Orchestrator MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GITHUB_TOKEN | No | GitHub Personal Access Token for GitHub server integration | |
| SLACK_APP_TOKEN | No | Slack App Token for Slack integration (if enabled) | |
| SLACK_BOT_TOKEN | No | Slack Bot Token for Slack integration (if enabled) | |
| SEMGREP_APP_TOKEN | No | Semgrep App Token for enhanced security scanning | |
| OPENROUTER_API_KEY | Yes | Your OpenRouter API key (required for AI features) | |
| OPENROUTER_MAX_TOKENS | No | Maximum tokens per request | 2000 |
| OPENROUTER_TEMPERATURE | No | Temperature for AI responses | 0.7 |
| OPENROUTER_DEFAULT_MODEL | No | Default model to use on OpenRouter | anthropic/claude-3.5-sonnet |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ai_processA | Primary AI orchestration interface - intelligently processes complex requests by automatically selecting and coordinating multiple tools. Handles file operations, git management, web search, web fetching, browser automation, security analysis, and more. Describe your goal naturally - the AI will determine the best approach and execute multi-step workflows. |
| get_infoA | System introspection - discover available capabilities, connected servers, and tool inventory. Use this to understand what the orchestrator can do before making complex requests. |
| ai_statusA | Health monitoring - check AI orchestration system status, model configuration, and capability testing results. Useful for debugging or verifying system readiness. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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