Eyevinn Open Source Cloud

Organization

eyevinnosc

Model Context Protocol (MCP) server for using the Eyevinn Open Source Cloud API

Publisher	eyevinnosc
Repository	`mcp-server`
Language	TypeScript
Forks	4
Stars	7
Available tools	0
Transport type	stdio
Categories	Cloud Infrastructure File Systems
License	MIT
Links	GitHub

Connect tools to AI workflows
Eyevinn Open Source Cloud exposes MCP capabilities that can be used by compatible AI clients and agents.
0 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
Open source signals
7 stars and 4 forks from the linked repository.

[DEPRECATED] Eyevinn Open Source Cloud MCP Server

This repository is deprecated. The OSC MCP server is now available as a Custom Connector using streamable HTTP with OAuth. No local installation required.

Please use the new MCP endpoint instead: https://www.osaas.io/mcp

This package (@osaas/mcp-server) is no longer maintained. All functionality has been replaced by the remote Custom Connector available at osaas.io/mcp.

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Installation

TypingMind

Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "local-mcp-osc": {
      "command": "npx",
      "args": [
        "-y",
        "@osaas/mcp-server"
      ],
      "env": {
        "OSC_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

Use Eyevinn Open Source Cloud MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Eyevinn Open Source Cloud is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

Open TypingMind in your browser.
Click the Settings icon.
Go to Advanced Settings.
Open the Model Context Protocol section.
Click Setup Connector and choose This Device.

TypingMind MCP connector setup screen with This Device selected

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

Copy the setup command shown by TypingMind.
Open Terminal on macOS or Windows Terminal on Windows.
Paste and run the command.
Approve the package install if Terminal asks you to proceed.
Keep the Terminal window running while using MCP tools.

Add Eyevinn Open Source Cloud as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

Wait until the connector status shows Ready.
Click Edit Servers.
Paste the Eyevinn Open Source Cloud MCP server configuration.
Save the server list.
Refresh if you want to confirm the connector is still ready.

TypingMind MCP settings showing active server and Edit Servers button

Use it across models

Save the server list, open Plugins, enable the Eyevinn Open Source Cloud MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

Open the Plugins page in TypingMind.
Enable the Eyevinn Open Source Cloud MCP tools.
Start a chat and choose the AI model you want to use.
Use the MCP tools in chat or assign them to an AI agent.
Switch to another AI model whenever needed without reconnecting MCP.

TypingMind chat using enabled MCP tools with a selected AI model

Frequently asked questions

What is the Eyevinn Open Source Cloud MCP server used for?

Eyevinn Open Source Cloud is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Eyevinn Open Source Cloud MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Eyevinn Open Source Cloud with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Eyevinn Open Source Cloud MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Eyevinn Open Source Cloud connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Eyevinn Open Source Cloud MCP to TypingMind?

Eyevinn Open Source Cloud runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Eyevinn Open Source Cloud MCP provide in TypingMind?

Eyevinn Open Source Cloud exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Eyevinn Open Source Cloud MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Eyevinn Open Source Cloud requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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[DEPRECATED] Eyevinn Open Source Cloud MCP Server

License

Installation

Use Eyevinn Open Source Cloud MCP with multiple AI models

Setup guide to use the local connector

Open the MCP settings

Run the connector command

Add Eyevinn Open Source Cloud as a server

Use it across models

Frequently asked questions

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