"Enterprise-level Confluence search page supporting version 9.4.11" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Deploy HTML or dist/ to a live HTTPS URL. No account. Drop, MCP, or CLI.
Deploy HTML from any agent: POST markup, get a live URL. Static hosting API with MCP tools.
Search AI capabilities across AWS Marketplace and the Official MCP Registry.
Build a landing page from your IDE chat, publish it, then manage domains and analytics.
LLM and GPU rental prices: model price lookup, GPU listings, cheapest-GPU search, price history
MCP commerce surface for compute credits, API keys, GPU instances, and cloud storage.
TitanStore provides AI agents with programmatic access to compute credits, API keys, cloud storage, and GPU capacity. Search products, manage cart, and complete purchases in a single agentic workflow. No authentication required.
The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.
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.
Manage Appwrite projects, databases, auth, storage, functions, and messaging; search Appwrite docs
Static-site hosting via MCP — ask your AI client to build a site (lands at .beam.page or your custom domain), then update it anytime, from anywhere, just by asking again.
AgentDomain MCP — Register, buy, and manage internet domains for AI agents. Search available domains across 500+ TLDs, check prices, purchase instantly via Cloudflare, manage DNS records (A, CNAME, MX, TXT), get EPP transfer codes, and handle wallet payments. 13 tools, no API key required to start — just register and go.
Custom domains for SaaS and AI agents: search, register, connect DNS, and issue HTTPS over MCP.
Cloud-hosted MCP server for secure AI access to enterprise data sources via CData Connect AI.
Governed access to enterprise SaaS tools through Averta MCP agents.
