Ollama 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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_local_modelsA | List all locally installed Ollama models with details |
| local_llm_chatC | Chat with a local Ollama model |
| ollama_health_checkB | Check Ollama server health and provide diagnostics |
| system_resource_checkC | Check system resources and compatibility |
| suggest_modelsB | Suggests the best locally installed model for a specific task based on user needs. |
| remove_modelC | Remove a model from local storage |
| start_ollama_serverB | Attempt to start Ollama server if it's not running |
| select_chat_modelC | Present available models and help user select one for chat |
| test_model_responsivenessC | Test the responsiveness of a specific model by sending a simple prompt. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Most tools have distinct purposes, but 'local_llm_chat' and 'select_chat_model' could cause confusion as they both relate to model selection for chatting, with some functional overlap. The other tools are clearly differentiated, such as health checks, model management, and resource monitoring.
The naming is mixed, with some tools using snake_case (e.g., 'list_local_models', 'local_llm_chat') and others using more verbose or inconsistent patterns (e.g., 'ollama_health_check', 'system_resource_check'). While readable, there is no uniform verb_noun convention, and terms like 'check' and 'test' are used interchangeably.
With 9 tools, the count is well-scoped for managing and interacting with Ollama models and servers. It covers installation, selection, testing, health, and resource checks without being overwhelming or too sparse, fitting the server's purpose effectively.
The tool set provides good coverage for model lifecycle (list, remove, test) and server management (health, start), with minor gaps such as updating models or handling advanced configurations. Core workflows like chatting and diagnostics are supported, allowing agents to perform most essential tasks.