Cursor
Desktop · Freemium · Proprietary
The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.
Version Control · Developer Tools
Yellhorn MCP
msnidal/yellhorn-mcp
Yellhorn MCP is a Model Context Protocol server that provides full codebase context support for code assistants by integrating Gemini and OpenAI capabilities, enabling development task planning, code review and isolated environment creation.
Install
Client configuration
{
"mcpServers": {
"yellhorn-mcp": {
"command": "uv",
"args": [
"run",
"yellhorn-mcp"
],
"env": {
"GEMINI_API_KEY": "<GEMINI_API_KEY>",
"REPO_PATH": "<REPO_PATH>"
}
}
}
}Environment variables
GEMINI_API_KEYREPO_PATHYELLHORN_MCP_SEARCH- GitHub stars
- 3
- Author
- @msnidal
- Category
- Version Control, Developer Tools
- License
- MIT
- Updated
- Oct 6, 2026
About Yellhorn MCP
A Model Context Protocol (MCP) server that provides functionality to create detailed workplans to implement a task or feature. These workplans are generated with a large, powerful model (such as gemini 2.5 pro or even the o3 deep research API), insert your entire codebase into the context window by default, and can also access URL context and do web search depending on the model used. This pattern of creating workplans using a powerful reasoning model is highly useful for defining work to be done by code assistants like Claude Code or other MCP compatible coding agents, as well as providing a reference to reviewing the output of such coding models and ensure they meet the exactly specified original requirements.
Features
Create Workplans: Creates detailed implementation plans based on a prompt and taking into consideration your entire codebase, posting them as GitHub issues and exposing them as MCP resources for your…
Judge Code Diffs: Provides a tool to evaluate git diffs against the original workplan with full codebase context and provides detailed feedback, ensuring the implementation does not deviate from the…
Seamless GitHub Integration: Automatically creates labeled issues, posts judgement sub-issues with references to original workplan issues
Context Control: Use.yellhornignore files to exclude specific files and directories from the AI context, similar to.gitignore
MCP Resources: Exposes workplans as standard MCP resources for easy listing and retrieval
Google Search Grounding: Enabled by default for Gemini models, providing search capabilities with automatically formatted citations in Markdown
Automatic Chunking: Handles large codebases that exceed model context limits by intelligently splitting prompts
Rate Limit Handling: Robust retry logic with exponential backoff for rate limits and transient failures
Cost Tracking: Real-time cost estimation and usage tracking for all API calls
Multi-Model Support: Unified interface supporting OpenAI (GPT-4o, GPT-5, o3, o4-mini), xAI Grok (Grok-4, Grok-4 Fast), and Gemini (2.5-pro, 2.5-flash) models with reasoning mode support for GPT-5
Tools (5)
curate_context
Analyzes the codebase and creates a.yellhorncontext file listing directories to be included in AI context.
create_workplan
Creates a GitHub issue with a detailed workplan based on the title and detailed description.
get_workplan
Retrieves the workplan content (GitHub issue body) associated with a workplan.
revise_workplan
Updates an existing workplan based on revision instructions.
judge_workplan
Triggers an asynchronous code judgement comparing two git refs (branches or commits) against a workplan described in a GitHub issue.
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
VS Code GitHub Copilot
Desktop · Freemium · MIT
VS Code integrates MCP with GitHub Copilot through agent mode, allowing direct interaction with MCP-provided tools in your agentic coding workflow. Configure servers in Claude Desktop, workspace, or user settings, with guided MCP installation and secure handling of secrets in input variables to avoid leaking hardcoded keys.
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