"Proof-of-concept examples for Multi-Component Processes (MCPs)" matching MCP servers:

Exposes design system component documentation to LLM clients via MCP, allowing listing and retrieving component contexts from Markdown files with YAML frontmatter.

Enables access to a local Markdown knowledge base via MCP, currently only providing a ping tool.

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

Provides read-only Model Context Protocol tools for My AskAI, enabling documentation search, filesystem queries, and pricing estimates.

Provides AI coding assistants with on-demand access to component specs, test scenarios, accessibility requirements, and build guides from the Web UI Component Specification.

Provides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Enables dynamic exploration of Angular library components by reading and analyzing the public API exports. Provides tools to list available components and retrieve detailed component information.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Enables LLMs to search and retrieve PayNow Component documentation directly, accelerating system integration through natural language queries.

Enables AI assistants to discover, understand, and generate code for NTV Scaffolding Angular components, including documentation lookup, template generation, and complete component file scaffolding.

Provides calculator tools for mathematical operations, access to TypeScript SDK documentation, and meeting summary prompt templates through both stdio and SSE transports.

Provides calculator tools for mathematical operations, document resources for accessing TypeScript SDK documentation, and prompt templates for generating structured meeting summaries. Built with FastMCP to demonstrate comprehensive MCP capabilities including tools, resources, and prompts in a single implementation.

Enables AI assistants to search and query documentation from multiple sources including Voiceflow and Claude Code, with full-text search, code examples retrieval, and step-by-step tutorials access.

Enables AI to interact with multiple Swagger/OpenAPI specifications by listing endpoints, exploring models, and generating TypeScript code. It centralizes the management of various APIs through a configuration file, allowing for seamless integration of documentation into AI workflows.

Pulls up-to-date, version-specific documentation and code examples for libraries directly into your prompt, preventing outdated or hallucinated APIs.

MCP server for see-u-ui component library, allowing AI assistants to query component props/events/slots/examples on demand.

Enables AI assistants to browse, search, and extract code examples from the public Kendo UI for Angular documentation, providing an accessible alternative to official premium MCPs.

Provides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.

Helps AI assistants access shadcn/ui component documentation and examples through a TypeScript-based MCP server that provides reference information for component details, usage examples, and search capabilities.