fipiran-mcp
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- AlicenseAqualityAmaintenanceEnables AI agents to read Tehran Stock Exchange and Iran Fara Bourse market data—quotes, top movers, order books, price history, sector indices, and real vs legal trading—through read-only tools. Requires no API key, returning compact JSON in Rial directly to Claude, Cursor, or Copilot.879 PyPI3MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to read Tehran Stock Exchange data through Mofid and Agah brokers, including stocks, ETFs and funds, options, bonds and sukuk, gold and coin prices, screeners, and Codal announcements without an API key or broker account.MIT
- AlicenseAqualityBmaintenanceEnables AI agents to query public Iran Fara Bourse data read-only, including bond, sukuk and treasury bill yields, instrument and coupon details, live quotes and order books, IPOs, announcements, news and market statistics.16MIT
- AlicenseAqualityBmaintenanceEnables AI agents to read official Central Bank of Iran data through 11 read-only tools: historical exchange rates for ~48 currencies, inflation, weekly interbank and policy rates, news, liquidity, monthly statistics tables, sukuk auctions and open market operations, with no API key required. Text is Persian, dates accept Jalali or Gregorian, and output is compact JSON.11MIT
- AlicenseAqualityBmaintenanceEnables AI agents to search and read Iranian listed companies’ Codal disclosures, including financial statements, EPS and monthly activity reports as tables, meeting decisions, and PDF/Excel links, plus company and fiscal-year lookups.57MIT
- AlicenseAqualityBmaintenanceGives AI agents read-only access to the public trade and supply data of the Iran Mercantile Exchange, covering commodity trades, upcoming supply offers, daily price series, market totals, options, certificates, rankings, news and weekly reports. Requires no API key or account, and works in Claude, Cursor, Copilot and any other MCP client.14MIT
TDQS
Scored across 11 tools
Most tools are cleanly separated by resource and granularity (fp_search_funds vs fp_fund, fp_stocks vs fp_stock, fp_indices vs fp_index_history), and descriptions explicitly cross-reference each other's chaining roles. The only real friction is fp_indices vs fp_industries, which both rank stock-market industries but by different metrics (return vs traded value) — descriptions disambiguate, but the names alone do not.
A consistent fp_ prefix with snake_case throughout, and singular/plural pairs are used meaningfully (fp_fund/fp_stocks, fp_index_history). Minor deviation: most names are plain resource nouns while a few use a verb modifier (fp_search_funds, fp_compare), so the pattern is not perfectly uniform but remains highly predictable.
11 tools is well within the ideal range and each one maps to a distinct query shape: fund discovery, fund detail, time series, comparison, manager ranking, index market overview, index history, stock screening, stock quote, industry ranking. No redundant or filler tools.
The read-only market-data domain is covered end to end: funds (types, search, detail, history, compare, managers), indices (summary and history), stocks (screen and quote with optional OHLC history) and industries. Gaps are minor — no direct fund-side dividend or NAV-metric query beyond fp_history, no cross-asset comparison, and industry-to-index linkage only works implicitly via fp_indices(query=...).