"Accessing Hevy workout tracking app data" matching MCP connectors:
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Live GPU compute & inference token price indices for AI agents — 591 reference indices across H100/A100/B200/B300 spot+on-demand, Claude/GPT/Llama token pricing, and more. Every value is methodology-versioned and citable via the /v1/verify handshake.
AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.
Video generation cost estimates across providers, with provenance, freshness, and confidence.
Publish any app in one call: SQL database, functions, email, and a custom domain. Flat price.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Free browser-based calculators and analyzers for cloud cost, DevOps, security, and data governance.
Generate cloud architecture diagrams, flowcharts, and sequence diagrams.
AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.
B2B MCP server that lets business operators launch and operate complete branded taxi / food delivery / LP gas / on-demand apps from a single conversation. Multi-tenant, OAuth 2.1, 87+ active operators across 14 LATAM countries.
Debug, build, and manage Power Automate cloud flows with AI agents
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
AI first app deployment, unlike lovable or figma make, webslop.ai lets you or your ai of choice setup node.js apps or static sites in seconds. Designed be be the perfect place for you to deploy websites and apps super fast to the rest of the world and has a generous free tier.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
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.
The cloud for agents. Tools for AI agents to register, build, and deploy other agents. Zero human required.
- pAIchart MCP HubOAuth
MCP Hub: AI service discovery, per-user OAuth, and multi-service workflow orchestration
Ask your AI assistant a cost question. Get allocation, correlation, and explanation in one response. Costory connects Claude, Codex, or Cursor to normalized cost data across AWS, GCP, Azure, Datadog, OpenAI, and Anthropic. https://costory.io