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WxO Agent MCP

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Invoke a Watson Orchestrate agent via MCP. Configure with WO_AGENT_ID.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "wxo-agent-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "wxo-agent-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

WxO Agent MCP

npm version npm downloads License

wxo-agent-mcp

Add MCP server to Cursor

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 agentβ€”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

Code
                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚  Cursor β€’ VS Code β€’ Langflow β€’ etc.   β”‚
                    β”‚  (MCP clients)                        β”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                       β”‚ stdio / JSON-RPC
                                       β–Ό
                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚  wxo-agent-mcp                        β”‚
                    β”‚  invoke_agent β€’ get_agent              β”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                       β”‚ HTTP / REST
                                       β–Ό
                    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                    β”‚  Watson Orchestrate                   β”‚
                    β”‚  agent + tools + LLM                   β”‚
                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Tools

ToolDescription
invoke_agentSend a message to the configured Watson Orchestrate agent. The agent responds using its tools and LLM.
get_agentGet 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

Terminal
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 for more prompts and setup.

Question examples: Full list β†’

invoke_agentget_agent
What is the weather in Amsterdam?Use get_agent to show agent details
Tell me a dad jokeWhat 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 β€” 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:

FieldValue
Cursor Deep Linkcursor://anysphere.cursor-deeplink/mcp/install?name=WxO%20Agent%20MCP&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsInd4by1hZ2VudC1tY3AiXSwiZW52Ijp7IldPX0FQSV9LRVkiOiJ5b3VyLWFwaS1rZXkiLCJXT19JTlNUQU5DRV9VUkwiOiJodHRwczovL3lvdXItaW5zdGFuY2Uub3JjaGVzdHJhdGUuaWJtLmNvbSIsIldPX0FHRU5UX0lEIjoieW91ci1hZ2VudC1pZCJ9fQ==
Install instructionshttps://github.com/markusvankempen/wxo-agent-mcp#mcp-client-configuration

Cursor (.cursor/mcp.json)

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 Code Copilot (.vscode/mcp.json)

The server is named wxo-agent. Use envFile to load .env:

config.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:

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-mcpwxo-builder-mcp-server
PurposeInvoke one agentFull dev toolkit (tools, agents, connections, flows)
AgentSingle WO_AGENT_IDMultiple agents, WO_AGENT_IDs
Toolsinvoke_agent, get_agent30+ tools (list_skills, deploy_tool, etc.)
Use caseChat with a specific agentBuild 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

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about WxO Agent MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "wxo-agent-mcp": { "command": "npx", "args": ["-y", "WxO Agent MCP"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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