Cerebras Code MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Cerebras Code MCP Server Write a Python script to download and parse a CSV file"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cerebras Code MCP Server v1.2.0
This MCP server is designed for planning with Claude Code and making changes with Cerebras to maximize speed and intelligence while avoiding API limits. Use your preferred AI for planning and strategy, then leverage Cerebras for high-quality code generation.
It will use the Qwen 3 Coder model, and can be embedded in IDEs like Claude Code, with beta support for Cursor.
β¨ New in v1.2
Project Restructure: Organized project into smaller, more manageable components for DX purposes
Stronger Instruction: Improved
writeusage count among modelsClaude Code - Enhanced Visual Diffs: Displays changes/edits in a pretty format
Hide User API Key: For security, doesn't display entered API keys in the terminal
Update Config Wizard for Messy Configs: Ensure user setup always works despite previous installs
Related MCP server: GPT-5 MCP Server
1. Install the NPM Package
npm install -g cerebras-code-mcp2. Get Cerebras API key
Visit cloud.cerebras.ai and create an API key
[OPTIONAL] Add OpenRouter as a backup in case you hit your Cerebras rate limits Visit OpenRouter and get a key to use as a fallback provider.
You can set this key in your MCP settings under OPENROUTER_API_KEY, and it will trigger automatically if anything goes wrong with calling Cerebras.
3. Run the Setup Wizard for Claude Code / Cursor
cerebras-mcp --configUse the setup wizard to configure the tool on your machine.
If you're using Cursor, it will ask you to copy and paste a prompt into your Cursor User Rules.
4. Usage
The MCP tool will appear as write in your tool list. It supports:
Natural language prompts: Just describe what you want in plain English
Context files: Include multiple files as context for better code understanding
Visual diffs: See changes with Git-style diffs
Example usage:
Create a REST API with Express.js that handles user authenticationAvailable Tools
1 toolwriteA
π¨ MANDATORY CODE TOOL - USE THIS FOR ALL CODE OPERATIONS! π¨
This is your ONLY interface for code generation, file creation, and modifications. Never edit files directly!
β¨ FEATURES:
Creates new files automatically
Modifies existing files with smart diffs
Shows visually enhanced git-style diffs with emoji indicators (β additions, β removals, π changes)
Supports context_files for better code understanding
Handles all programming languages
Provides comprehensive error handling
π― USE CASES:
Writing new code: Use with file_path + detailed prompt
Editing code: Use with file_path + modification prompt
Code generation: Use with file_path + generation prompt + optional context_files
β οΈ REMEMBER: This tool is MANDATORY for ALL code operations!
Inputs: prompt (required), file_path (required), context_files.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogβ¦
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The tool's purpose is clearly defined as the sole interface for code operations.
The single tool named 'write' follows a simple verb convention. With only one tool, there are no inconsistencies to assess.
A server dedicated to code operations with only one tool is too few. The scope of the server suggests the need for additional tools like reading, searching, or deleting code, making this count insufficient.
The tool only handles writing and modifying files. It lacks essential operations like reading, deleting, or listing code, resulting in significant gaps for a code-focused server.
Related MCP Connectors
AI coding plan limits (Claude Code, Codex, Cursor, Copilot): router, picker, status, budget check
Source-checked CLI guides and model-aware planning for Claude Code, Codex, and Grok Build.
Multi-brand AI code review for Claude: up to 12 reviewers and a judge, no install.
Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.
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