Retrieve systems documentation, examples, and specifications to enhance model understanding and accuracy in generating system-specific outputs. Supports the Systems MCP server.
Retrieve detailed workspace information by ID or organization and workspace name. Useful for checking settings, configurations, and status in Terraform Cloud environments.
Retrieve detailed statistics on cache systems, including hit rates, expiry times, storage usage, and performance metrics. Ideal for monitoring effectiveness, debugging issues, understanding patterns, and optimizing cache layers.
Analyze and trace code execution paths with semantic understanding, identifying data flows and dependencies to debug complex distributed systems efficiently.
Track work sessions and project activities using checkpoints grouped by date and workspace. Supports filtering by time range, scope, and workspace for standups or task reviews.
Upload files or blobs to workspace storage by specifying workspace ID, content, filename, and MIME type. Integrates with AFFiNE MCP Server for efficient workspace data management.
An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to:
Submit and validate constraint models
Set model parameters
Solve constraint satisfaction and optimization problems
Retrieve and analyze solution
Provides comprehensive natural language control over Google Workspace services including Gmail, Drive, Calendar, Docs, Sheets, Slides, Forms, Tasks, and Chat. Features multi-user OAuth 2.1 support, flexible tool tiers, and seamless integration with AI assistants.