的身分登入並透過該工作階段讀取頁面,README 說明其透過已驗證工作階段讀取以繞過 CDN 存取控制。資料僅供個人研究,不得再散布;本專案與 Tijori Finance 無關。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Tijori Finance,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

[Tijori Finance MCP]

Tijori Finance MCP

India's first MCP server for Indian equity research.

Talk to 5,000+ NSE/BSE listed companies directly from Claude with India's equity research MCP

[Node.js] [MCP] [License] [Data] [Status]


What you can do

"Pull Zomato's last 6 quarters of revenue and EBITDA margin, then read theirlatest concall transcript — are they hitting the targets management guided for?"
"Bajaj Finance's FII stake dropped 400bps last year while promoters held flat —pull their latest investor presentation to figure out if this is distribution or passive rotation."
"Crude is up — check the raw materials data for chemical spreads, then pullrevenue mix and operational metrics for Deepak Nitrite to see if margins are at risk."


"The goal is to turn data into information, and information into insight." — Carly Fiorina


In Action

1 — Cross-tool deep dive: Titan

Revenue mix pulled first, then cross-referenced against P&L data to explain trends

[Titan — Revenue Mix × P&L]


2 — IndiGo: P&L history

Full income statement history retrieved in one call — revenue, EBITDA, PAT across years

[IndiGo — P&L History]


3 — Concall → Financial projection

Knowledge base fetched the latest earnings call transcript, Claude read it and built a forward projection model

[Concall → Financial Projection]


Why this exists

Most financial MCP servers are built for US markets — Yahoo Finance, SEC filings, S&P data.

Nothing existed for India.

Tijori Finance is the most comprehensive source for Indian equity data — operational KPIs, revenue segment breakdowns, market share trends, and curated investor documents that aren't available anywhere else. This MCP server exposes all of it to Claude.

FeatureTijori Finance MCPTraditional ResearchBloomberg / Refinitiv
Setup Time5 minutesHours (Python, Excel...)Weeks (Contracts)
CostFree + Tijori subscriptionVariable$30k+/year
Indian Market Coverage✅ 5,000+ NSE/BSE stocks❌ Fragmented / manual✅
Operational KPIs✅ Segment data, KPIs, market share❌ Manual scraping✅ Proprietary
Concall Transcripts✅ Earnings calls, investor docs❌ PDF huntingPartial
AI-Ready Output✅ Structured JSON → Claude❌ Unstructured pages❌ Proprietary only
API Keys RequiredNoneMultiple (OpenAI, etc.)N/A
What makes this different from a web search?

A web search gives you unstructured pages. This gives Claude structured, queryable data — historical time series, typed fields, and consistent schemas across all 5,000+ companies. Claude can reason over it, compare across companies, and build analyses — not just summarize a webpage.


Tools

v1 — Stable

ToolWhat it does
search_companySearch any company by name, returns slug
get_company_overviewKey ratios, forensics score, market cap, PE, ROE, ROCE
get_financialsP&L, Balance Sheet, Cash Flow, Ratios, Quarterly results
get_shareholding10-quarter promoter / FII / DII / public breakdown
get_operational_metricsAll operational KPIs with full historical time series
get_fund_flowCapital allocation breakdown over 1/3/5/7/10 years
get_revenue_mixSegment breakdown with historical trend per segment
get_market_shareMarket share % per metric with as-of date
get_knowledge_baseAnnual reports, earnings releases, investor presentations, conference calls — returns URLs grouped by type
fetch_documentFetch and extract full text from a PDF URL returned by get_knowledge_base. Reads through the authenticated session to bypass CDN access controls
get_raw_materialsCommodity price performance — chemicals, spreads, metals
get_macro_indicatorsIndia macro — credit, IIP, GST, auto sales, GDP, trade
get_marketsIndex performance — Nifty, sector indices, conglomerates
get_sector_constituentsAll stocks inside a TJI niche sector index. Pass tjiid from get_markets("niche"). Returns slug, market-cap weight, and 1D–10Y price returns per stock
get_conglomerate_constituentsAll companies inside a business group. Pass tjiid from get_markets("conglomerates"). Returns slug and 1D–10Y price returns per stock
resolve_company_idsResolve slug to numeric company ID

v2 — Stable

ToolWhat it does
list_popular_screensBrowse Tijori's pre-built stock screens, grouped by category, with each screen's description and underlying query
screen_companiesRun a popular screen by name (preset) or screen 5,000+ stocks with Tijori's full query language — % values, field-vs-field comparisons, arithmetic like capex/Net Block > 0.5, plus business-data queries (alternate) like market share > 50 or revenue from Defence > 50
search_screener_fieldsSearch the ~1,500-metric field catalog (with time-period variants like 3yr Avg ROCE, 10Yrs ago PAT) to find exact field names for screen_companies

What's New

2026-06-12 — Screener overhaul

  • Alternate data queries. The Advanced Screener's second box now works ad-hoc: screen_companies({ alternate: "market share > 50" }) or { alternate: "revenue from Defence > 50", filters: "Market Capitalization > 1000" }. Relationships: makes, revenue from, market share, uses, caters to, has plant in, combinable with AND/OR/NOT.

  • The three screener checkboxes. latest_results_only (only companies that reported the latest quarter), superstar_investors (only companies a whale investor holds, with the holder named per row), and sme (search the SME-listed universe).

