A high-performance Model Context Protocol (MCP) server for comprehensive options order flow analysis. This server provides real-time options order
Most developer tooling work still happens through a UI a human drives. MCP Options Order Flow Server MCP server moves it into the conversation instead. A high-performance Model Context Protocol (MCP) server for comprehensive options order flow analysis. This server provides real-time options order flow data, pattern detection, and institutional bias analysis through an intuitive MCP.
Configuration is passed through the environment: GRPC_HOST, GRPC_PORT, GRPC_TIMEOUT, LOG_LEVEL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by fintools-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"options-flow": {
"command": "python",
"args": ["run_server.py"],
"cwd": "/path/to/mcp-options-order-flow-server",
"env": {
"GRPC_HOST": "localhost",
"GRPC_PORT": "9090"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| GRPC_HOST | Endpoint or connection string the server talks to. | Optional |
| GRPC_PORT | Configuration value read at startup. | Optional |
| GRPC_TIMEOUT | Configuration value read at startup. | Optional |
| LOG_LEVEL | Configuration value read at startup. | Optional |
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