@coderide/mcp
Advanced tools
Give your AI coding sidekick the power of CodeRide! CodeRide MCP connects your favorite AI development tools (like Cursor, Cline, Windsurf, and other MCP clients) directly to CodeRide, the AI-native task management system.
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.
npx in any MCP-compatible environment. Get your AI connected in minutes!The CodeRide MCP server provides your AI with the following capabilities:
To install Coderide MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @PixdataOrg/coderide --client claude
CodeRide MCP supports dual-mode operation for both development and production use:
Perfect for exploring features, testing integrations, or contributing to the project without needing a real CodeRide account.
How to activate: In the Smithery playground or configuration, either:
CODERIDE_API_KEY field emptymock-key, test, etc.)What you get:
For actual CodeRide users who want to integrate with their real projects and tasks.
How to activate: Provide a valid CodeRide API key that starts with CR_API_KEY_
What you get:
For non-Smithery deployments, add this configuration to your MCP client:
{
"mcpServers": {
"CodeRide": {
"command": "npx",
"args": ["-y", "@coderide/mcp"],
"env": {
"CODERIDE_API_KEY": "YOUR_CODERIDE_API_KEY_HERE"
}
}
}
}
Prerequisites:
Once configured, your MCP client will automatically connect to the CodeRide MCP server with the appropriate mode based on your configuration.
CodeRide MCP is for:
If you're looking to make your AI assistant a more productive and integrated member of your development team, CodeRide MCP is for you.
Here's a breakdown of the tools provided by CodeRide MCP and how they can be used:
get_taskRetrieves detailed information about a specific task by its number (e.g., "TCA-3").
Input Schema:
{
"number": "task-number (e.g., 'TCA-3')",
"status": "to-do|in-progress|done", // Optional: filter by status
}
Example Use Case:
get_task with arguments: { "number": "APP-101" }.update_taskUpdates an existing task's description, status, or other mutable fields.
Input Schema:
{
"number": "task-number-identifier",
"description": "updated-task-description", // Optional
"status": "to-do|in-progress|done" // Optional
}
Example Use Case:
update_task with arguments: { "number": "BUG-42", "status": "done", "description": "Fixed the off-by-one error." }.get_promptRetrieves the specific prompt or instructions tailored for an AI agent to work on a given task.
Input Schema:
{
"number": "task-number (e.g., 'TCA-3')"
}
Example Use Case:
get_prompt with arguments: { "slug": "ETF", "number": "ETF-7" }.get_projectRetrieves details about a specific project using its slug.
Input Schema:
{
"slug": "project-slug (e.g., 'TCA')",
"name": "optional-project-name" // Can also retrieve by name
}
Example Use Case:
get_project with arguments: { "slug": "omega-initiative" }.update_projectUpdates a project's high-level information, such as its knowledge graph or system architecture diagram.
Input Schema:
{
"slug": "project-slug-identifier",
"project_knowledge": { /* JSON object representing the knowledge graph */ }, // Optional
"project_diagram": "/* Mermaid diagram string or similar */" // Optional
}
Example Use Case:
update_project with arguments: { "slug": "APB", "project_diagram": "/* new mermaid diagram */" }.start_projectRetrieves the first or next recommended task for a given project, allowing an AI to begin work.
Input Schema:
{
"slug": "project-slug (e.g., 'TCA')"
}
Example Use Case:
start_project with arguments: { "slug": "MBC" }.list_projects ✨ NEWLists all projects in the user's workspace, providing an overview of available projects with intelligent workflow guidance.
Input Schema:
{
// No input required - automatically uses workspace from API key
}
Example Use Case:
list_projects with no arguments.list_tasks ✨ NEWShows all tasks within a specific project, organized by status with smart numerical sorting and workflow optimization.
Input Schema:
{
"slug": "project-slug (e.g., 'CRD')"
}
Example Use Case:
list_tasks with arguments: { "slug": "CRD" }.next_task ✨ NEWRetrieves the next task in sequence for workflow automation, perfect for continuous development flows with intelligent sequencing.
Input Schema:
{
"number": "current-task-number (e.g., 'CRD-1')"
}
Example Use Case:
next_task with arguments: { "number": "CRD-1" }.workspaceId!https://api.coderide.ai by default) with comprehensive logging and error handling for all operations.CodeRide MCP takes security seriously. We welcome responsible security research and have established a comprehensive bug bounty program with rewards ranging from €9 to €119.
For security vulnerabilities, please see our Security Policy for reporting guidelines and reward information.
npx @coderide/mcp add for easy configuration--no-open to skip browser opening, --force to show all clientsproject_list → list_projects, task_list → list_tasks)CodeRide is where AI and human developers unite to build better software, faster.
It's more than just task management; it's an AI-native platform built from the ground up to support the unique workflows of AI-assisted software development. CodeRide provides the essential structured context, project knowledge, and external memory that AI agents require to understand complex projects, contribute meaningfully, and collaborate effectively with their human counterparts.
Transform your development process with a tool that truly understands the synergy between human ingenuity and artificial intelligence.
Discover the future of software development at coderide.ai.
Connection Timeouts or MCP Error -32001:
npx -y @coderide/mcp@latestAuthentication Errors:
Tool Not Found Errors:
For additional support, please open an issue with detailed error information.
Contributions are welcome! Please feel free to submit issues, fork the repository, and create pull requests.
For security-related contributions, please see our Security Policy.
All rights reserved. See the LICENSE file for details.
@coderide/mcp? Open an issue on our GitHub repository.FAQs
Model Context Protocol server for CodeRide, task management redesigned for AI
The npm package @coderide/mcp receives a total of 49 weekly downloads. As such, @coderide/mcp popularity was classified as not popular.
We found that @coderide/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Multiple high-impact npm maintainers confirm they have been targeted in the same social engineering campaign that compromised Axios.
Security News
Axios compromise traced to social engineering, showing how attacks on maintainers can bypass controls and expose the broader software supply chain.
Security News
Node.js has paused its bug bounty program after funding ended, removing payouts for vulnerability reports but keeping its security process unchanged.