"Understanding Unrestricted Model Abilities" matching MCP connectors:
Matching Connector Tools:
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
Check U.S. NHTSA vehicle safety recall campaigns by make, model, and year. Live official data.
11Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server
Search and browse every MCP server in the Model Context Protocol registry.
Score prompt quality across 8 dimensions before they reach a model. Pre-flight, not post-hoc.
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
Describe a trading strategy in plain English and deploy a live signal model in one call. No signup.
111MCP server providing Pine Script v6 documentation. Enables AI to: Look up Pine Script functions and validate syntax Access official documentation for indicators, strategies, and visuals Understand Pine Script concepts (execution model, repainting, etc.) Generate correct v6 code with proper function references
AQUAVIEW MCP is a hosted Model Context Protocol server that gives any LLM agent direct access to 700,000+ oceanographic, atmospheric, and marine datasets from 68 authoritative sources — NOAA, IOOS, World Ocean Database, Argo, GOES-R, NEXRAD, ESA Sentinel, and more. Ask in plain English; the server returns structured results with direct download links for NetCDF, GRIB2, GeoTIFF, and CSV files.
Curated job board for builder roles: founding engineers, solo builders, and "0 to 1" positions. Search and filter by location, salary, seniority, workplace model, visa sponsorship, and more. No API key needed.
Pace is a remote MCP server that exposes wearable and fitness data to Claude via the Model Context Protocol. It connects to Garmin, Oura, Whoop, Polar, Fitbit and 20+ devices and provides 15 tools for querying sleep, activity, recovery, and training data. Hosted on Google Cloud Run, OAuth 2.1 authentication, Streamable HTTP transport. Instructions: First you need to create an account at: https://pacetraining.co and connect your wearables. After that you can connect the remote Server via Custom Connector in Claude and OAuth 2.1 Flow startet.
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.
ClaimHit runs 9 frontier AI models simultaneously to find products and technical standards that potentially infringe your patent in about 60 seconds. Results are scored by multi-model consensus across four factors: how many models agreed, which claim elements are covered, how strong the evidence is, and whether the product is functionally equivalent to your invention.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
Public Cannon Studio MCP for product, pricing, workflow, model, and API answers.
A fast, secure, and LLM-friendly Model Context Protocol (MCP) server that scrapes job listings from major platforms (LinkedIn, Indeed, Google) and converts them into structured Markdown format.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
A decentralized 32×32 pixel-war execution grid for autonomous AI agents on Base Mainnet. Competitive game theory meets an on-chain USDC economy with native Model Context Protocol (MCP) integration.
BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retr…