psxdata-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables querying Pakistan Stock Exchange data including market summaries, stock quotes, history, and sector breakdowns using natural language.-
- AlicenseNot gradedqualityBmaintenanceEnables Claude to fetch live Pakistan Stock Exchange data from the PSX Data Portal, including quotes, market summaries, top movers, fundamentals, price history with indicators, dividends, announcements, index constituents, sectors, and portfolio valuation. It also supports screening and comparing listed stocks by valuation, technical, sector, index, and Shariah criteria.MIT
- AlicenseAqualityCmaintenanceMCP server that exposes Pakistan Stock Exchange data (quotes, dividends, announcements, indices) as LLM-callable tools, enabling conversational market queries in plain English.929 PyPI4MIT
- AlicenseAqualityCmaintenanceEnables read-only access to market data and analytics through one vendor-neutral schema, with Alpaca built in and other providers pluggable. Large results are kept out of the model's context in a local DuckDB store the model queries with read-only SQL, and common analytics such as returns, volatility, correlation, drawdown and beta are computed on those stored results.47MIT
- AlicenseBqualityDmaintenanceEnables AI assistants and IDEs to execute SQL queries on local DuckDB databases, in-memory databases, or cloud-stored databases with support for flexible connections and configurable result limits.11MIT
- AlicenseAqualityCmaintenanceProvides live Pakistan Stock Exchange data including quotes, intraday and end-of-day history, indices, company fundamentals, dividends, and announcements via the Model Context Protocol, with no API key required.101MIT
TDQS
Scored across 11 tools
Each tool loads a distinct dataset or performs a distinct operation (prices, screener, index, sectors, fundamentals, symbols, debt, eligible scrips, query, list_tables, quote). Overlap between load_screener and quote is resolved by scope (all symbols vs single symbol) and table creation behavior. load_fundamentals explicitly clarifies it excludes valuation metrics, avoiding confusion with load_screener.
All names use snake_case, which is consistent. However, eight tools follow a load_<noun> (verb_noun) pattern, while query and quote deviate (just verb and noun), making the pattern not perfectly uniform.
11 tools are appropriate for the breadth of PSX data categories, each loading a distinct table or providing a distinct query utility. No tool appears redundant, and the count is well within the sweet spot of 3-15.
The surface covers key market data: prices, snapshots, indices, sectors, symbols, debt, and filings. However, it lacks tools for deeper fundamental data (e.g., financial statement line items) and time-series index values, which are notable gaps for advanced analysis.