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Model Orchestration Conduit (MOC)

Interface with advanced Bitte AI services to augment application capabilities, enabling streamlined operational throughput and augmented feature sets across diverse functional domains.

Author

Model Orchestration Conduit (MOC) logo

BitteProtocol

No License

Quick Info

GitHub GitHub Stars 12
NPM Weekly Downloads 17624
Tools 1
Last Updated 2026-02-19

Tags

bitteprotocolbittemcpbitteprotocol mcptools bitteprotocolbitte ai

MOC Repository Structure

This unified repository harbors the Model Control Protocol (MCP) endpoints designed for distinct operational services.

Endpoint Access Uniform Resource Identifier (URI)

https://mcp.bitte.ai/sse

Integration within Curser Configuration

{
  "mcpServers": {
    "bitte-ai": {
      "url": "https://mcp.bitte.ai/sse"
    }
  }
}

Contained Modules

  • bitte-ai: The dedicated MCP gateway for interfacing with Bitte AI functionalities.

Initialization Procedure

To procure necessary dependencies:

bun install

Operational Workflow

This environment leverages Turborepo for overseeing the multi-package repository structure and employs Biome for maintaining code quality standards.

Comprehensive Module Compilation

bun run build

Activating All Hosted Services

bun run start

Iterative Development Mode

bun run dev

Style and Quality Assurance

bun run check
# For automated remediation:
bun run check:fix

Isolated Service Execution

# Initiate the bitte-ai specific service
bun run dev:bitte-ai

Onboarding a Novel Module

  1. Establish a new subdirectory within the packages structure.
  2. Introduce the requisite package.json, tsconfig.json, and the core implementation artifacts.
  3. Synchronize the root package.json and tsconfig.json to incorporate the newly introduced module.

This infrastructure utilizes Bun as the execution environment for JavaScript/TypeScript.

For additional observational data: Vibestreaming Logging Repository

See Also

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