Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP server for YADE — open-source DEM engine. Browse API docs, run simulations, manage tasks.
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Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"yade": {
"command": "uvx",
"args": [
"yade-mcp"
]
}
}
}Run this in your terminal
claude mcp add yade -- uvx yade-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"yade": {
"command": "uvx",
"args": [
"yade-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"yade": {
"type": "stdio",
"command": "uvx",
"args": [
"yade-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account yusong652, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.11.2) reached the registry 17 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, DECIDE: Migration Discovery Risk Review
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Run after each discovery iteration to see what's still uncertain, who to ask next, and what changed.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
O.engines += [LLM()] # yet another engine.
yade-mcp connects AI agents to YADE, the open-source discrete element method engine, through the Model Context Protocol. The agent browses the YADE API, runs code in a live YADE session, launches long simulations as background tasks, and reads what you type at the YADE console.
Two documentation tools (no bridge needed) and five execution tools (bridge required):
| Tool | Purpose | Bridge |
|---|---|---|
yade_browse_api | Walk the YADE Python class tree | No |
yade_query_api | BM25 keyword search across the API | No |
yade_execute_code | Run Python in the live YADE process; returns synchronously | Yes |
yade_execute_task | Submit a script as a long-running background task | Yes |
yade_check_task_status | Inspect a running or finished task (output, status) | Yes |
yade_interrupt_task | Stop a running task at an iteration boundary, or cancel a queued one | Yes |
yade_list_tasks | List submitted tasks with metadata | Yes |
uvx launcher that agent clients use to run yade-mcp; without it the client reports No such file or directory when starting the server.Copy this to your AI agent and let it self-configure:
Fetch and follow this bootstrap guide end-to-end:
https://raw.githubusercontent.com/yusong652/yade-mcp/master/docs/agentic/yade-mcp-bootstrap.md
1. Register the MCP server with your agent (use the line for yours):
# Claude Code
claude mcp add yade-mcp -- uvx yade-mcp
codex mcp add yade-mcp -- uvx yade-mcp
gemini mcp add yade-mcp uvx yade-mcp
Or fill in the MCP config file by hand:
{
"mcpServers": { "yade-mcp": { "command": "uvx", "args": ["yade-mcp"] } } }
2. Install the bridge into YADE's Python.
YADE embeds one specific interpreter (the system python3 for the Debian and Ubuntu packages, or the one it was built against). A conda or venv Python is a different interpreter, and a package installed there is invisible to YADE. The reliable way to hit the right one is to install from inside YADE, where sys.executable is that interpreter. In the YADE console:
import sys, subprocess
subprocess.check_call([sys.executable, "-m", "pip", "install", "--user", "yade-mcp-bridge"])
Two things can go wrong here:
No module named pip: the interpreter has no pip. Install it with the system package manager, for example sudo apt install python3-pip.externally-managed-environment (Debian 12, Ubuntu 23.04 and later): pip refuses --user by default. Add "--break-system-packages" after "--user" in the command above.Then exit and restart YADE so the new package directory is picked up.
The bridge is proposed for inclusion in YADE itself (yade-dev/trunk !1187). Once it ships with YADE, this step goes away and the bridge starts with from yade import mcpbridge.
3. Start the bridge in the YADE console:
import yade_mcp_bridge
yade_mcp_bridge.start()
It prints one line: YADE MCP Bridge on http://localhost:9002, log: /.yade-mcp/bridge.log.
Restart your AI agent and ask it to check that it is connected to YADE. It calls yade_execute_code; ok: true in the response means the whole chain works.
Once first-time setup is done, each new YADE session only needs the bridge started again. In the YADE console:
import yade_mcp_bridge
yade_mcp_bridge.start()
The MCP client config persists.
The bridge listens on 9002 by default. To use another port, pass it to start():
yade_mcp_bridge.start(port=9008)
The MCP server connects to 9002 unless told otherwise, so register it with the matching URL:
{
"mcpServers": { "yade-mcp": { "command": "uvx", "args": ["yade-mcp", "--bridge-url", "http://localhost:9008"] } } }
When YADE runs inside a container, bind the bridge to all interfaces so it is reachable from outside:
yade_mcp_bridge.start(host="0.0.0.0")
Publish the port when starting the container (for Docker, -p 9002:9002).
yade_execute_code runs Python in the session's own namespace, so state persists between calls. It keeps working while a task runs, for reading intermediate results without stopping the simulation.See Troubleshooting in the bootstrap guide.
See CONTRIBUTING.md for development setup and guidelines.
MIT, see LICENSE.