"Creating native iOS and watchOS applications" matching MCP servers:

An MCP-native document research agent that provides search, summarization, and citation tools for iterative multi-step research, ending in validated structured JSON reports.

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

Provides structured dealer brand data including inventory, promotions, reviews, and dealer profile via MCP tools, enabling LLMs to answer accurate brand-related queries.

A meta-MCP server that acts as a universal gateway, allowing users to discover and execute tools from thousands of other MCP servers through semantic search. It dynamically loads servers on demand and provides standardized functions for searching, discovering, and running tools across the entire MCP ecosystem.

heroicons-mcp is a Model Context Protocol (MCP) server that exposes Heroicons. It allows LLMs and agentic applications to search, list, and generate usage examples of icons in React applications.

Enables coding agents to find real iOS app screens, user journeys, and website design systems, including colors, typography, components, and DESIGN.md files, so generated UIs resemble real products instead of AI defaults.

Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.

A utility that integrates Model Context Protocol (MCP) into Express applications, offering both stateful session management and stateless request handling options.

Agent-native developer Q&A service providing MCP tooling and A2A runtime endpoints for deep research and citations.

A self-hosted, MCP-native web-search backend for AI agents that provides meta-search, clean extraction, RAG with citations, and GitHub project selection.

Search Google and major search engines through Talordata SERP API for AI agents and RAG workflows.

Provides a shared, persistent memory layer for AI agents, enabling them to recall, memorize, and review user information across different applications.

A Python implementation of the Model Context Protocol that enables applications to provide standardized context for LLMs, allowing developers to build servers that expose data and functionality to LLM applications.

Enables MCP host applications to use configured llms.txt files and fetch documentation URLs from permitted domains through auditable tool calls.

MCP server providing tools for entity extraction, query refinement, and relevance checking to build Agentic RAG applications.

FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.

A server for the Machine Chat Protocol (MCP) that provides a YAML-based configuration system for LLM applications, allowing users to define resources, tools, and prompts without writing code.

Enables LLMs to perform semantic search and document management using ChromaDB, supporting natural language queries with intuitive similarity metrics for retrieval augmented generation applications.

Installs a NEXT-native customer persona into Claude Code, grounded in live AI customer feedback and callable via / or @.