"Houdini" matching MCP servers:

MCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.

placement for the depractaed Amazon Product Advertising endpoint. You ask Claude to find something, it searches the live Amazon catalogue, and it hands you back a finished HTML card - image, price, savings, star rating, your Associates tag already baked into the link, and the disclosure footer Amazon requires, by Houtini

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

Gemini MCP with image, video, svg, landing page generation and search. Grounded search, deep research, image generation... Having them as tools inside Claude beats switching between browser tabs.

Analyses your published writing from a sitemap, extracts a corpus, and generates a Claude Skill so Claude writes in your voice.

Enables searching Google's Knowledge Graph for real-world entities via two tools: search by query or lookup by Machine ID, returning structured data including entity types, descriptions, and URLs.

A comprehensive website crawler and SEO analyzer that stores site data in a local SQLite database for AI-driven auditing. It enables users to detect technical SEO issues, broken links, and security vulnerabilities through natural language queries or terminal commands.

Turn any careers page into a structured job feed. Straight from Claude, Cursor or any MCP client.

Provides access to Financial Modeling Prep's comprehensive financial data API, enabling real-time stock quotes, company fundamentals, financial statements, market insights, analyst data, and technical indicators directly in Claude Desktop.

Content Marketing Ideas MCP server: an editorial copilot enabling source monitoring, brief generation, voice-matched article drafting, RAG search, and WordPress publishing through natural language in Claude.

Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.

GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.

Houtini LM - LM Studio MCP Server with Expert Prompt Library and Custom Prompting - Offload tasks to LM Studio from Claude Desktop.

Lets Claude Code or any MCP client hand bounded work such as code review, boilerplate generation, commit messages, and format conversion to a local GPU model, an OpenAI-compatible cloud API, or a LiteLLM/OpenRouter router, so those files never enter the orchestrator's context window. This cuts token cost by roughly 93% on read-heavy tasks and provides a second model for reviewing code, while the main AI platform keeps the planning and judgement calls.

Enables Claude Code and other MCP clients to delegate bounded tasks such as code review, boilerplate generation, commit messages, and format conversion to a local or cloud OpenAI-compatible LLM. It keeps the main model as architect while cutting token costs by sending files and prompts straight to the second model instead of into the orchestrator's context window.

It enables Claude or any MCP client to delegate bounded tasks such as code review, boilerplate generation, commit messages, format conversion, and embeddings to local or cloud OpenAI-compatible LLMs, reducing token usage and providing a second opinion.

Enables Claude Code and other MCP clients to hand bounded work — code review, test stubs, commit messages, docs, format conversion, mock data, embeddings — to a local GPU model or a cheap cloud/OpenAI-compatible endpoint, so file contents are sent straight to that model instead of entering the main AI platform's context window. This cuts token spend dramatically while giving users a second model for reviewing code, with the orchestrating assistant still checking every result.

Enables Claude Code and other MCP clients to offload bounded work — code review, boilerplate, commit messages, format conversion, embeddings — to a local or cloud OpenAI-compatible LLM, cutting token spend by keeping large files out of the orchestrator's context. It also provides a second model for reviewing code and drafting tasks while the main assistant retains planning and QA.

Enables Claude and other MCP clients to hand off bounded work — code review, test stubs, boilerplate, commit messages, docs, format conversion, embeddings — to local or cloud OpenAI-compatible models while the main assistant keeps planning and QA. Keeps large source files out of the orchestrator's context window, cutting token costs and providing a cheap second opinion on code.

Enables Claude Code and other MCP clients to offload bounded tasks to a local or cloud LLM (LM Studio, Ollama, vLLM, LiteLLM, OpenRouter, DeepSeek, Groq, Cerebras, OpenAI) so files are read and drafted outside the orchestrator's context window, cutting token costs. It also provides a cheap second model for code review, test stubs, commit messages, format conversion, and embeddings.