"MCP Full Stack MVP Development Resources" matching MCP servers:

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

MCP server for searching Stack Overflow questions and retrieving answers with body content, supporting advanced filters and multiple transport types.

The complete open-source SEO data stack for AI agents, integrating Google Search Console, Google Analytics 4, Bing Webmaster Tools, and Microsoft Clarity with built-in analyst tools like cannibalization check, low-hanging fruit, and content gap analysis, all self-hosted and free.

A Model Context Protocol server that exposes Sonarr, Radarr, Lidarr, and Jellyfin to any MCP client through a curated tool layer for LLM consumption.

An MCP server that provides a unified query layer over terminology, SEO/GEO analytics, and company facts, enabling Claude Code to access and reason over data previously scattered across JSON files and reports.

This is a complete MCP (Model Context Protocol) server that implements a articles of dev.to with robust validation using TypeScript and Zod. The server integrates directly with Cursor, allowing you search articles on dev.to.

A machine-readable FOSS registry and zero-latency MCP server for AI coding agents to search free and open-source software alternatives to commercial tools, with capabilities to find replacements, get app details, and search by query.

The open Congress.gov MCP server. Provides comprehensive access to the Congress.gov API through 6 organized toolsets, enabling AI systems to retrieve and interact with legislative data from the United States Congress with a clean, unified interface.

Provides up-to-date information for Rust and Slint development by fetching real-time data from GitHub repositories, including package search, UI components, release news, and development resources with automatic caching and refresh capabilities.

Enables querying and retrieval of structured video summaries from a SQLite knowledge base through Claude or Cursor, supporting search, precise matching, and tag-based filtering.

A drop-in replacement for mcp-memory-duckdb with full concurrent access support using Redis Stack. Enables persistent knowledge graph storage with full-text search and multi-session concurrent access.

Gives AI agents live research and image generation capabilities by automating a logged-in Perplexity Pro browser session.

MCP server for searching and retrieving stock images from Unsplash, Pexels, and Pixabay, with support for concurrent searches, normalized metadata, and image downloads.

A lightweight, dependency-free MCP server that answers cited queries over a Tero corpus index.json via stdio JSON-RPC 2.0, with honest refusal semantics and no silent empty results.

A zero-config MCP server that enables web search and page content fetching via DuckDuckGo, with no API keys or setup required.

Enables AI assistants to search code summaries using Chinese business terms, with support for semantic search and PRD linkage.

Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.

Local workspace memory for Claude Desktop. Indexes documents into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph.

Provides real-time stock news search capabilities via Tavily API, allowing MCP clients to retrieve filtered and customized stock news with various search parameters.

A remote MCP server enabling semantic memory across multiple AI platforms like Perplexity Comet and Claude Desktop, with vector embeddings for intelligent retrieval.