MCP Ollama Consult Server

import { BaseHandler } from './BaseHandler.js'; export class ListToolsHandler extends BaseHandler { async handle() { return { tools: [ { name: 'consult_ollama', description: 'Consult with Ollama AI models for architectural decisions, code reviews, and design discussions. Supports sequential chaining of consultations for complex multi-step reasoning.', inputSchema: { type: 'object', properties: { consultation_type: { type: 'string', enum: ['thinking', 'instruction', 'general'], description: 'Type of consultation: "thinking" (uses kimi-k2-thinking:cloud for reasoning tasks), "instruction" (uses qwen3-vl:235b-instruct-cloud for instruction-following), or "general" (uses specified model or default). If specified, overrides the model parameter.', }, model: { type: 'string', description: 'Model to use (e.g., "qwen2.5-coder:7b-cloud"). If not specified and no consultation_type, uses the first available model. Must be a cloud model (ends with :cloud or -cloud) or locally installed.', }, prompt: { type: 'string', description: 'Your question or prompt for the AI model. Can reference previous consultation results.', }, system_prompt: { type: 'string', description: 'Optional system prompt to guide model behavior', }, context: { type: 'object', description: 'Optional context including code, previous results, and metadata', properties: { code: { type: 'string', description: 'Code snippet or file content for analysis', }, language: { type: 'string', description: 'Programming language of the code', }, previous_results: { type: 'array', description: 'Results from previous consultations in the chain', items: { type: 'string' }, }, metadata: { type: 'object', description: 'Additional contextual information', }, }, }, temperature: { type: 'number', description: 'Sampling temperature (0.0-2.0, default: 0.7)', }, timeout_ms: { type: 'number', description: 'Request timeout in milliseconds (default: 60000). Increase for complex prompts with system prompts (e.g., 120000-300000 for complex reasoning)', }, }, required: ['prompt'], }, }, { name: 'list_ollama_models', description: 'List all available Ollama models on the local system (installed or cloud-based)', inputSchema: { type: 'object', properties: {}, required: [], }, }, { name: 'compare_ollama_responses', description: 'Compare responses from multiple Ollama models on the same prompt to get diverse perspectives', inputSchema: { type: 'object', properties: { models: { type: 'array', items: { type: 'string' }, description: 'List of model names to compare. If not specified, uses the first two available models.', }, prompt: { type: 'string', description: 'The prompt to send to all models', }, context: { type: 'object', description: 'Optional shared context for all models', properties: { code: { type: 'string' }, language: { type: 'string' }, metadata: { type: 'object' }, }, }, }, required: ['prompt'], }, }, { name: 'remember_context', description: 'Store context for use in future consultations within the same session', inputSchema: { type: 'object', properties: { key: { type: 'string', description: 'Identifier for this context', }, value: { type: 'string', description: 'Context data to remember', }, metadata: { type: 'object', description: 'Optional metadata about the context', }, }, required: ['key', 'value'], }, }, ], }; } } export const listToolsHandler = () => new ListToolsHandler();