Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Invoke a Watson Orchestrate agent via MCP. Configure with WO_AGENT_ID.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
WO_API_KEY, WO_INSTANCE_URL, WO_AGENT_IDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"wxo-agent": {
"command": "npx",
"args": [
"-y",
"wxo-agent-mcp"
],
"env": {
"WO_API_KEY": "your-value",
"WO_INSTANCE_URL": "your-value",
"WO_AGENT_ID": "your-value"
}
}
}
}Run this in your terminal
claude mcp add wxo-agent --env WO_API_KEY=your-value --env WO_INSTANCE_URL=your-value --env WO_AGENT_ID=your-value -- npx -y wxo-agent-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"wxo-agent": {
"command": "npx",
"args": [
"-y",
"wxo-agent-mcp"
],
"env": {
"WO_API_KEY": "your-value",
"WO_INSTANCE_URL": "your-value",
"WO_AGENT_ID": "your-value"
}
}
}
}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": {
"wxo-agent": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"wxo-agent-mcp"
],
"env": {
"WO_API_KEY": "your-value",
"WO_INSTANCE_URL": "your-value",
"WO_AGENT_ID": "your-value"
}
}
}
}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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 9, 2026
The registry name was verified with the GitHub account markusvankempen, 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.
You need to fill in: WO_API_KEY, WO_INSTANCE_URL, WO_AGENT_ID
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 (1.0.8) reached the registry 9 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Bestax
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.
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Props, examples, CSS variables and Agent Skills for bestax-bulma React components (Bulma v1)
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.
Simple MCP (Model Context Protocol) server that invokes a single Watson Orchestrate agent remotely. The agent is defined once via environment variables or MCP config.
Use this when you want a lightweight MCP that only chats with one agent—no tool management, no agent listing, no flows. Just invoke_agent(message) and get_agent().
Full documentation: DOCUMENTATION.md (includes screenshots for VS Code and Langflow). Publishing: PUBLISHING.md – npm and MCP Registry procedure.
┌───────────────────────────────────────┐
│ Cursor • VS Code • Langflow • etc. │ │ (MCP clients) │ └──────────────────┬───────────────────┘ │ stdio / JSON-RPC ▼ ┌───────────────────────────────────────┐ │ wxo-agent-mcp │ │ invoke_agent • get_agent │ └──────────────────┬───────────────────┘ │ HTTP / REST ▼ ┌───────────────────────────────────────┐ │ Watson Orchestrate │ │ agent + tools + LLM │ └───────────────────────────────────────┘
| Tool | Description |
|---|---|
| invoke_agent | Send a message to the configured Watson Orchestrate agent. The agent responds using its tools and LLM. |
| get_agent | Get details of the configured agent (name, description, tools, instructions). |
Set these in .env or your MCP client config (e.g. Cursor mcp.json):
WO_API_KEY=your-ibm-cloud-api-key
WO_INSTANCE_URL=https://your-instance-id.orchestrate.ibm.com WO_AGENT_ID=your-agent-id
npm install
npm run build cp .env.example .env
WO_API_KEY=... WO_INSTANCE_URL=... WO_AGENT_ID=... node dist/index.js
# Default question ("Hello, who are you?")
WO_API_KEY=... WO_INSTANCE_URL=... WO_AGENT_IDs=... npm run test:verify
npm run test:verify -- -ask "What is the weather in Amsterdam?"
Runs get_agent and invoke_agent to confirm connectivity.
wxo-agent-mcp folder in VS Code.npm run build..vscode/mcp.json registers the MCP server as wxo-agent and loads .env.get_agent first.npm run test:verify from the terminal (Ctrl+`).See DOCUMENTATION.md for more prompts and setup.
Question examples: Full list →
| invoke_agent | get_agent |
|---|---|
| What is the weather in Amsterdam? | Use get_agent to show agent details |
| Tell me a dad joke | What tools does my agent have? |
| What time is it in Tokyo? | |
| What can you help me with? |
Langflow: Add an MCP Tools component, choose STDIO, set Command=node, Args=["/path/to/dist/index.js"], and env vars. See DOCUMENTATION.md.
[Add to Cursor](https://cursor.directory/mcp/wxo-agent-mcp) — Opens the Cursor Directory page. After adding, set WO_API_KEY, WO_INSTANCE_URL, and WO_AGENT_ID in Cursor MCP settings.
For [cursor.directory/mcp/new](https://cursor.directory/mcp/new) submission:
| Field | Value |
|---|---|
| Cursor Deep Link | cursor://anysphere.cursor-deeplink/mcp/install?name=WxO%20Agent%20MCP&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsInd4by1hZ2VudC1tY3AiXSwiZW52Ijp7IldPX0FQSV9LRVkiOiJ5b3VyLWFwaS1rZXkiLCJXT19JTlNUQU5DRV9VUkwiOiJodHRwczovL3lvdXItaW5zdGFuY2Uub3JjaGVzdHJhdGUuaWJtLmNvbSIsIldPX0FHRU5UX0lEIjoieW91ci1hZ2VudC1pZCJ9fQ== |
| Install instructions | https://github.com/markusvankempen/wxo-agent-mcp#mcp-client-configuration |
.cursor/mcp.json){
"mcpServers": { "wxo-agent": { "command": "npx", "args": ["-y", "wxo-agent-mcp"], "env": { "WO_API_KEY": "your-api-key", "WO_INSTANCE_URL": "https://xxx.orchestrate.ibm.com", "WO_AGENT_ID": "your-agent-id" } } } }
.vscode/mcp.json)The server is named wxo-agent. Use envFile to load .env:
{
"servers": { "wxo-agent": { "type": "stdio", "command": "node", "args": ["${workspaceFolder}/dist/index.js"], "envFile": "${workspaceFolder}/.env" } } }
For npx (after publishing), use "command": "npx", "args": ["-y", "wxo-agent-mcp"], and add env with your credentials.
Same config as Cursor. Copy examples/antigravity-mcp.json or add to your MCP config:
{
"mcpServers": { "wxo-agent": { "command": "npx", "args": ["-y", "wxo-agent-mcp"], "env": { "WO_API_KEY": "your-api-key", "WO_INSTANCE_URL": "https://xxx.orchestrate.ibm.com", "WO_AGENT_ID": "your-agent-id" } } } }
| wxo-agent-mcp | wxo-builder-mcp-server | |
|---|---|---|
| Purpose | Invoke one agent | Full dev toolkit (tools, agents, connections, flows) |
| Agent | Single WO_AGENT_ID | Multiple agents, WO_AGENT_IDs |
| Tools | invoke_agent, get_agent | 30+ tools (list_skills, deploy_tool, etc.) |
| Use case | Chat with a specific agent | Build and manage Watson Orchestrate resources |
Apache-2.0