Self-hosted gateway aggregating upstream MCP servers behind one authenticated HTTP endpoint.
GoModel is an MCP integration. Self-hosted gateway aggregating upstream MCP servers behind one authenticated HTTP endpoint.
The published oci package is docker.io/enterpilot/gomodel:0.1.102. Its declared MCP transport is streamable-http.
The package declares GOMODEL_MASTER_KEY: Gateway API key clients authenticate with; unset runs the gateway in unsafe (no-auth) mode.; MCP_SERVERS: JSON object of upstream MCP servers to aggregate, e.g. {"github":{"url":"https://api.githubcopilot.com/mcp/","headers":{"Authorization":"Bearer ${GITHUB_PAT}"}}}. Servers can also be declared in config.yaml or the admin dashboard..
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 0.1.102 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related kubernetes & containers MCP servers for tools that cover the same kind of work.
| Variable | Description | Required |
|---|---|---|
| GOMODEL_MASTER_KEY | Gateway API key clients authenticate with; unset runs the gateway in unsafe (no-auth) mode. | Check documentation |
| MCP_SERVERS | JSON object of upstream MCP servers to aggregate, e.g. {"github":{"url":"https://api.githubcopilot.com/mcp/","headers":{"Authorization":"Bearer ${GITHUB_PAT}"}}}. Servers can also be declared in config.yaml or the admin dashboard. | Check documentation |
kubectl with a conversational interface — inspect pods, read logs, diagnose clusters and manage workloads.
Container operations in conversation — inspect, run, debug and clean up Docker workloads.
Manage Docker containers and compose stacks through natural language with Claude AI.
Enables interaction with Kubernetes clusters through Model Control Protocol (MCP) tools.
Enables Claude Desktop to utilize Deepseek models running in Docker containers.
Provides natural language processing and API access to Kubernetes clusters, combining kubectl commands and the Kubernetes Python client.