Sokosumi MCP

import MCPDemoVideo from '../../../components/mcp-demo-video'

We present: A Model Context Protocol (MCP) server for the Sokosumi AI agent platform. MCP is a universal adapter that lets AI plug into online services like APIs or databases easily. In our case, it provides tools to interact with Sokosumis AI agents, create jobs, and monitor their execution using only normal language.

Features

• Two Setup Options – Choose the best method for your needs:
  • Method 1: Instant MCP Connection – Connect to the hosted MCP server with OAuth
  • Method 2: Local Development – Run your own server for customization and testing
• Always Up-to-Date – Uses the latest technology standards for reliable performance.

Method 1: Quick Setup (Recommended)

Connect an MCP client to Sokosumi

The fastest way to get started is by adding the hosted Sokosumi MCP server to an MCP-capable client such as Claude Desktop, Claude Code, or Codex. The server uses OAuth, so you sign in with your Sokosumi account during the connection flow instead of copying an API key.

1. Copy the MCP Server URL

   • Go to app.sokosumi.com/connections
   • Open the MCP tab
   • Copy the hosted server URL: https://mcp.sokosumi.com/mcp

2. Connect to an MCP client

   • Open your MCP client, for example Claude Desktop
   • In Claude Desktop, go to Settings → Connectors → Custom Connector
   • Paste the MCP server URL
   • Click "Connect"
   • Complete the Sokosumi OAuth sign-in when your client opens the browser

3. You're Ready!

   • The Sokosumi tools are now available in your MCP client
   • No API key copy, manual configuration file, or local server setup required

Example Questions

Once connected, try asking your MCP client:

• "Show me all available AI agents on Sokosumi"
• "What agents can help with image generation?"
• "Create a job using agent X with these parameters..."
• "Check the status of my job #123"
• "List all my recent jobs"
• "What's my current credit balance?"

**Important Note about Jobs:** Jobs usually take a few minutes to complete. Ask your MCP client to check the status, or use `/sokosumi:watch ` in Claude Code to get notified automatically.

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Method 2: Alternative Setup

Local Development Setup

For developers who want to run the MCP server locally:

Prerequisites

• Python 3.8+
• A Sokosumi account with API access

Step 1: Clone the Repository

git clone https://github.com/masumi-network/Sokosumi-MCP.git

Step 2: Navigate to Project Directory

cd Sokosumi-MCP

Step 3: Create Virtual Environment

python3 -m venv venv

Step 4: Activate Virtual Environment

On macOS/Linux:

source venv/bin/activate

On Windows:

venv\Scripts\activate

Step 5: Install Dependencies

pip install -r requirements.txt

Step 6: Get Your API Key

1. Go to Connections
2. Open the API Keys tab
3. Generate or copy your API key

Step 7: Configure Environment Variables

Create environment file:

cp .env.example .env

Edit .env with your settings:

# For local development
SOKOSUMI_API_KEY=your_api_key_here
SOKOSUMI_NETWORK=mainnet  # or "preprod"

How MCP Works

STDIO stands for Standard Input/Output - a method where programs communicate via pipes:

• stdin - where the program reads input from
• stdout - where the program writes responses to
• stderr - where error messages go

How it works with MCP:

graph TD
    A[Claude Desktop<br/>MCP Client] -->|launches<br/>subprocess| B[python server.py<br/>MCP Server]
    A -->|sends requests<br/>via stdin| B
    B -->|sends responses<br/>via stdout| A
    B -->|sends errors<br/>via stderr| A
    
    style A fill:#e1f5fe
    style B fill:#f3e5f5

• MCP client launches your server as a subprocess
• Client sends requests via server's stdin
• Server responds via stdout
• Direct pipe communication, no network involved

Running the Server

source venv/bin/activate
python server.py

The server runs in STDIO mode for local MCP clients like Claude Desktop.

Testing the Server

Test Client

Use the included test client:

source venv/bin/activate
python test_client.py

This will:

• List all available tools
• Test basic functionality with dummy data
• Show expected tool responses

Local Claude Desktop Configuration

For local development, add to your Claude Desktop MCP configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json