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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_MODENoServer mode: all, code, or toolsall
KUBECONFIGNoPath to kubeconfig file~/.kube/config
MCP_HTTP_HOSTNoHTTP bind host when MCP_TRANSPORT=http127.0.0.1
MCP_HTTP_PATHNoStreamable HTTP endpoint path/mcp
MCP_HTTP_PORTNoHTTP port when MCP_TRANSPORT=http3000
MCP_LOG_LEVELNoLog level: error, warn, info, debuginfo
MCP_TRANSPORTNoTransport: stdio (default) or httpstdio
MCP_ALLOWED_HOSTSNoComma-separated Host allowlist for HTTP modelocal defaults
MCP_HIDE_SENSITIVENoMask sensitive data globallyfalse
MCP_HTTP_STATELESSNoDisable session IDs in HTTP modefalse
MCP_ALLOWED_ORIGINSNoComma-separated Origin allowlist for HTTP mode
MCP_HTTP_JSON_RESPONSENoPrefer JSON responses over SSEfalse

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}
prompts
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
run_codeA

Execute bounded TypeScript with top-level await against progressively discovered Kubernetes capabilities. Use tools.list(), tools.search(), tools.help(), and typed namespaces; inspect tools.disabled() for policy denials. Return a value from the script. Full documentation and types are available through the code-mode prompt and file:///sys/global.d.ts.

kube_pod_execA

Execute a command in a container of a pod via the Kubernetes API (no kubectl). Captures stdout/stderr and returns them when the command completes.

Prompts

Interactive templates invoked by user choice

NameDescription
code-modeTypeScript API documentation for the run_code environment.

Resources

Contextual data attached and managed by the client

NameDescription
Global Type Definitions

TDQS

A3.9/5.0

Scored across 2 tools

Disambiguation5/5

run_code and kube_pod_exec have clearly distinct purposes: one executes TypeScript scripts against Kubernetes APIs, the other runs commands inside pod containers. There is no functional overlap, so agents should not confuse them.

Naming Consistency3/5

Both names follow a verb_noun pattern, but their styles diverge: run_code uses a bare verb and object, while kube_pod_exec uses a kube_ prefix and a more specific compound noun. This inconsistency is minor but noticeable.

Tool Count3/5

With only two tools, the server is on the thin side. However, one tool is a flexible code-execution interface, so the count might be acceptable for a narrow, specialized scope.

Completeness2/5

The server is named kubeview, yet there are no viewing or resource-list tools. run_code can potentially interact with Kubernetes capabilities, but it does not provide a direct, discoverable surface for typical read operations, leaving significant gaps for a toolset claiming to be a Kubernetes viewer.

Maintenance

ActivityMaintained
ResponsivenessNo issues