What is CodeRide MCP?

CodeRide MCP (Model Context Protocol) is a server that connects AI development tools (like Cursor, Cline, Windsurf) to CodeRide, an AI-native task management system. It allows AI agents to understand project context, manage tasks, and collaborate effectively.

How does CodeRide MCP improve AI coding assistants?

It equips AI agents with rich, structured context from CodeRide projects, automates task management, bridges the gap between human and AI developers, optimizes for LLM efficiency, and ensures secure operation.

What are the core capabilities of CodeRide MCP?

Task Retrieval, Task Updates, Prompt Access, Project Details, Project Knowledge Management, and Project Initiation.

What is the Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to LLMs, allowing AI models to access and interact with external data sources and tools.

How do I install CodeRide MCP?

You can install it via Smithery using npx -y @smithery/cli install @PixdataOrg/coderide --client claude or manually by configuring your MCP client (e.g., Claude Desktop, Cursor, VS Code settings) with the necessary command and environment variables.

What prerequisites are required to use CodeRide MCP?

Node.js, npm, a CodeRide account, and an API key from your CodeRide workspace.

How do I configure my MCP client to use CodeRide MCP?

Add a configuration block to your MCP client’s settings (e.g., claude_desktop_config.json) with the command to run CodeRide MCP and set the CODERIDE_API_KEY environment variable.

What is the purpose of the CodeRide API key?

The API key authenticates your AI agent with CodeRide, ensuring that all operations are authorized and confined to your workspace.

What are the available tools provided by CodeRide MCP?

get_task, update_task, get_prompt, get_project, update_project, and start_project.

How can I use the get_task tool?

Call get_task with the task number (e.g., “TCA-3”) to retrieve detailed information about the task.

How can I update a task using CodeRide MCP?

Use the update_task tool, providing the task number and the fields you want to update (e.g., description, status).

How does CodeRide MCP optimize LLM efficiency?

By returning compact JSON responses, minimizing token usage for LLM communication.

What is the significance of workspace-centered authentication?

It ensures that API keys are tied to specific workspaces, simplifying requests and enhancing security without needing to pass workspaceId.

Who is CodeRide MCP for?

Developers using AI coding assistants, teams adopting AI-driven development, and anyone building with MCP.

How do user-friendly identifiers simplify task management?

By allowing interaction with tasks and projects using human-readable numbers and slugs instead of internal UUIDs.

What is CodeRide?

CodeRide is an AI-native platform designed to support the workflows of AI-assisted software development. It provides structured context, project knowledge, and external memory that AI agents require.

How does CodeRide integrate with UBOS?

CodeRide MCP integrates with UBOS by allowing AI agents to connect to CodeRide’s task management system, creating a synergy that streamlines development workflows and maximizes productivity.