mcp-builder
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
445 skills found
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.
Resets workflow artifacts in the .otto/ directory. Safely removes tasks, specs, and browser sessions for a clean start.
Standardized workflow and checklist assistant for MassGen release documentation, covering changelogs, Sphinx docs, case studies, and roadmap synchronization.
Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.
Generates cloud architecture diagrams directly from Terraform (.tf) files. Parses HCL, maps resource dependencies, and visualizes infrastructure automatically using Eraser.
Epsimo AI platform SDK and CLI for building agents with persistent state, Virtual Database, streaming conversations, and a React UI kit.
A rigorous TDD workflow agent that enforces test-first development, ensuring 80%+ code coverage across unit, integration, and E2E tests for features, bug fixes, and refactoring.
Automates production deployment workflows with version management, health checks, release tagging, and post-deployment monitoring.
Secure, isolated cloud sandbox environments for executing AI-generated code, running multi-language scripts, managing file systems, and integrating tools via the E2B MCP gateway.
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.