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

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.

Enables LLMs to perform conceptual search over local PDF/EPUB documents using a RAG pipeline with corpus-driven concept extraction and WordNet enrichment.

A thin MCP server that securely enables AI agents to interact with Home Assistant, Mealie, and Nirvana via tools for automation, recipe management, and task tracking, while keeping credentials hidden.

Concept-test your product with synthetic consumers, straight from Claude Code. It turns free-text reactions from roleplayed personas into purchase-intent reports using Semantic Similarity Rating.

Verifies blockchain-anchored timestamp proofs entirely on the user's machine, with five tools: hash a file, verify a file against a proof, verify a known hash against inline proof data, explain what a proof asserts, and create a new proof through ProofLedger. Verification recomputes the SHA-256 and walks the Merkle path locally instead of asking the issuer; only create uses the network.

Provides two MCP servers: Variant Authority for managing component variant manifests and Radix Primitives for accessibility composition using Radix UI. Together they serve as the source of truth for design-to-code workflows.

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

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

MCP server that provides six verification tools (Lean proof checking, axiom audit, bound, gridlock check, certificate verification, residency check) with honest status reporting (ok/failed/unavailable) to prevent agents from claiming unchecked proofs passed.

An MCP server that scans React and Vue projects, extracts component metadata (props, slots, events, imports, usage), and exposes it to AI coding agents via structured tools.

Enables AI to precisely use local Vue components by extracting their Props, Events, and Slots via AST analysis.

Local macOS MCP servers for Mail, Calendar, Reminders, Notes, Contacts, Messages, Shortcuts, Files, Maps, and system tools. The unified Apple Tools server and individual app servers run over stdio with native macOS permissions; this is an MIT-licensed community project, unaffiliated with Apple.

Enables searching for component, function, and type usage in React/TypeScript projects.

Audits any MCP server (stdio or Streamable HTTP, legacy or modern era) with wire-level conformance, security, and behavior-regression checks, producing a fingerprinted delivery report and CI regression suite.

Enables AI tools to create and edit Font Proof documents for type designers, supporting PDF font proofs and live-reload from Glyphs.app.

A collection of Model Context Protocol implementations ranging from a minimal hello-world to an autonomous AI agent for software development.

Provides manufacturing demo data across procurement, production, quality, warehouse, and finance categories via MCP Streamable HTTP, enabling LLMs to retrieve mock datasets.

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

Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.