"Technology pre-research resources" matching MCP servers:

Medicare claim documentation lookup for CPT codes against live CMS sources, returning structured requirements and document URIs with optional enrichment via RCI APIs.

Provides AI assistants with direct access to Jamf official documentation, enabling them to answer Jamf-related questions by searching, retrieving articles, and browsing product documentation.

A research MCP server for UK geospatial and statistical data, enabling AI assistants to query Ordnance Survey and ONS datasets.

A MCP Server that lets user ask AI models to discover the collection of the Metropolitan Museum of Art. Adds the discovered art works as Resources on the server.

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.

Creates Drake-style rap bars from any situation you type, and provides a complete MCP example with tools, resources, prompts, and an interactive UI widget.

Enables AI assistants to read and analyze real social posts across eight networks, research creators and trends, and generate hooks, draft scores, variants, and repurposed content.

Provides Claude with real-time access to markets, research, X/Twitter, and crypto data via a unified pay-per-call system with no API keys.

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.

An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks" who can actually research and get different perspectives!

An MCP server for rendering common ECharts visualizations from structured tool arguments, exposing per-chart opener tools that map to independent HTML app resources.

Integrates Google Gemini's capabilities—including search-grounding, image/video generation, deep research, and SVG creation—into AI assistants like Claude via the Model Context Protocol.

Integrates Agent Skills into LLMs by discovering skills in a configured directory and progressively loading their instructions and resources on demand through a structured disclosure pattern.