MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
Option analytics over the SYNTH sample or a permitted chain: Greeks, positioning, payoffs, plots.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://optiondesk.avidquant.com/mcp在终端中运行这条命令
claude mcp add --transport http optiondesk https://optiondesk.avidquant.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"optiondesk": {
"url": "https://optiondesk.avidquant.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"optiondesk": {
"type": "http",
"url": "https://optiondesk.avidquant.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://optiondesk.avidquant.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
发布者(avidquant.com)不是仓库所有者(Iman);可能是其他人代为上架的
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.3.0)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Options research with a local dashboard, agent skills, and MCP tools. Import a chain, inspect its Greeks and positioning, compare structures, and keep the results as readable files.
On this page
Guides and wiki
The dashboard brings the chain, model assumptions, and research results onto one page. These are captures of the current local dashboard with synthetic teaching inputs. They are not market observations or evidence of trading performance. Capture details distinguish the input scenario from the capture date.
Open an image for its full resolution. The complete gallery includes individual panels and charts. The dashboard guide explains how to read them.
| Positioning | Volatility |
|---|---|
| Inspect the assumed dealer exposure and chain coverage. | Compare strikes and expiries without hiding missing values. |
| Structure payoff | Two-expiry structures |
|---|---|
| Read the legs, breakevens, and limits together. | Inspect the valuation assumptions for the surviving leg. |
| Simulation | Backtest |
|---|---|
| Read the fan with the convergence diagnostics. | Read outcomes with the benchmark and model limitations. |
| Composite comparison | Contract ladder |
|---|---|
| Inspect the formula and disagreements between models. | Compare sensitivities and payoff shapes. |
Choose one route:
| Your starting point | First action | Continue with |
|---|---|---|
| I want to try it without a data account | Run the supplied sample below. | First walkthrough |
| I use Claude Code or Codex | Install the local tools, then connect the plugin. | Agent workflows |
| I have a CSV or JSON chain | Import it with its source and timestamp. | Data import |
| I want a browser-based example | Open the hosted sample. | Hosted connection |
Requirements: Git and Python 3.11 or later. Run these commands on macOS or Linux:
git clone https://github.com/Iman/agent-driven-options-desk-and-skills.git
cd agent-driven-options-desk-and-skills python3 -m venv .venv . .venv/bin/activate python -m pip install -e ./engine -e ./shell optiondesk chain SYNTH --from-file examples/chain-synth.json --accept-data-rights --out-dir artifacts/tutorial optiondesk greeks --out-dir artifacts/tutorial optiondesk exposure --out-dir artifacts/tutorial optiondesk compare --out-dir artifacts/tutorial optiondesk dashboard --out-dir artifacts/tutorial
Open http://127.0.0.1:8787 on the same computer. Select SYNTH and 2026-10-08. Press Ctrl+C in the terminal to stop the server. The result files remain in artifacts/tutorial.
The supplied sample contains 62 synthetic contracts and a fixed valuation scenario. It needs no external provider after installation. The walkthrough includes Windows activation, expected results, and the next steps. Sample provenance explains the inputs.
From a checkout, run:
./install.sh
optiondesk doctor
This installs the local tools and skills and attempts MCP registration with supported runtime CLIs it finds. Installation covers paths, flags, Docker, and removal. A plugin installation alone does not install the local calculation engine.
For an existing local provider setup, run the complete demonstration:
./run.sh --symbols SPY
The runner retrieves data, builds the research artifacts, opens a paper position, and serves the dashboard. It writes to ~/TradingDesk/option-desk-demo by default. Use --dry-run to inspect its commands. Read provider setup before enabling Yahoo access.
| Product | Installation choices |
|---|---|
| Codex | npx, manual copy, shell installer, or plugin. |
| Claude Code | npx, manual copy, shell installer, or plugin. |
| ChatGPT | Individual hosted-skill uploads where the account supports Skills, plus a separate MCP app. |
| Claude chat | Individual hosted-skill ZIPs plus a custom MCP connector. |
The installation guide includes single-skill and all-skill commands, user/project scope, ZIP preparation, and connection checks.
After connecting the local tools, ask:
Use examples/chain-synth.json, the supplied synthetic teaching sample.
I can use this file for private analysis. Save the results under artifacts/tutorial. Show its Greeks and positioning, then compare an iron condor with a straddle. State the source, missing inputs, model assumptions, and degradation first.
| What you want | Skill | Example |
|---|---|---|
| Working tools | desk-setup | Check why my MCP tools are unavailable. |
| Contract sensitivities | options-greeks | Show delta, gamma, theta, and vega from this chain. |
| Chain positioning | options-positioning | Show the gamma walls and state the dealer-sign assumption. |
| Multi-leg structures | options-strategy | Compare these structures by payoff, loss, and Greeks. |
| Forward distribution | options-simulation | Simulate the underlying from permitted history and report convergence. |
| Historical research | options-backtest | Backtest this structure and explain the benchmark and missing costs. |
The local MCP server exposes 12 tools. The hosted service supports a smaller workflow: snapshot validation, Greeks, positioning, and strategy plots. Simulation and backtests remain local workflows. See agent setup and prompts.
| Step | Action | What to inspect |
|---|---|---|
| 1. Load | Import a chain | Source, timestamp, expiry, and missing inputs. |
| 2. Inspect | Calculate Greeks and positioning. | Units, skip counts, and dealer-sign assumptions. |
| 3. Compare | Build structures | Legs, breakevens, maximum loss, and spread costs. |
| 4. Explore time | Compare two expiries | Near-expiry valuation and scan limits. |
| 5. Research history | Simulate or backtest | Convergence, benchmarks, uncertainty, and omitted costs. |
| 6. Record | Open a paper position | Plan, thesis, later marks, and unavailable quotes. |
The dashboard reads saved artifacts. It does not fetch new data when you open the page. Use the same --out-dir for related commands and the dashboard. The results guide explains how to interpret each stage.
| Guide | Purpose |
|---|---|
| User guide home | Choose a task and follow it to a result. |
| Installation reference | eight install paths for local, plugin, skills-only, hosted, and container use. |
| Dashboard tour | Read the panels and identify missing calculations. |
| Examples | Copyable commands and expected results. |
| Troubleshooting | Installation, provider, import, and chart problems. |
| FAQ | Common questions and interpretation limits. |
| Capabilities | Feature and interface catalogue. |
| Master algorithm | One pseudocode reference for skills, loops, graph routing, prompts, backtests, and paper tests. |
| Architecture | Packages, data flow, contracts, current diagrams, and preserved design references. |
| Preserved project reference | Complete earlier README, with its engineering detail, measu
只显示了开头部分;其余内容请在仓库中阅读