Navigation
MCP Server for Agent8: Enterprise Automation & Secure Scalability - MCP Implementation

MCP Server for Agent8: Enterprise Automation & Secure Scalability

Unleash Agent8's full potential: MCP Server optimizes performance, automates workflows, and secures your operations with enterprise-grade power. Smarter scalability, guaranteed.

Developer Tools
4.2(162 reviews)
243 saves
113 comments

Ranked in the top 6% of all AI tools in its category

About MCP Server for Agent8

What is MCP Server for Agent8: Enterprise Automation & Secure Scalability?

The MCP Server for Agent8 is a TypeScript-based implementation of the Model Context Protocol (MCP), designed to support development with the Agent8 SDK. Built using pnpm, it provides secure scalability through stdio and SSE communication transports. This server optimizes enterprise automation workflows by integrating prompt templates, code example search tools, and configurable logging.

How to use MCP Server for Agent8: Enterprise Automation & Secure Scalability?

Begin by installing dependencies and building the project with pnpm install && pnpm build. Configuration can be managed via command line arguments, environment variables, or a .env file. Key steps include specifying transports (stdio/sse), setting log levels, and overriding defaults with higher-priority options. For example, enabling debug mode requires adding --debug to the startup command.

MCP Server for Agent8 Features

Key Features of MCP Server for Agent8: Enterprise Automation & Secure Scalability?

  • SDK-optimized prompts: The system-prompt-for-agent8-sdk template streamlines development guidelines
  • Code search integration: Uses vector databases to retrieve relevant game development examples
  • Flexible logging: Configure destinations (file/stdout), levels (debug/error), and output formats via CLI or env vars
  • Secure database access: Requires Supabase and OpenAI API credentials for production use

Use cases of MCP Server for Agent8: Enterprise Automation & Secure Scalability?

Primary applications include:

  • Automating SDK development workflows through standardized prompts
  • Scaling real-time agent interactions via SSE websockets
  • Securing enterprise deployments with role-based database access
  • Accelerating code development through contextual example retrieval

MCP Server for Agent8 FAQ

FAQ from MCP Server for Agent8: Enterprise Automation & Secure Scalability?

Q: How do I change the logging destination?
Set LOG_DESTINATION=file and specify a path with LOG_FILE=/path/to/file.log in your .env or CLI arguments.

Q: Can I use both transports simultaneously?
No, choose either stdio (default) or sse via --transport. SSE requires specifying a port (default 3000).

Q: Where are environment variables loaded from?
Configuration priority: CLI args > .env vars > system environment > defaults. Always override with explicit CLI parameters for critical settings.

Q: What authentication is required?
Production deployments require Supabase service keys and OpenAI API credentials configured in environment variables.

Content

MCP Server for Agent8

A server implementing the Model Context Protocol (MCP) to support Agent8 SDK development. Developed with TypeScript and pnpm, supporting stdio and SSE transports.

Features

This Agent8 MCP Server implements the following MCP specification capabilities:

Prompts

  • System Prompt for Agent8 SDK : Provides optimized guidelines for Agent8 SDK development through the system-prompt-for-agent8-sdk prompt template.

Tools

  • Code Examples Search : Retrieves relevant Agent8 game development code examples from a vector database using the search_code_examples tool.

Installation

# Install dependencies
pnpm install

# Build
pnpm build

Usage

Command Line Options

# View help
pnpm start --help

# View version information
pnpm start --version

Supported options:

  • --debug: Enable debug mode
  • --transport <type>: Transport type (stdio or sse), default: stdio
  • --port <number>: Port to use for SSE transport, default: 3000
  • --log-destination <dest>: Log destination (stdout, stderr, file, none)
  • --log-file <path>: Path to log file (when log-destination is file)
  • --log-level <level>: Log level (debug, info, warn, error), default: info
  • --env-file <path>: Path to .env file

Using Environment Variables

The server supports configuration via environment variables, which can be set directly or via a .env file.

  1. Create a .env file in the project root (see .env.example for reference):
# Copy the example file
cp .env.example .env

# Edit the .env file with your settings
nano .env
  1. Run the server (it will automatically load the .env file):
pnpm start
  1. Or specify a custom path to the .env file:
pnpm start --env-file=/path/to/custom/.env

Configuration Priority

The server uses the following priority order when determining configuration values:

  1. Command line arguments (highest priority)
  2. Environment variables (from .env file or system environment)
  3. Default values (lowest priority)

This allows you to set baseline configuration in your .env file while overriding specific settings via command line arguments when needed.

Supported Environment Variables

Variable Description Default
MCP_TRANSPORT Transport type (stdio or sse) stdio
MCP_PORT Port to use for SSE transport 3000
LOG_LEVEL Log level (debug, info, warn, error) info
LOG_DESTINATION Log destination (stdout, stderr, file, none) stderr (for stdio transport), stdout (for sse transport)
LOG_FILE Path to log file (when LOG_DESTINATION is file) (none)
DEBUG Enable debug mode (true/false) false
SUPABASE_URL Supabase URL for database connection (required)
SUPABASE_SERVICE_ROLE_KEY Supabase service role key for authentication (required)
OPENAI_API_KEY OpenAI API key for AI functionality (required)

Using Stdio Transport

# Build and run
pnpm build
pnpm start --transport=stdio

Using SSE Transport

# Build and run (default port: 3000)
pnpm build
pnpm start --transport=sse --port=3000

Debug Mode

# Run in debug mode
pnpm start --debug

Available Prompts

  • systemprompt-agent8-sdk

Client Integration

Using with Claude Desktop

  1. Add the following to Claude Desktop configuration file (claude_desktop_config.json):
{
  "mcpServers": {
    "Agent8": {
      "command": "npx",
      "args": ["--yes", "agent8-mcp-server"]
    }
  }
}
  1. Restart Claude Desktop

Adding New Prompts

Add new prompts to the registerSamplePrompts method in the src/prompts/provider.ts file.

License

MIT

Related MCP Servers & Clients