Enhanced AI Expert Workflow MCP Server with structured conversation flow, topic tracking, and optional Task Master integration
Ai MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Enhanced AI Expert Workflow MCP Server with structured conversation flow, topic tracking, and optional Task Master integration.
An MCP (Model Context Protocol) server that implements the AI Expert Workflow using OpenRouter API for AI capabilities. This project allows you to consult with AI experts in product management, UX design, and software architecture to plan and develop your projects. It can be used standalone or with Task Master for task management (optional).
You will need 8 environment variables: OPENROUTER_API_KEY, OPENROUTER_MODEL, ANTHROPIC_API_KEY, PERPLEXITY_API_KEY, MODEL, PERPLEXITY_MODEL, DEFAULT_PRIORITY, MCP_TIMEOUT. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Installation goes through your MCP client rather than a global install: point it at ai-expert-workflow-generate on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
This sits in the planning and project tracking group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by baconnier; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Ai's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"ai-expert-workflow": {
"command": "node",
"args": ["dist/index.js"],
"cwd": "${workspaceFolder}",
"env": {
"OPENROUTER_API_KEY": "${env:OPENROUTER_API_KEY}",
"OPENROUTER_MODEL": "tngtech/deepseek-r1t-chimera:free",
"MAX_TOKENS": 4000,
"TEMPERATURE": 0.7,
"MCP_TIMEOUT": "120000",
"DEBUG": "mcp"
}
},
"taskmaster-ai": {
"command": "npx",
"args": ["-y", "task-master-ai"],
"env": {
"OPENROUTER_API_KEY": "${env:OPENROUTER_API_KEY}",
"OPENROUTER_MODEL": "openai/gpt-4-turbo",
"MAX_TOKENS": 8000,
"TEMPERATURE": 0.7,
"DEFAULT_SUBTASKS": 5,
"DEFAULT_PRIORITY": "medium"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| OPENROUTER_API_KEY | Credential the server authenticates with. | Yes |
| OPENROUTER_MODEL | Configuration value read at startup. | Optional |
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| PERPLEXITY_API_KEY | Credential the server authenticates with. | Yes |
| MODEL | Configuration value read at startup. | Optional |
| PERPLEXITY_MODEL | Configuration value read at startup. | Optional |
| DEFAULT_PRIORITY | Configuration value read at startup. | Optional |
| MCP_TIMEOUT | Configuration value read at startup. | Optional |
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