aigroup-fmp-mcpUse `aigroup-fmp-mcp` for listed-equity data from Financial Modeling Prep, including quotes, company profiles, statements, ratios, sector context, and calend...
Install via ClawdBot CLI:
clawdbot install jackdark425/aigroup-fmp-mcpGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/jackdark425/aigroup-fmp-mcpAudited Apr 16, 2026 · audit v1.0
Generated Oct 6, 2026
An analyst needs to produce a comprehensive research note on a public company, including current quote, company profile, income statement, balance sheet, and key ratios. They use the MCP to pull all necessary data points, then synthesize the information into a report.
A portfolio manager wants to compare a set of competitors on metrics like margins, valuation multiples, and balance-sheet strength. The MCP is used to fetch financial statements and ratios for each peer, enabling side-by-side analysis.
A trader needs a quick snapshot of market sentiment via top gainers, losers, and most active stocks, as well as sector performance. The MCP provides these data points to inform intraday trading strategies.
An investor tracks upcoming earnings announcements and economic events to anticipate market moves. Using the MCP, they pull calendar data and combine it with analyst estimates and price targets for specific tickers.
A swing trader incorporates technical indicators like RSI, SMA, and EMA into their fundamental analysis. The MCP supplies these indicators along with price quotes, helping to time entry and exit points.
Provides access to financial data via API subscriptions, targeting financial institutions, fintech apps, and individual analysts. Revenue is generated through tiered monthly or annual plans based on API call volume and data coverage.
Offers basic financial data for free to attract users, while advanced features such as real-time quotes, technical indicators, and analyst estimates require a paid upgrade. This model drives user acquisition and upsell opportunities.
Licenses the MCP and underlying data to enterprises for integration into their own platforms, such as trading terminals or robo-advisors. Revenue comes from custom licensing agreements and usage-based fees.
💬 Integration Tip
Use the provided tool groups to fetch specific data points; always confirm ticker symbols with search_symbol before making other calls to ensure accuracy.
Scored Oct 6, 2026
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
通过 macOS Accessibility API 控制小红书(rednote)App。支持私信、评论回复、视频评论读取、搜索、点赞、收藏、作者数据等。需要 Mac + rednote App 可见 + Terminal 辅助功能权限。
AI-first security intelligence with LLM-powered intent analysis. 743+ findings from 361+ skill audits, 25 pattern rules, 22 attack classes.
OpenAMC 本地 MCP 命令调用技能。通过标准化 CLI 接口,允许 AI Agent 主动向本地 MCP Server 发送查询指令以获取全球金融数据。覆盖 A股/港股(AKShare)、美股(yfinance)、宏观经济(FRED/IMF/EconDB)、美国国会(Congress)及衍生品、外汇、大宗...
Build backend AI with Vercel AI SDK v6 stable. Covers Output API (replaces generateObject/streamObject), speech synthesis, transcription, embeddings, MCP tools with security guidance. Includes v4→v5 migration and 15 error solutions with workarounds. Use when: implementing AI SDK v5/v6, migrating versions, troubleshooting AI_APICallError, Workers startup issues, Output API errors, Gemini caching issues, Anthropic tool errors, MCP tools, or stream resumption failures.
Interact with the BNB Chain Model Context Protocol (MCP) server. Use to query DeFi data, get token prices, search documentation, fetch git diffs, and retrieve smart contract source code on BNB Chain.