"JSR" matching MCP servers:

MCP server for SAP CAP that enables AI-assisted development by searching CDS model definitions and CAP documentation.

Enables agents to resolve deterministic commands and their context from a nested capability tree via MCP, returning relevant documentation without executing commands.

Model Context Protocol (MCP) server for Wiki.js with hierarchical documentation & Docker setup

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

Queries Aurum design system components, tokens, icons, Figma node IDs, and changelog via LLM clients.

Generate and render PlantUML diagrams from natural language. A pure Node.js MCP server that creates, validates and explains UML diagrams (sequence, class, activity, state, component and more) as SVG — with zero Java and zero external server. Tools: render_diagram, check_syntax, explain_diagram. Just run npx @plantuml/mcp-js.

An MCP server for Wiki.js that enables AI agents to create, read, update, search, list, and move wiki pages via the GraphQL API. It supports surgical section updates and structured content management through named sections.

A read-only MCP server that provides searchable access to the Shelby documentation bundle for MCP-compatible clients. It enables users to search, list, and read documentation pages directly within AI tools and IDEs.

A Model Context Protocol server that provides search and retrieval capabilities for JSer.info's JavaScript resource database, enabling access to items, posts, product information, and timeline data through various specialized tools.

MCP server for Wiki.js with full GraphQL API coverage, fine-grained permissions, multi-user support, and deployable on Vercel.

An MCP server for SAP CAP that provides fuzzy search over compiled CDS models and semantic search over CAP documentation, enabling AI-assisted development of CAP applications.

Provides AI assistants with comprehensive access to the Anime.js animation library, including API coverage, documentation, examples, and performance tips.