62,916 results in Observability, Skills, MCPs, Evals · page 14 of 2,622
MCPsExperimental
drawio-live
Launches/connects to the visible draw.io desktop editor and edits its active graph model in real time, allowing AI agents to draw scientific figures step by step.
Haft is an MCP server that enforces engineering discipline for AI-assisted software delivery, providing tools for problem framing, decision contracts, and commission-based execution harnesses.
Integrates with ComfyUI workflows to provide text-to-image, image-to-image, and image-to-video generation capabilities through natural language interactions for creative content creation.
Enables natural language interaction with Kubernetes resources, allowing developers to manage clusters through conversational interfaces instead of complex kubectl commands.
Enables automated browser interactions for evaluating web application user experiences, capturing console logs and network requests to generate detailed usability reports and recommendations.
One-stop backend services for WeChat Mini-Programs and full-stack apps. Provides specialized MCP tools for serverless cloud functions, databases, and one-click deployment to production with China market access through WeChat ecosystem.
iwec gives AI agents structured access to your Markdown notes as a knowledge graph instead of a pile of files. Agents search, retrieve, traverse, and refactor your notes by structure and links — not blind text similarity — working from the same plain .md files you edit by hand. No database, no cloud
MCP server for the ReactUse library. Exposes 110+ React Hook signatures, examples, and API metadata so AI coding assistants can discover and use any hook from @reactuses/core directly.
MCP server for natural language to SQL conversion, enabling listing databases, connecting, inspecting schemas, and querying databases using plain English.
Empower any MCP-compatible AI Agent(MCP Client) with engineering-grade capabilities to understand, modify, run, and deliver real-world code repositories.
Source-available, self-hosted AI workflow automation platform. Build multi-agent, RAG, and tool-using pipelines on a visual canvas, then expose any workflow as an MCP server (stdio/SSE/Streamable HTTP), or call external MCP servers from the agent node.
Provides AI systems with access to documentation from llms.txt files by fetching and parsing content from specified URLs, enabling seamless documentation lookup during coding sessions.
Converts DeepWiki repositories into well-formatted Markdown, maintaining links between pages while removing headers, footers, navigation elements, and ads for clean documentation extraction.
Duckle ships its own Model Context Protocol server, so Claude can browse the full component catalog and per-component property schemas, generate a pipeline straight into a working directory you choose, validate it (compile without running), run it headlessly, read existing pipelines and their run lo