MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Option analytics over the SYNTH sample or a permitted chain: Greeks, positioning, payoffs, plots.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://optiondesk.avidquant.com/mcpEjecuta esto en tu terminal
claude mcp add --transport http optiondesk https://optiondesk.avidquant.com/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"optiondesk": {
"url": "https://optiondesk.avidquant.com/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"optiondesk": {
"type": "http",
"url": "https://optiondesk.avidquant.com/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
ChatGPT solo se conecta a servidores en internet:
https://optiondesk.avidquant.com/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
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Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
Quien lo publicó (avidquant.com) no es el dueño del repo (Iman); puede que otra persona lo haya listado
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 0 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (0.3.0) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo