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      AI Configuration

      Open via the AI Configuration dialog in the AI chat window. There are three tabs.


      1. AI Providers

      Connect Intent's agents to one or more LLM services. API keys are stored locally. If a key field is left blank, Intent falls back to the matching environment variable (e.g. OPENAI_API_KEY). Without any key, usage is capped by the free daily budget.

      AI Providers tab in the AI Configuration dialog

      Provider What you need
      OpenAI API key (sk-...)
      Anthropic API key (sk-ant-...); optional Max Output Tokens (blank = model default)
      Azure OpenAI API key, Endpoint URL (https://<your-resource>.openai.azure.com/), and Deployment Name of your Azure OpenAI model
      Google Gemini API key
      OpenRouter API key
      OpenAI Compatible API key, Base URL of the API, and Model name (use this for any provider with an OpenAI-compatible endpoint)
      Ollama Host URL (e.g. http://localhost:11434) and Model name; API key only if your host is behind an auth proxy

      Each provider shows a status pill: Not configured → Save Changes (after edits) → Configured.


      2. Intent MCP

      Intent Architect exposes its own MCP server, so external AI agents (Claude Desktop, Cursor, VS Code Copilot, etc.) can drive Intent. Transport is stdio.

      Intent MCP tab in the AI Configuration dialog

      To set up:

      1. Pick your AI client from the segmented selector.
      2. Copy the generated snippet and paste it into that client's MCP configuration.

      The Advanced toggle reveals the raw executable path and arguments if you need to assemble a config by hand.

      For more details on what the Intent MCP server does and how external agents use it, see Intent MCP Server.


      3. MCP Servers

      Connect external MCP servers as additional tools for this solution's coding agents. Configuration is stored per-solution in .agents/mcp.json under the solution folder.

      MCP server tools are only made available to coding context agents.

      MCP Servers tab in the AI Configuration dialog

      For each server you can configure:

      Field Notes
      Name Free-form label (e.g. filesystem)
      Transport stdio (launch a local command) or http (call a remote endpoint)
      Command (stdio) Executable to launch - e.g. npx
      Arguments (stdio) One per row
      Env vars (stdio) Key/value pairs; supports ${VAR} substitution from your environment
      URL (http) Endpoint URL
      Headers (http) Key/value pairs; supports ${VAR} substitution

      Each server has a status pill (Not tested, Testing…, Connected, Error, Disabled) and a power toggle to enable/disable it without deleting the entry. Disabled servers stay in the file but aren't loaded by agents.

      Edits are local until you click Save Changes on the entry.

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