ProdE

ProdE MCP Server gives AI coding assistants a deep, cross-repository understanding of your codebases. By securely connecting to your repositories, it letsCursor, Copilot, Windsurf, and other editors reason with your actual project structure, patterns, and history across multiple services, reducing hallucinations and errors and enabling smarter, context-aware prompts.

How to use

Connect your coding assistant to the ProdE MCP server to start asking questions that span your entire codebase. Once linked, you can query across multiple repositories to understand architecture, identify API definitions, map data flows, and analyze the impact of changes across services. Use your preferred tool from the supported list, then run queries or prompts as you normally would in that tool. The MCP server handles the contextual understanding and returns results and guidance tailored to your actual projects.

How to install

Prerequisites: you need a ProdE account and access to your knowledge layer of repositories.

Step 1: Sign up for ProdE and connect your git provider (GitHub and Bitbucket are supported). Authorize read-only access to your repositories.

Step 2: Add repositories to your knowledge layer by selecting the ones you want to index. ProdE will analyze and index them for contextual understanding.

Step 3: Get your MCP authentication token from the MCP Settings in your dashboard. This token is used by your coding assistant to connect to the ProdE MCP server.

Step 4: Choose your integration from the supported tools and follow the setup instructions for that tool.

Configuration and usage notes

HTTP MCP configuration (remote server) uses a URL and optional headers for authorization. A typical integration points to the code-parsing API endpoint and includes your token for authenticated access.

STDIO MCP configuration (local server) runs a small process locally that the editor communicates with via standard input/output. The common pattern is to run a small CLI command such as npx with arguments that point to the MCP entry point and pass your token in the request headers.

Examples of use cases

Cross-repository onboarding & system understanding: quickly understand authentication flows across 15+ microservices spanning frontend, backend, and mobile repos.

Cross-repository API integration discovery: locate current API definitions and usage examples across teams in one unified view.

Multi-repo impact analysis for refactoring: map all usages and dependencies of a shared utility across many repositories.

Security and access

All connections are token-based with encrypted communication to protect your code and credentials.

Available tools

get_all_repositories

Retrieve information about all repositories within your knowledge layer.

ask_specific_codebase

Ask questions about a specific repository or codebase.

ask_all_codebases

Ask questions across all connected repositories.