sierra-mcp-bridge
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@sierra-mcp-bridgeshow me the study values on the ES chart"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Sierra MCP Bridge
Read selected Sierra Chart study outputs from MCP clients. The bridge runs beside Sierra and offers eight read-only tools over Streamable HTTP or local stdio. It does not call a model API and needs no LLM API key.
Status: 0.1.0 alpha. One Windows/Sierra installation has demonstrated Entra OAuth, ngrok HTTPS, Windows services and authenticated ChatGPT reads across two charts. Independent installation and broader lifecycle validation are ongoing.
Features
Optional bounded chart discovery, saved exporter IDs and explicit paths.
Chart symbol/timeframe and selected study names, settings, colors and values.
Up to 200 loaded bars of history, with forming-bar status and quality warnings.
Microsoft Entra OAuth, optional ngrok exposure and optional NSSM services.
Tools: get_startup_context, list_charts, list_studies, get_snapshot,
get_study_values, get_study_history, get_footprint, get_data_health.
Related MCP server: kabu-mcp
Start here
Follow installation.
Choose connections and authentication.
Optionally configure Windows services after manual startup works.
Review data and validation limits.
New testers: first-install checklist. Development: contributing.
No account reads, order execution or persistent historical database are included. Public source code does not make a private installation anonymously accessible.
License
Project-owned code and documentation are MIT licensed; see LICENSE. External software/services retain their terms; see third-party review. Sierra Chart is not affiliated with or an endorser of this project.
This server cannot be deployed
Maintenance
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