WxO Agent MCP

WxO Agent MCP

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.

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):

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

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

# 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 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.

MCP Client Configuration

One-click install (Cursor Directory)

Add to Cursor — 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 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)

{
    "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:

{
    "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:

{
    "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
• MCP Registry: io.github.markusvankempen/wxo-agent-mcp
• GitHub: markusvankempen/wxo-agent-mcp

License

Apache-2.0