WxO Agent MCP
Invoke a Watson Orchestrate agent via MCP. Configure with WO_AGENT_ID.
Open source Open in the app JSON README (API)
About
Invoke a Watson Orchestrate agent via MCP. Configure with WO_AGENT_ID.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- markusvankempen
- Origin
- official
- Category
- ferramentas
- Transport
- local
- Version
- 1.0.8
- Last push
- 2026-02-22T14:24:45Z
- Repository state
- ativo
- License
- NOASSERTION
- Added
- 2026-08-29 04:00:29
- Updated
- 2026-08-29 04:00:29
- Origin id
io.github.markusvankempen/wxo-agent-mcp
README
# WxO Agent MCP
[](https://www.npmjs.com/package/wxo-agent-mcp)
[](https://www.npmjs.com/package/wxo-agent-mcp)
[](LICENSE)
<p align="center">
<img src="resources/icon.svg" alt="wxo-agent-mcp" width="128" />
</p>
<p align="center">
<a href="https://cursor.directory/mcp/wxo-agent-mcp"><img src="https://img.shields.io/badge/Add_to_Cursor-WxO%20Agent%20MCP-0f62fe?style=for-the-badge" alt="Add MCP server to Cursor" /></a>
</p>
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](DOCUMENTATION.md) (includes [screenshots](DOCUMENTATION.md#testing-in-langflow) for VS Code and Langflow).
**Publishing:** [PUBLISHING.md](PUBLISHING.md) – npm and MCP Registry procedure.
### Architecture
```
┌───────────────────────────────────────┐
│ Cursor • VS Code • Langflow • etc. │
│ (MCP clients) │
└──────────────────┬───────────────────┘
│ stdio / JSON-RPC
▼
┌───────────────────────────────────────┐
│ wxo-agent-mcp │
│ invoke_agent • get_agent │
└──────────────────┬───────────────────┘
│ HTTP / REST
▼
┌───────────────────────────────────────┐
│ Watson Orchestrate │
│ agent + tools + LLM │
└───────────────────────────────────────┘
```
## Tools
| 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). |
## Configuration
Set these in `.env` or your MCP client config (e.g. Cursor `mcp.json`):
```env
WO_API_KEY=your-ibm-cloud-api-key
WO_INSTANCE_URL=https://your-instance-id.orchestrate.ibm.com
WO_AGENT_ID=your-agent-id
# Or WO_AGENT_IDs=id1,id2 (first is used)
```
## Quick Start
```bash
npm install
npm run build
cp .env.example .env
# Edit .env with your credentials and agent ID
WO_API_KEY=... WO_INSTANCE_URL=... WO_AGENT_ID=... node dist/index.js
```
### Verify
```bash
# Default question ("Hello, who are you?")
WO_API_KEY=... WO_INSTANCE_URL=... WO_AGENT_IDs=... npm run test:verify
# Custom question
npm run test:verify -- -ask "What is the weather in Amsterdam?"
```
Runs `get_agent` and `invoke_agent` to confirm connectivity.
### Test in VS Code
1. Open the `wxo-agent-mcp` folder in VS Code.
2. Run `npm run build`.
3. `.vscode/mcp.json` registers the MCP server as **wxo-agent** and loads `.env`.
4. Open Copilot Chat (Ctrl+Shift+I) and ask: _Use invoke_agent to ask: What is the weather in Amsterdam?_
For "what can you do", use _Use invoke_agent to ask: What can you do?_ to avoid Copilot calling `get_agent` first.
5. Or run `npm run test:verify` from the terminal (Ctrl+`).
See [DOCUMENTATION.md](DOCUMENTATION.md#testing-locally-in-vs-code) for more prompts and setup.
**Question examples:** [Full list →](DOCUMENTATION.md#question-examples)
| 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](DOCUMENTATION.md#testing-in-langflow).
## MCP Client Configuration
### One-click install (Cursor Directory)
**[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 (`.cursor/mcp.json`)
```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"
}
}
}
}
```
### VS Code Copilot (`.vscode/mcp.json`)
The server is named **wxo-agent**. Use `envFile` to load `.env`:
```json
{
"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.
### Antigravity
Same config as Cursor. Copy `examples/antigravity-mcp.json` or add to your MCP config:
```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"
}
}
}
}
```
## vs wxo-builder-mcp-server
| | 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 |
## Links
- **npm:** [wxo-agent-mcp](https://www.npmjs.com/package/wxo-agent-mcp)
- **MCP Registry:** [io.github.markusvankempen/wxo-agent-mcp](https://registry.modelcontextprotocol.io)
- **GitHub:** [markusvankempen/wxo-agent-mcp](https://github.com/markusvankempen/wxo-agent-mcp)
## License
Apache-2.0