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Aigroup Fmp Mcp

Name: Aigroup Fmp Mcp
Author: jackdark425

作者 jackdark · GitHub ↗ · v0.1.4 · MIT-0

cross-platform ✓ 安全检测通过

248

总下载

当前安装

版本数

在 OpenClaw 中安装

/install aigroup-fmp-mcp

功能描述

Use `aigroup-fmp-mcp` for listed-equity data from Financial Modeling Prep, including quotes, company profiles, statements, ratios, sector context, and calend...

使用说明 (SKILL.md)

FMP MCP

Use aigroup-fmp-mcp for listed-equity quote, company profile, statement, ratio, and market snapshot requests.

Route

Confirm the company or ticker first. If the ticker is unknown or ambiguous, resolve it with search_symbol.
Pull only the fields needed for the request:
- get_quote for price context
- get_company_profile for issuer overview
- get_income_statement, get_balance_sheet, get_cash_flow for financials
- get_key_metrics and get_financial_ratios for benchmarking
Add market context only when it improves the answer:
- get_market_gainers, get_market_losers, get_most_active
- get_sector_performance
- get_sp500_constituents
Add estimate or technical context only when asked:
- get_analyst_estimates, get_price_target, get_analyst_ratings
- get_technical_indicator_rsi, get_technical_indicator_sma, get_technical_indicator_ema
State dates clearly for quotes, charts, and calendars.

Requests

Research a public company with current quote, profile, and recent financial statements.
Compare a small peer set on margins, valuation, or balance-sheet strength.
Summarize market breadth using gainers, losers, most active names, or sector performance.
Pull earnings or economic calendar context for a near-term event.
Add a quick technical read to a fundamentals-led answer.

References

Read capabilities.md for the exposed tool groups and recommended task mapping.

安全使用建议

This skill appears to be a thin instruction wrapper for an MCP-backed Financial Modeling Prep integration and is internally consistent. Before installing, verify you trust the MCP server named "aigroup-fmp-mcp" (check the GitHub homepage and the server implementation) because API keys and network requests may be handled by that server rather than the skill. Also confirm your platform enforces the declared allow_implicit_invocation: false and that no secret (FMP API key) needs to be provided to the agent in your environment. If you cannot audit the MCP service, treat it like an external data provider and limit its access to only non-sensitive queries.

功能分析

Type: OpenClaw Skill Name: aigroup-fmp-mcp Version: 0.1.4 The skill bundle is a standard integration for a Financial Modeling Prep (FMP) MCP server, providing tools for retrieving equity quotes, financial statements, and market data. All files, including SKILL.md and references/capabilities.md, contain instructions and documentation consistent with financial research tasks, with no evidence of malicious intent, data exfiltration, or prompt injection attacks.

能力评估

✓ Purpose & Capability

Name/description map to the listed tool calls (quotes, profiles, statements, ratios, market snapshots). The agent dependency (mcp value: "aigroup-fmp-mcp") is consistent with a proxied Financial Modeling Prep integration.

✓ Instruction Scope

SKILL.md only instructs the agent to confirm tickers and call specific FMP-related tool operations (get_quote, get_company_profile, etc.). It does not ask the agent to read local files, environment variables, or transmit unrelated data.

✓ Install Mechanism

No install spec and no included code files — this is instruction-only, so nothing is written to disk or downloaded during install.

ℹ Credentials

No environment variables or credentials are requested, which is coherent if the MCP server handles FMP API credentials. As a result, you should confirm you trust the MCP server (aigroup-fmp-mcp) since credentials and network calls may be managed there rather than in the skill.

✓ Persistence & Privilege

always is false and the skill does not request elevated or persistent privileges. The agents/openai.yaml sets allow_implicit_invocation: false, which limits implicit autonomous invocation for this interface.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install aigroup-fmp-mcp
安装完成后，直接呼叫该 Skill 的名称或使用 /aigroup-fmp-mcp 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v0.1.4

- Refined and clarified the skill description and documentation for improved readability. - Simplified routing instructions and field explanations in SKILL.md. - Adjusted sample request guidance to focus on technical reads, removing explicit chart mentions. - Updated references to ensure task mapping aligns with capabilities.

v0.1.3

- Added _meta.json file for enhanced metadata management. - No changes to feature set or user-facing documentation.

v0.1.2

Reduce moderation false positives with terser routing copy

v0.1.1

Tighten skill copy and add project homepage metadata

v0.1.0

Initial ClawHub release

元数据

Slug aigroup-fmp-mcp

版本 0.1.4

许可证 MIT-0

累计安装 2

当前安装数 2

历史版本数 5

常见问题

Aigroup Fmp Mcp 是什么？

Use `aigroup-fmp-mcp` for listed-equity data from Financial Modeling Prep, including quotes, company profiles, statements, ratios, sector context, and calend... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 248 次。

如何安装 Aigroup Fmp Mcp？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install aigroup-fmp-mcp」即可一键安装，无需额外配置。

Aigroup Fmp Mcp 是免费的吗？

是的，Aigroup Fmp Mcp 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Aigroup Fmp Mcp 支持哪些平台？

Aigroup Fmp Mcp 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Aigroup Fmp Mcp？

由 jackdark（@jackdark425）开发并维护，当前版本 v0.1.4。