MCP Ollama 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 |
|---|---|
| list_modelsA | List all downloaded Ollama models |
| show_modelA | Get detailed information about a specific model |
| ask_modelA | Ask a question to a specific Ollama model |
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 3 tools
Each tool has a clearly distinct purpose with no overlap. 'ask_model' queries a model, 'list_models' enumerates available models, and 'show_model' provides metadata about a specific model. An agent can easily distinguish between these three distinct operations.
All tool names follow a consistent verb_noun pattern using snake_case. 'ask_model', 'list_models', and 'show_model' maintain perfect naming consistency throughout the set, making them predictable and readable.
With only 3 tools, the server feels somewhat thin for interacting with Ollama models. While the tools cover basic operations, additional functionality like model management (e.g., pull, delete) or conversation history would be expected for a more complete surface.
The tools provide good coverage for core Ollama interactions: querying models, listing them, and getting details. However, there are minor gaps in model management operations (e.g., pulling new models, deleting models) that agents might need to work around for full lifecycle coverage.