Enables AI agents to access DeepLearning.AI Short Courses, including browsing catalogs, retrieving syllabi, timestamped transcripts, Jupyter labs, and searching course content via MCP.
A Model Context Protocol server that provides EigenLayer documentation to AI assistants like Claude, enabling natural language interaction with EigenLayer concepts and functionality.
Helps migrate projects from AI SDK 4.x to 5.0 by generating a migration checklist and searching the official migration guide for code and data changes.
Auto-discovers llms.txt documentation from project dependencies and exposes it to AI coding agents via MCP, enabling agents to read first-party docs without scraping or guessing.
Enables searching incidents and runbooks, retrieving incident details by URI, and creating postmortem summary prompts through MCP tools, resources, and prompts.
The Metaplex MCP Server facilitates access to Metaplex documentation and repository details, enabling users to search and interact with various Metaplex resources through the MCP protocol.
Provides a comprehensive robotics information hub with details on frameworks like ROS and Gazebo, robot types, and curated learning resources. It enables AI assistants to access offline robotics documentation and development roadmaps without external API dependencies.
Two MCP endpoints for building cognitive AI agents. /blueprint/mcp serves a 9-chapter architecture blueprint (4 tools). /devops/mcp serves a 7-chapter coding agent playbook (3 tools). Each product has its own Gumroad license key. Free chapters available without auth.
Enables MCP-compatible AI assistants to scan files and raw content for malware, prompt injection, and other threats, manage accounts and API keys, and access SDK/API documentation.
A read-only reference server for 303 curated generative art algorithms implemented in Python (py5), spanning physics, fractals, cellular automata, shaders, and more. Agents can search by keyword, visual mood (ethereal, chaotic, crystalline…), or multi-layer artistic intent to discover algorithms, read structured summaries, and fetch bounded source snippets.