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Coderide MCP Server

@PixdataOrg

Repository

Basic information

Category

Other

Transports

stdio

Author

PixdataOrg

Submitted by

Federico Neri

About Coderide MCP Server

CodeRide eliminates the context reset cycle once and for all. Through MCP integration, it seamlessly connects to your existing AI coding workflow, enhancing how you vibe code. Once connected, CodeRide transforms your development tasks into a structured Kanban, where each task pre

#task#management#ai#coding#assistant#context#kanban

Coderide MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "coderide": {
      "command": "npx",
      "args": [
        "-y",
        "@coderide/mcp"
      ],
      "env": {
        "CODERIDE_API_KEY": "YOUR_CODERIDE_API_KEY_HERE"
      }
    }
  }
}

Coderide MCP Server tools

9

Retrieves the project details and the prompt for the very first task of a specified project using the project's unique slug (e.g., 'CRD'). This is useful for initiating work on a new project or understanding its starting point.

Retrieves the specific instructions or prompt for a given task, identified by its unique task number (e.g., 'CRD-1'). This is typically used to understand the detailed requirements or context for an AI agent to work on the task.

Retrieves detailed information for a specific task using its unique task number (e.g., 'CRD-1').

Retrieves detailed information about a specific project using its unique 'slug' (three uppercase letters, e.g., 'CRD').

Lists all projects in the user workspace. No input parameters required as the workspace is automatically determined from the API key authentication.

Lists all tasks within a project using the project slug (e.g., 'CDB'). Returns tasks organized by status columns with their order and current status.

Retrieves the next task in sequence based on the current task number (e.g., CDB-23 → CDB-24). This is useful for finding the next task that needs to be done in a project workflow.

Updates an existing task's 'description' and/or 'status'. The task is identified by its unique 'number' (e.g., 'CRD-1'). At least one of 'description' or 'status' must be provided for an update.

Updates a project's knowledge graph data and/or its structure diagram (in Mermaid.js format). The project is identified by its unique 'slug'. At least one of 'project_knowledge' or 'project_diagram' must be provided for an update to occur.

Overview

What is Coderide?

The Coderide MCP server connects AI agents to CodeRide projects and tasks, enabling structured context retrieval, task updates, and project knowledge management. It is built for developers and teams using CodeRide who want to automate project management workflows through MCP-compatible AI assistants.

How to use Coderide?

Run the server with npx in any MCP-compatible environment. Configure it with a workspace-scoped API key to authenticate and authorize access to your CodeRide data.

Key features of Coderide

  • Retrieve tasks by their unique number.
  • Update task descriptions and statuses.
  • Access tailored prompts for specific tasks.
  • Fetch project details by slug.
  • Manage project knowledge graph and architecture diagrams.
  • Initiate a project by getting its first task.

Use cases of Coderide

  • An AI assistant fetches task details to provide context for development discussions.
  • Automatically update task statuses based on build or test results.
  • Retrieve project knowledge to inform AI-generated recommendations.
  • Start a new project workflow by requesting the initial task.

Frequently asked questions

1

What does the Coderide MCP server do?

It provides AI agents with capabilities to retrieve, update, and manage CodeRide tasks and projects, enabling automated project management within MCP environments.

2

How do I set up Coderide?

Deploy it with `npx` in any MCP-compatible environment and configure it with a workspace-scoped API key for authentication.

3

How does Coderide handle authentication?

It uses workspace-scoped API key authentication, ensuring AI operations are confined to the correct project context and data integrity is maintained.

4

Where does my project data reside?

All data stays within your CodeRide workspace; the server accesses it only through the authenticated API.

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