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Aigroup Fmp Mcp

Name: Aigroup Fmp Mcp
Author: jackdark425

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

cross-platform ✓ Security Clean

248

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Install in OpenClaw

/install aigroup-fmp-mcp

Description

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

README (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.

Usage Guidance

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.

Capability Analysis

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.

Capability Assessment

✓ 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.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install aigroup-fmp-mcp
After installation, invoke the skill by name or use /aigroup-fmp-mcp
Provide required inputs per the skill's parameter spec and get structured output

Version History

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

Metadata

Slug aigroup-fmp-mcp

Version 0.1.4

License MIT-0

All-time Installs 2

Active Installs 2

Total Versions 5

Frequently Asked Questions

What is Aigroup Fmp Mcp?

Use `aigroup-fmp-mcp` for listed-equity data from Financial Modeling Prep, including quotes, company profiles, statements, ratios, sector context, and calend... It is an AI Agent Skill for Claude Code / OpenClaw, with 248 downloads so far.

How do I install Aigroup Fmp Mcp?

Run "/install aigroup-fmp-mcp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Aigroup Fmp Mcp free?

Yes, Aigroup Fmp Mcp is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Aigroup Fmp Mcp support?

Aigroup Fmp Mcp is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Aigroup Fmp Mcp?

It is built and maintained by jackdark (@jackdark425); the current version is v0.1.4.

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