Coderide MCP Server

Model Context Protocol server for CodeRide, task management redesigned for AI

Local serverstdio

What is the Coderide MCP Server?

Model Context Protocol server for CodeRide, task management redesigned for AI

What it actually does

Imagine your AI not just writing code, but truly understanding project context, managing its own tasks, and collaborating seamlessly with you. No more endless copy-pasting or manual updates. With CodeRide MCP, your AI becomes a first-class citizen in your CodeRide workflow.

Adding it to your client

Installation goes through your MCP client rather than a global install: point it at @smithery/cli on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

Configuration

You will need one environment variable: CODERIDE_API_KEY. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

When to reach for it

Among the planning and project tracking options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Coderide MCP's toolset — get_task, update_task, get_prompt and 3 more — is a fair guide to whether it matches your workflow. It is maintained by PixdataOrg; worth a glance at recent repository activity before you build anything load-bearing on it.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.

Recorded tools

  • get_task — Retrieves detailed information about a specific task by its number (e.g., "TCA-3").
  • update_task — Updates an existing task's description, status, or other mutable fields.
  • get_prompt — Retrieves the specific prompt or instructions tailored for an AI agent to work on a given task.
  • get_project — The get_project tool exposed by this server.
  • update_project — Updates a project's high-level information, such as its knowledge graph or system architecture diagram.
  • start_project — Retrieves the first or next recommended task for a given project, allowing an AI to begin work.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
get_taskRetrieves detailed information about a specific task by its number (e.g., "TCA-3").
update_taskUpdates an existing task's description, status, or other mutable fields.
get_promptRetrieves the specific prompt or instructions tailored for an AI agent to work on a given task.
get_projectThe get_project tool exposed by this server.
update_projectUpdates a project's high-level information, such as its knowledge graph or system architecture diagram.
start_projectRetrieves the first or next recommended task for a given project, allowing an AI to begin work.

How to install the Coderide MCP Server

{
  "mcpServers": {
    "coderide": {
      "command": "npx",
      "args": ["-y", "@smithery/cli"],
      "env": {
        "CODERIDE_API_KEY": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
CODERIDE_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • “Use Coderide MCP to get task.”
  • “Use Coderide MCP to update task.”
  • “Use Coderide MCP to get prompt.”

Frequently asked questions

Model Context Protocol server for CodeRide, task management redesigned for AI Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.