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Glama
Korck-lab
by Korck-lab

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DEEPSEEK_MODELNoDefault model for chat.deepseek-chat
DEEPSEEK_API_KEYYesRequired. DeepSeek API key.
DEEPSEEK_BASE_URLNoAPI base URL.https://api.deepseek.com
HARNESS_CMD_CODEXNoHeadless command for codex host, e.g. 'codex exec --skip-git-repo-check'.
HARNESS_CMD_CLAUDENoHeadless command for claude host, e.g. 'claude -p'.
HARNESS_ALLOW_HOSTSNoComma-separated hosts the bridge may drive. Empty = locked.
HARNESS_CMD_OPENCODENoHeadless command for opencode host, e.g. 'script -q /dev/null opencode run'.

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
chatA

Send a chat completion request to DeepSeek. Accepts an OpenAI-style message list and returns the assistant's reply text.

list_modelsA

List models available on the DeepSeek API.

list_harnessesA

List harness hosts the bridge can drive (from HARNESS_ALLOW_HOSTS / HARNESS_CMD_* config) with their commands.

use_harnessA

Run a prompt in a headless host CLI (claude -p, codex exec, opencode run, ...). Lets the DeepSeek model drive local agents, skills, plugins, and MCP tools configured on that host. Host must be in HARNESS_ALLOW_HOSTS.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.9/5.0

Scored across 4 tools

Disambiguation4/5

chat and use_harness both send prompts, but one targets the DeepSeek API and the other targets local harness CLIs, which is clearly distinguished in descriptions. list_models and list_harnesses are distinct list operations for different resources.

Naming Consistency5/5

All tool names follow a clear verb style: chat, list_models, list_harnesses, use_harness. The naming is consistent and predictable, with list_* for listing operations and direct verbs for actions.

Tool Count5/5

Four tools is well-scoped for a bridge server that provides chat completion, model listing, and harness control. Each tool serves a distinct purpose without redundancy.

Completeness4/5

The core workflow of sending prompts and listing models/harnesses is covered. A minor gap is lack of streaming or more detailed model/harness management, but the essential lifecycle for the stated purpose is present.

Maintenance

ActivitySlowing
ResponsivenessNo issues