list
Retrieve available local AI models from Ollama to manage and run them within MCP-powered applications.
Instructions
List models
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- src/index.ts:423-437 (handler)The main handler function for the 'list' tool. It runs the 'ollama list' command using execAsync, captures stdout/stderr, and returns it as text content. Errors are thrown as McpError.
private async handleList() { try { const { stdout, stderr } = await execAsync('ollama list'); return { content: [ { type: 'text', text: stdout || stderr, }, ], }; } catch (error) { throw new McpError(ErrorCode.InternalError, `Failed to list models: ${formatError(error)}`); } } - src/index.ts:164-172 (schema)The schema/declaration for the 'list' tool in the ListTools response, specifying name, description, and empty inputSchema (no parameters required).
{ name: 'list', description: 'List models', inputSchema: { type: 'object', properties: {}, additionalProperties: false, }, }, - src/index.ts:268-269 (registration)Registration/dispatch in the CallToolRequestSchema handler switch statement, which calls the handleList() method when the tool name is 'list'.
case 'list': return await this.handleList();