
Coderide
@PixdataOrg
About Coderide
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
Basic information
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"
}
}
}
}Tools
6Retrieves detailed information for a specific task using its unique task number (e.g., 'CFW-123').
Updates an existing task's 'description' and/or 'status'. The task is identified by its unique 'number' (e.g., 'CFW-123'). At least one of 'description' or 'status' must be provided for an update.
Retrieves detailed information about a specific project. Search by providing either the project's unique 'slug' (three uppercase letters, e.g., 'CFW') or its 'name'. At least one of these parameters must be provided. Slug-based search is prioritized if a slug is given.
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.
Retrieves the specific instructions or prompt for a given task, identified by its unique task number (e.g., 'CFW-123'). This is typically used to understand the detailed requirements or context for an AI agent to work on the task.
Retrieves the project details (slug, name) and the prompt for the very first task of a specified project. This is useful for initiating work on a new project or understanding its starting point.
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.
FAQ from Coderide
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.
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.
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.
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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