Provides tools for reviewing pull requests with codebase context and querying architecture, patterns, and dependencies.
Supports deploying the MCP server to Prefect Horizon for cloud hosting.
Allows interaction with Sanity CMS for content management and development workflow.
Enables checking the health and status of Vercel deployments.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
FastMCP v3 server for YLx photo proofing platform development workflow.
Tool | Fungsi |
| Review PR dengan konteks codebase |
| Query arsitektur, patterns, dependencies |
| Suggest fitur baru berdasarkan codebase |
| Security/quality audit |
| Generate test cases |
| Cek health Vercel deployment |
Related MCP server: MCP AI POC
cd ~/ylx-mcp
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtGITHUB_TOKEN=ghp_...
GITHUB_REPO=msph1973/ylx
SANITY_PROJECT_ID=741sif2l
SANITY_DATASET=production
SANITY_API_TOKEN=...
VERCEL_TOKEN=...
VERCEL_PROJECT_ID=ylx-msphpython server.py
# or
fastmcp run server.py:mcp --transport http --port 8000Push to GitHub repo
Sign in at https://horizon.prefect.io
Create server → entrypoint: server.py:mcp
Add environment variables in Horizon dashboard
{
"mcpServers": {
"ylx-dev": {
"url": "https://ylx-dev-assistant.fastmcp.app/mcp",
"transport": "http",
"headers": {
"Authorization": "Bearer fmcp_..."
}
}
}
}This server cannot be deployed
AI colleagues that keep your standards, your project and their reasoning between sessions
Autonomous AI developers on your own infrastructure: assign a task, get a pull request.
Scores your code across 12 areas, with findings, fix prompts, and re-assessment in your AI agent
Read-only AI coding tools for change verification, release readiness, capacity, and guidance.
