How do I install Motecloud?

Motecloud is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

What AI apps work with Motecloud?

Motecloud uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Motecloud MCP Server

by Motecloud

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Cloud-hosted MCP server for durable AI memory

About

Cloud-hosted MCP server for durable AI memory

Remote endpoints: streamable-http: https://motecloud.io/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). 1 code issue detected. No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

Endpoint verified · Requires authentication · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-motecloud-motecloud-mcp-server": {
      "url": "https://motecloud.io/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Motecloud MCP Server Distribution

This directory contains the public distribution metadata for the hosted Motecloud MCP server.

Registry Descriptor

server.json is the registry-ready descriptor for:

name: io.github.motecloud/motecloud-mcp-server
transport: Streamable HTTP
endpoint: https://motecloud.io/mcp
auth: OAuth 2.1 with PKCE and dynamic client registration

The descriptor follows the MCP Registry server.json format and is intended for registries such as the official MCP Registry and downstream registries that consume the same metadata, including GitHub MCP Registry surfaces.

Public Discovery Endpoints

MCP transport: https://motecloud.io/mcp
OAuth metadata: https://motecloud.io/.well-known/oauth-authorization-server
Protected resource metadata: https://motecloud.io/.well-known/oauth-protected-resource/mcp
JWKS: https://motecloud.io/.well-known/jwks.json

Publishing

The release-mcp workflow validates server.json, publishes a GitHub release, and can be used as the source artifact for registry submissions.

Official registry publishing currently uses the MCP Registry publisher flow. The expected namespace is GitHub-owned:

mcp-publisher publish packaging/mcp/server.json

The public distribution repository includes .github/workflows/publish-mcp-registry.yml, which uses GitHub Actions OIDC:

gh workflow run publish-mcp-registry.yml --repo motecloud/motecloud-mcp-server

Manual publishing is also supported with an authenticated GitHub login that can prove ownership of the motecloud organization.

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Motecloud MCP Server

About

Security Report

Findings (2)

Permissions Required

How to Connect

Documentation

Motecloud MCP Server Distribution

Registry Descriptor

Public Discovery Endpoints

Publishing

Reviews

No reviews yet

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