Search and filter by type across the catalog
61,924 results in Infrastructure, CLIs & Tools, MCPs · page 6 of 2,581
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Contributed by Sentinel
Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, enhancing, and exporting to vector databases (Weaviate, Chroma, FAISS, Qdrant). Supports 16+ target platforms.
Use to let a hosted agent reach a private-data MCP server behind your firewall (an outbound tunnel plus a proxy, with per-server OAuth) so internal tools are usable without exposing them to the public internet.
WebDriverIO-based MCP server enabling cross-browser automation (Chrome, Firefox, Safari) via the W3C WebDriver protocol, useful for enterprise test environments that mandate WebDriver over CDP.
Open-source Chrome extension that runs a multi-agent browser automation system locally. Planner, Navigator, and Validator agents collaborate inside the browser with no external API calls for web tasks.
Pure Node.js MCP server that renders and validates PlantUML diagrams with zero Java and zero external server, powered by TeaVM. Exposes render_diagram, check_syntax and diagram_explain — just run npx @plantuml/mcp-js.
Browserless.io headless browser service. It provides a Docker-deployable or cloud-hosted Chrome endpoint with REST and WebSocket APIs for screenshot, PDF, scraping, and Puppeteer/Playwright remote sessions.
Bytebot open-source computer-use agent: a Docker-based Ubuntu desktop with AI-controlled mouse and keyboard; exposes an HTTP API for agents to send click, type, screenshot, and macro commands.
Provides browser automation and semantic search capabilities through Chrome extension integration, enabling intelligent web element interaction, form filling, screenshot capture, and vector-based content indexing with transformer models for cross-platform web automation workflows.
The MCP server tools have been designed to allow an agent to query the specific information it needs to complete an assistant-ui related task - for example: implementing chat components, integrating with different runtimes, understanding component architecture, and troubleshooting issues.
Provides semantic code search and indexing using vector embeddings and AST-based code splitting, enabling natural language queries across codebases with automatic file filtering and support for multiple embedding providers and vector databases.