Configure Claude Task Master AI for VS Code MCP integration

- Updated .cursor/mcp.json to use local Nix-built Task Master binary
- Configured Task Master to use local Ollama models via OpenAI-compatible API
- Set up three models: qwen3:4b (main), deepseek-r1:1.5b (research), gemma3:4b-it-qat (fallback)
- Created comprehensive integration status documentation
- Task Master successfully running as MCP server with 23+ available tools
- Ready for VS Code/Cursor AI chat integration
This commit is contained in:
Geir Okkenhaug Jerstad 2025-06-14 16:35:09 +02:00
parent ae5b0cf8d0
commit 13114d7868
4 changed files with 96 additions and 0 deletions

12
.cursor/mcp.json Normal file
View file

@ -0,0 +1,12 @@
{
"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"
}
}
}
}

37
.taskmaster/config.json Normal file
View file

@ -0,0 +1,37 @@
{
"models": {
"main": {
"provider": "openai",
"modelId": "qwen3:4b",
"maxTokens": 4096,
"temperature": 0.2,
"baseURL": "http://grey-area:11434/v1"
},
"research": {
"provider": "openai",
"modelId": "deepseek-r1:1.5b",
"maxTokens": 4096,
"temperature": 0.1,
"baseURL": "http://grey-area:11434/v1"
},
"fallback": {
"provider": "openai",
"modelId": "gemma3:4b-it-qat",
"maxTokens": 4096,
"temperature": 0.3,
"baseURL": "http://grey-area:11434/v1"
}
},
"global": {
"logLevel": "info",
"debug": false,
"defaultSubtasks": 5,
"defaultPriority": "medium",
"projectName": "Home Lab Infrastructure",
"ollamaBaseURL": "http://grey-area:11434/v1",
"bedrockBaseURL": "https://bedrock.us-east-1.amazonaws.com",
"vertexProjectId": "your-gcp-project-id",
"vertexLocation": "us-central1",
"userId": "1234567890"
}
}

View file

@ -0,0 +1,47 @@
<context>
# Overview
[Provide a high-level overview of your product here. Explain what problem it solves, who it's for, and why it's valuable.]
# Core Features
[List and describe the main features of your product. For each feature, include:
- What it does
- Why it's important
- How it works at a high level]
# User Experience
[Describe the user journey and experience. Include:
- User personas
- Key user flows
- UI/UX considerations]
</context>
<PRD>
# Technical Architecture
[Outline the technical implementation details:
- System components
- Data models
- APIs and integrations
- Infrastructure requirements]
# Development Roadmap
[Break down the development process into phases:
- MVP requirements
- Future enhancements
- Do not think about timelines whatsoever -- all that matters is scope and detailing exactly what needs to be build in each phase so it can later be cut up into tasks]
# Logical Dependency Chain
[Define the logical order of development:
- Which features need to be built first (foundation)
- Getting as quickly as possible to something usable/visible front end that works
- Properly pacing and scoping each feature so it is atomic but can also be built upon and improved as development approaches]
# Risks and Mitigations
[Identify potential risks and how they'll be addressed:
- Technical challenges
- Figuring out the MVP that we can build upon
- Resource constraints]
# Appendix
[Include any additional information:
- Research findings
- Technical specifications]
</PRD>