Automation
tradingview-mcp
AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation
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View guide →Automate browser based workflows with AI
skyvern is an open-source automation project by Skyvern-AI (Skyvern-AI/skyvern on GitHub). It has 23,131 GitHub stars and 2,186 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 3 October 2026.
Link the services you already use through built-in integrations or generic webhooks and API calls.
Drag triggers and actions onto a canvas: when this happens, do that.
Branch on conditions, loop over items, or pipe steps through language models.
Turn the workflow on and watch executions in the run history.
A documented API lets other tools and scripts drive it programmatically.
Designed to run unattended: triggers, schedules, and webhooks.
Prebuilt connectors plus HTTP, webhooks, and database nodes.
Design automations on a canvas instead of writing glue code.
Retries, fallbacks, and alerts when steps fail.
Export, diff, and back up workflows like code.
Download the source and move into the project folder.
git clone https://github.com/Skyvern-AI/skyvern.git
cd skyvernEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Skyvern-AI/skyvern with 2,186 forks. Check the repo's contributors and recent commits to see how active maintenance is.
AGPL-3.0 — free to use, including over a network, with source-sharing obligations.
Same idea, but self-hosted with no per-task pricing.
Most flows are visual; light expressions help for advanced logic.
The core software is open-source and free to self-host; managed clouds exist if you prefer.
AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation
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