  • Popular screens actually run now. list_popular_screens previously returned queries with the AND glued to the next field name (newlines in the page's links were being stripped), and dropped each screen's category, description, market-share query, and superstar-investor flag. It now returns all of those, and screen_companies { preset: "Monopoly Companies" } runs any of them through the same endpoint the website uses — including the ones advanced queries can't express.

  • The advanced screener exposes Tijori's full query language. Queries support every field in Tijori's catalog, % values (ROCE > 20%), comparisons between fields (Net Sales > 3Yrs ago Net Sales), and arithmetic (capex/Net Block > 0.5).

  • New search_screener_fields tool. Tijori has ~1,500 financial metrics once you count time-period variants (3yr Avg ROCE, 5yr Growth Net Sales, 10Yrs ago PAT…). Search the catalog to find the exact name, then use it in a query.

  • Result caps + pagination. Screens used to return every matching row (1,000+ for loose queries). Results are now capped at 50 by default (limit raises it) and offset pages through the rest — "show me the next 50" is served instantly from cache without re-querying Tijori. total_results always reports the full count.

2026-06-10 — Reliability & performance

  • Long, multi-tool queries no longer time out. Asking for a full workup in one go — e.g. "build a model for MTAR: overview + financials + concall + revenue mix + operational KPIs" — used to overwhelm the browser and fail with page.goto: Timeout errors. Page loads are now faster (ads, trackers and images are skipped), capped to a safe number of concurrent loads, and retried once on a transient timeout. Tools also wait for the actual data to render rather than a fixed delay, so you get complete results instead of half-loaded ones.
  • Fixed a startup browser leak. A burst of parallel tool calls on a cold start could spin up several Chromium instances and leave most of them orphaned. It now launches exactly one and shares it.
  • get_market_share returns cleanly when there's no data. For companies that simply have no market-share metrics (most non-lenders), it now returns an empty result with a note instead of erroring — which previously made the assistant retry the same call in a loop.

Setup

Requirements


Option 1 — Wizard (recommended)

The setup script handles everything automatically: installs packages, downloads the browser, authenticates, and writes the Claude Desktop config for you.

Windows

  1. Download Node.js and install it (choose LTS)
  2. Download Claude Desktop and install it
  3. Download this repo and unzip it anywhere
  4. Double-click setup.bat inside the folder
  5. Follow the prompts — enter your Tijori email/password, then log in through the browser window that opens
  6. Fully quit and reopen Claude Desktop

Mac

  1. Download Node.js and install it (choose LTS)
  2. Download Claude Desktop and install it
  3. Download this repo and unzip it anywhere
  4. Double-click setup.command inside the folder — if macOS blocks it ("unidentified developer"), right-click the file and choose Open the first time
  5. Follow the prompts — enter your Tijori email/password, then log in through the browser window that opens
  6. Fully quit and reopen Claude Desktop (Cmd+Q, not just closing the window)

Linux (or any terminal)

bash
git clone https://github.com/LaZZy0v0/tijori-finance-mcp.gitcd tijori-finance-mcpnode setup.js

Follow the prompts, then fully quit and reopen Claude Desktop.


Option 2 — Manual

For those who want to see exactly what each step does.

1. Clone and set credentials

bash
# Mac / Linuxgit clone https://github.com/LaZZy0v0/tijori-finance-mcp.gitcd tijori-finance-mcpcp .env.example .env
# Windowsgit clone https://github.com/LaZZy0v0/tijori-finance-mcp.gitcd tijori-finance-mcpcopy .env.example .env

Open .env in any text editor and fill in your Tijori credentials:

env
[email protected]TIJORI_PASSWORD=yourpassword

2. Install packages and browser

bash
npm installnpx playwright install chromium

npm install downloads the Node.js dependencies. playwright install chromium downloads a ~150 MB Chromium browser used to maintain your Tijori session — one-time only.

3. Authenticate

bash
node discover.js

A browser window opens at the Tijori Finance sign-in page. Log in as you normally would. Once you're in, the script visits a few pages in the background to capture API endpoints, then the window closes automatically. Your session is saved to output/session.json.

4. Configure Claude Desktop

Find your config file and add the block below. The path to src/index.js must be absolute.

OSConfig file location
Windows%APPDATA%\Claude\claude_desktop_config.json
Mac~/Library/Application Support/Claude/claude_desktop_config.json
json
{  "mcpServers": {    "tijori-finance": {      "command": "node",      "args": ["C:/Users/yourname/tijori-finance-mcp/src/index.js"]    }  }}

5. Fully quit and reopen Claude Desktop


Test it

"Search Tata Steel using Tijori MCP"

If Claude returns a result, you're connected.


Session expiry

Tijori sessions expire periodically. When tools stop working:

bash
npm run reauth

A browser window opens — log in manually and you're back.


How it works

The server uses Playwright to maintain an authenticated browser session with Tijori Finance. Each tool navigates to the relevant page or calls the underlying API, parses the response, and returns structured JSON to Claude. Results are cached in-memory (6 hours for financials, 30 minutes for metrics) to keep things fast.

[Architecture]


Disclaimer

This project is not affiliated with Tijori Finance. It requires your own paid Tijori Finance subscription. Use for personal research only — do not redistribute the underlying data.


Built with Model Context Protocol · Data from Tijori Finance

來源:README.md,提交 64be6c4

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  1. v1.0.0最新Sep 16, 2026

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