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官方说明7 个来源MCP 服务8 天前
marras0914/agent-toolbelt

marras0914/agent-toolbelt

Utility API tools for
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add agent-toolbelt -- npx -y agent-toolbelt
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · marras0914/agent-toolbelt · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 marras0914/agent-toolbelt;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Agent Toolbelt

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Stock research tools for AI agents.** Live financial data + Claude-synthesized analysis, served as 7 focused tools — not raw OHLCV. Plus 20 utility tools for the rest of an agent's work.
**Production API:** https://www.agenttoolbelt.live
---
Quickstart
Returns: bullish/neutral/bearish verdict, thesis paragraphs, key strengths, key risks, valuation read, insider read, analyst consensus read, and what to watch in the next earnings report.
---
Stock research tools (7)
LLM-synthesized analysis on top of live financial data from Polygon.io, Finnhub, and Financial Modeling Prep.
| Tool | What it does | Price |
|---|---|---|
| stock-thesis | Full Motley Fool-style investment thesis: verdict + thesis paragraphs + strengths + risks + valuation read | $0.05/call |
| earnings-analysis | EPS beat/miss history, revenue trend, long-term earnings consistency read, upcoming earnings date | $0.05/call |
| insider-signal | Form 4 interpretation — distinguishes meaningful open-market purchases from routine sales/awards. Signal strength + confidence | $0.05/call |
| valuation-snapshot | P/E, P/S, EV/EBITDA, FCF yield, ROE, margins → cheap/fair/expensive verdict + specific buy zone | $0.05/call |
| bear-vs-bull | Steelmanned 3-bull / 3-bear case with specific data, net verdict, key debate question | $0.05/call |
| compare-stocks | Head-to-head comparison of 2-3 tickers. Winner + per-ticker strengths/concerns + ifYouValue map (growth / value / quality) | $0.05/call |
| moat-analysis | Buffett-style competitive moat assessment (brand / switching costs / network / scale / IP / cost). Wide/narrow/none + durability | $0.05/call |
Every stock tool returns a dataSources block with fetchedAt + per-source success flags so you know exactly what data backed the analysis.
---
Utility tools (20)
Common agent infrastructure. Rule-based tools billed at $0.0001–$0.001/call; LLM-powered tools at $0.005–$0.10/call.
| Tool | What it does | Price |
|---|---|---|
| text-extractor | Extract emails, URLs, phones, dates, currencies, addresses, names from text | $0.0005/call |
| token-counter | Count tokens across 15 LLM models with cost estimates | $0.0001/call |
| schema-generator | JSON Schema / TypeScript / Zod validator from plain English | $0.001/call |
| csv-to-json | CSV to typed JSON with auto delimiter and type casting | $0.0005/call |
| markdown-converter | HTML ↔ Markdown conversion | $0.0005/call |
| url-metadata | Title, OG tags, favicon, author from any URL | $0.001/call |
| web-summarizer | Fetch + summarize a URL with key points | $0.02/call |
| regex-builder | Natural language → regex with JS/Python/TS snippets | $0.0005/call |
| cron-builder | Schedule description → cron expression with next-run preview | $0.0005/call |
| address-normalizer | US address → USPS format with component parsing | $0.0005/call |
| color-palette | Color palettes with WCAG scores and CSS vars | $0.0005/call |
| brand-kit | Full brand kit — colors, typography, CSS/Tailwind tokens | $0.001/call |
| image-metadata-stripper | Strip EXIF/GPS/IPTC/XMP metadata for privacy | $0.001/call |
| meeting-action-items | Action items, decisions, summary from meeting notes | $0.05/call |
来源
awesome · https://github.com/marras0914/agent-toolbelt
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