"A tool or software for blending or 3D modeling" matching MCP servers:

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables Hermes agents to build and run auditable startup financial models, validate inputs, execute linked-statement scenarios, verify results, summarize outcomes, and perform sensitivity analyses through six finance tools.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Exposes 250+ financial data tools across 24 categories, letting AI assistants retrieve and analyze stock quotes, company fundamentals, financial statements, technical indicators, ETFs, crypto, forex, commodities, and economic data through the Financial Modeling Prep API. Supports dynamic or pre-loaded toolsets over HTTP/SSE, with hosted or self-hosted deployment.

Exposes 250+ tools across 24 categories for querying stocks, ETFs, crypto, forex, commodities, economics, financial statements, and market news through the Financial Modeling Prep API. Supports dynamic toolset loading, static pre-loading, or all-tools modes over HTTP/SSE for assistants like Claude.

Exposes 250+ financial data tools across 24 categories — stocks, ETFs, crypto, forex, commodities, economics, financial statements, and market news — to AI assistants over HTTP/SSE. Supports dynamic, static, or full tool loading so clients can connect via hosted instance or self-hosting with npm, Docker, or source.

Exposes 250+ tools covering stocks, ETFs, crypto, forex, commodities, economics, and SEC filings, letting AI assistants query company fundamentals, financial statements, technical indicators, and market news from the Financial Modeling Prep API. Supports dynamic or static toolset loading and can be self-hosted or used as a hosted instance over HTTP/SSE.

Enables AI assistants to query 250+ tools spanning stocks, ETFs, crypto, forex, commodities, company fundamentals, financial statements, technical indicators, news, and economic data through the Financial Modeling Prep API. Supports dynamic runtime tool loading, static toolsets, or full exposure over HTTP/SSE, whether hosted or self-hosted.

Exposes 250+ tools spanning stocks, ETFs, crypto, forex, commodities, economics, financial statements, and market news so AI assistants can retrieve and analyze financial data through the Financial Modeling Prep API. Supports dynamic runtime toolset loading, static pre-configured toolsets, and hosted or self-hosted deployment over HTTP/SSE.

Governed MCP server for bank-grade agent tool access with RBAC, PII redaction, rate limiting, and audit logging.

Enables interaction with Plaid's financial data API to sync bank transactions and retrieve account balances with secure encrypted token storage.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Enables AI assistants to access and analyze financial data including stock information, company fundamentals, and market insights through the Financial Modeling Prep API.

A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Enables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights via the Financial Modeling Prep API, with 250+ tools covering stocks, ETFs, crypto, forex, commodities, and economics.

Enables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools covering equities, ETFs, crypto, forex, commodities, economics, and more. Supports dynamic or static toolsets over HTTP/SSE for integration with MCP clients.

Enables AI assistants to access and analyze financial data, stock information, company fundamentals, market insights, and broader market datasets through a financial data API, with hundreds of tools across stocks, ETFs, crypto, forex, commodities, and economics.

Enables AI assistants to access and analyze 250+ financial data tools covering stocks, ETFs, crypto, forex, commodities, economics, and more, with runtime toolset management and hosted or self-hosted HTTP/SSE deployment.

Exposes 250+ tools across 24 categories spanning stocks, ETFs, crypto, forex, commodities, and economics, letting AI assistants query quotes, financial statements, company fundamentals, technical indicators, SEC filings, and market news. Supports dynamic runtime toolset loading, pre-loaded static toolsets, or all tools at once over HTTP/SSE, either via a hosted instance or self-hosting.

Exposes 250+ financial data tools to AI assistants across 24 categories, including stocks, ETFs, crypto, forex, commodities, economics, company fundamentals, and market insights. Supports dynamic runtime loading of toolsets along with static and all-tools modes over HTTP/SSE.

Enables AI assistants to access and analyze financial data, including stocks, ETFs, crypto, forex, commodities, economics, company fundamentals, and market insights through 250+ tools. Supports dynamic, static, or full toolset modes for flexible integration.

Enables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools spanning stocks, ETFs, crypto, forex, commodities, economics, and more.

Enables AI assistants to access and analyze stocks, ETFs, crypto, forex, commodities, economics, company fundamentals, and market insights through 250+ financial data tools. Supports dynamic toolset loading and multiple deployment modes for flexible integration.

Enables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools covering stocks, ETFs, crypto, forex, commodities, and economics.

Exposes over 250 financial data tools across stocks, ETFs, crypto, forex, commodities, and economics to AI assistants through the Model Context Protocol. Supports dynamic or static toolset loading and hosted or self-hosted HTTP/SSE connections for querying market, company, and economic information.

Enables AI assistants to query and analyze stocks, ETFs, crypto, forex, commodities, company fundamentals, financial statements, market news, and economic data through 250+ tools, with dynamic, static, or full toolset modes.

Enables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through 250+ tools spanning stocks, ETFs, crypto, forex, commodities, and economics. Supports dynamic, static, or full toolset loading over HTTP/SSE for Claude and other MCP clients.