LibreModel MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| chatC | Have a conversation with LibreModel (Gigi) |
| quick_testB | Run a quick test to see if LibreModel is responding |
| health_checkB | Check if the llama-server is running and responsive |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| config | Current server configuration and settings |
| instructions | How to use this MCP server with LibreModel |
TDQS
Scored across 3 tools
The tools have overlapping purposes that could cause confusion. 'chat' and 'quick_test' both involve interacting with LibreModel to check responsiveness, making them ambiguous. 'health_check' is more distinct but still overlaps in verifying server status.
The naming follows a consistent snake_case pattern across all tools, which is clear and readable. However, the verb styles are mixed ('chat' is a noun-like verb, 'health_check' and 'quick_test' are noun-based), slightly reducing consistency.
With only 3 tools, the set feels thin for a model server, lacking essential operations like model loading, configuration, or inference control. This minimal count suggests an incomplete surface for the domain.
The tool set is severely incomplete for a model server. There are no tools for core functions such as loading models, managing sessions, adjusting parameters, or handling inputs/outputs beyond basic chat and health checks, leaving significant gaps.