fix: resolve Taskmaster AI MCP integration with local Ollama models

- Fix provider configuration from 'openai' to 'ollama' in .taskmaster/config.json
- Remove conflicting MCP configurations (.cursor/mcp.json, packages/.cursor/mcp.json)
- Standardize on single .vscode/mcp.json configuration for VS Code
- Update environment variables for proper Ollama integration
- Add .env.taskmaster for easy environment setup
- Verify AI functionality: task creation, expansion, and research working
- All models (qwen2.5-coder:7b, deepseek-r1:7b, llama3.1:8b) operational
- Cost: /run/current-system/sw/bin/zsh (using local Ollama server at grey-area:11434)

Resolves configuration conflicts and enables full AI-powered task management
with local models instead of external API dependencies.

.cursor/mcp.json

@@ -1,12 +0,0 @@
-{
-    "mcpServers": {
-        "task-master-ai": {
-            "command": "/home/geir/Home-lab/result/bin/task-master-ai",
-            "args": [],
-            "env": {
-                "OPENAI_API_KEY": "fake-key-for-local-ollama",
-                "OPENAI_BASE_URL": "http://grey-area:11434/v1"
-            }
-        }
-    }
-}

.env.taskmaster

@@ -0,0 +1,14 @@
+# Taskmaster AI Environment Variables
+# Source this file to set up Ollama integration for taskmaster
+export OPENAI_API_BASE="http://grey-area:11434/v1"
+export OPENAI_API_KEY="ollama"
+export OPENAI_BASE_URL="http://grey-area:11434/v1"
+export OLLAMA_BASE_URL="http://grey-area:11434/api"
+export MODEL="qwen2.5-coder:7b"
+export RESEARCH_MODEL="deepseek-r1:7b"
+export FALLBACK_MODEL="llama3.1:8b"
+export MAX_TOKENS="8192"
+export TEMPERATURE="0.3"
+
+echo "✅ Taskmaster AI environment variables loaded"
+echo "🤖 Using Ollama models at grey-area:11434"

.taskmaster/config.json

@@ -1,20 +1,20 @@
 {
   "models": {
     "main": {
-      "provider": "anthropic",
-      "modelId": "claude-3-7-sonnet-20250219",
-      "maxTokens": 120000,
-      "temperature": 0.2
+      "provider": "ollama",
+      "modelId": "qwen2.5-coder:7b",
+      "maxTokens": 8192,
+      "temperature": 0.3
     },
     "research": {
-      "provider": "perplexity",
-      "modelId": "sonar-pro",
-      "maxTokens": 8700,
+      "provider": "ollama",
+      "modelId": "deepseek-r1:7b",
+      "maxTokens": 8192,
       "temperature": 0.1
     },
     "fallback": {
-      "provider": "anthropic",
-      "modelId": "claude-3-5-sonnet-20240620",
+      "provider": "ollama",
+      "modelId": "llama3.1:8b",
       "maxTokens": 8192,
       "temperature": 0.1
     }
@@ -25,7 +25,8 @@
     "defaultSubtasks": 5,
     "defaultPriority": "medium",
     "projectName": "Taskmaster",
-    "ollamaBaseURL": "http://localhost:11434/api",
+    "ollamaBaseURL": "http://grey-area:11434/api",
+    "openaiBaseURL": "http://grey-area:11434/v1",
     "bedrockBaseURL": "https://bedrock.us-east-1.amazonaws.com",
     "defaultTag": "master",
     "azureOpenaiBaseURL": "https://your-endpoint.openai.azure.com/",

packages/.cursor/mcp.json

@@ -1,23 +0,0 @@
-{
-    "mcpServers": {
-        "task-master-ai": {
-            "command": "npx",
-            "args": [
-                "-y",
-                "--package=task-master-ai",
-                "task-master-ai"
-            ],
-            "env": {
-                "ANTHROPIC_API_KEY": "ANTHROPIC_API_KEY_HERE",
-                "PERPLEXITY_API_KEY": "PERPLEXITY_API_KEY_HERE",
-                "OPENAI_API_KEY": "OPENAI_API_KEY_HERE",
-                "GOOGLE_API_KEY": "GOOGLE_API_KEY_HERE",
-                "XAI_API_KEY": "XAI_API_KEY_HERE",
-                "OPENROUTER_API_KEY": "OPENROUTER_API_KEY_HERE",
-                "MISTRAL_API_KEY": "MISTRAL_API_KEY_HERE",
-                "AZURE_OPENAI_API_KEY": "AZURE_OPENAI_API_KEY_HERE",
-                "OLLAMA_API_KEY": "OLLAMA_API_KEY_HERE"
-            }
-        }
-    }
-}