local-datasource
Related Servers
Alternatives to local-datasource
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceMCP server that wraps AKShare's 1000+ financial data functions, enabling LLMs to query Chinese stock, macro, futures, fund, bond, option, forex, and alternative data through standardized tools.143Apache 2.0
- AlicenseCqualityAmaintenanceConnects AKShare's extensive financial data interfaces to the Model Context Protocol (MCP), enabling LLM clients and agents to search, describe, and call these interfaces via natural language. Provides structured JSON output, pagination, routing, and automated validation to simplify data retrieval while maintaining reliability.2100MIT
- AlicenseNot gradedqualityDmaintenanceProvides 10 financial data tools (market data, economic indicators, news, insider trades, and calendars) via a single MCP layer, enabling any MCP-compatible LLM to access diverse financial data through a unified interface.MIT
- AlicenseAqualityAmaintenanceProvides live financial data for any LLM agent, including stock quotes, crypto prices, SEC filings, XBRL financials, FX rates, and macro indicators, through ten MCP tools.1182 npm1MIT

inferventisofficial
FlicenseNot gradedqualityDmaintenanceEnables AI agents to access real-time financial data, news, and web reading through a single MCP endpoint with zero installation.1-- AlicenseCqualityDmaintenanceThe MCP provides comprehensive financial data and analytical tool support for AI large language models, specifically including the following five core data capabilities: Stock Analysis/ETF Analysis/Public Funds/News & Information/General Tools More Info: https://github.com/shenqingtech/deepq-finan4410 npm7ISC
TDQS
Scored across 16 tools
Each tool targets a distinct data domain (e.g., stocks, bonds, futures, FX, spot, rates), and descriptions clearly differentiate overlapping areas like bond vs. convertible_bond. Minor potential confusion exists between query_bond and query_convertible_bond or query_stock and query_yfinance, but the descriptions resolve these ambiguities.
The vast majority of tools follow the consistent query_<domain> pattern, making the API predictable. The single exception is align_series, which breaks the pattern but is still intuitive and clearly named.
With 16 tools, the server is slightly above the typical 3-15 range, but the count is justified by the breadth of financial and economic data sources covered. Each tool represents a meaningful asset class or data category, so the size feels deliberate rather than bloated.
The tool surface comprehensively covers the data-retrieval needs implied by a local financial datasource: equities, bonds, futures, FX, rates, spot commodities, options, ETFs, indices, and macroeconomic data. It also includes a utility tool for aligning series, avoiding a common workflow gap. No obvious dead ends or missing core operations are apparent for a read-only query server.