Awesome Hosted Cloud MCP Servers

Created By
sylviangtha year ago
A curated list of Hosted & Managed Model Context Protocol (MCP) Servers accessible via a simple URL endpoint.
Overview

What is Awesome Hosted Cloud MCP Servers?

Awesome Hosted Cloud MCP Servers is a curated list of hosted and managed Model Context Protocol (MCP) servers that can be accessed via a simple URL endpoint, enabling seamless integration of AI applications with external tools and data.

How to use Awesome Hosted Cloud MCP Servers?

Users can access the MCP servers by visiting the provided URLs, signing up for the respective services, and following the integration instructions to connect their AI applications.

Key features of Awesome Hosted Cloud MCP Servers?

  • Zero setup required for instant connection.
  • Accessibility for non-technical users.
  • Easy integration with AI applications.
  • Managed infrastructure for reliability and scalability.
  • Seamless sharing of AI agents among teams.

Use cases of Awesome Hosted Cloud MCP Servers?

  1. Integrating AI applications with various external tools and services.
  2. Enabling automation for non-technical users through simple URL access.
  3. Enhancing AI applications with powerful functions without local setup.

FAQ from Awesome Hosted Cloud MCP Servers?

  • What is the Model Context Protocol (MCP)?

MCP allows AI applications to connect to external tools and data for real-world tasks.

  • Are there any self-hosted options available?

Yes, for self-hosted options, users can refer to the repository 'awesome-mcp-servers'.

  • Is there any cost associated with using these hosted MCP servers?

The cost varies depending on the service provider; users should check individual service links for pricing details.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
sylviangth
Star
4
Language
-
License
MIT license

Recommend Servers

View All
Tavily Mcp
@tavily-ai

JavaScript
a year ago
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

16 hours ago
Voyei

6 hours ago