You con either use Python with `uv` or `docker` depending on your preference.
Bicscan MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. You con either use Python with uv or docker depending on your preference.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
You will need one environment variable: BICSCAN_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the cloud and infrastructure group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by ahnlabio; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Bicscan MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Variable | Description | Required |
|---|---|---|
| BICSCAN_API_KEY | Credential the server authenticates with. | Yes |
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