How to integrate VLM Run MCP with OpenClaw

OpenClaw is the fastest growing agent harness out there, which can work 24/7 to automate almost any kind of tasks. However, its capabilities are limited to the tools it has access to. Composio allows your OpenClaw to access VLM Run with authentication management handled for you. You can execute actions on VLM Run via your favorite OpenClaw interface (Telegram, WhatsApp, TUI, etc), whichever you prefer.

VLM Run logoVLM Run
Api Key

VLM Run is a multimodal AI platform for structured extraction, predictions, files, skills, feedback, and evaluations. It helps teams build reliable vision-language workflows without stitching together model, file, and eval infrastructure by hand.

11 Tools

Introduction

OpenClaw is the fastest growing agent harness out there, which can work 24/7 to automate almost any kind of tasks. However, its capabilities are limited to the tools it has access to. Composio allows your OpenClaw to access VLM Run with authentication management handled for you. You can execute actions on VLM Run via your favorite OpenClaw interface (Telegram, WhatsApp, TUI, etc), whichever you prefer.

Also integrate VLM Run with

Why use Composio?

Apart from a managed and hosted MCP server, you will get:

  • Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
  • Handling Large tool responses out of LLM context to minimize context rot.
  • Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need.

How to install VLM Run with OpenClaw

Using Composio API Key and Setup Prompt

Copy the setup prompt from the OpenClaw dashboard
  • Run it in your OpenClaw chat interface.
  • Authenticate VLM Run from the dashboard
  • Go back to your OpenClaw interface and start asking questions.

Using OpenClaw/Composio Plugin

1. Install OpenClaw Composio plugin

bash
openclaw plugins install @composio/openclaw-plugin

2. Copy the API Key from dashboard.composio.dev

3. Setup OpenClaw Config

bash
openclaw config set plugins.entries.composio.config.consumerKey "ck_your_key_here"

4. Restart OpenClaw

bash
openclaw gateway restart

5. Go to your chat interface and start asking questions.

6. When prompted, authenticate the app and you're all set.

How It Works

The plugin connects to Composio's MCP server at https://connect.composio.dev/mcp and registers all available tools directly into the OpenClaw agent. Tools are called by name — no extra search or execute steps needed.

If a tool returns an auth error, the agent will prompt you to connect that toolkit at dashboard.composio.dev.

Configuration

bash
{
  "plugins": {
    "entries": {
      "composio": {
        "enabled": true,
        "config": {
          "consumerKey": "ck_your_key_here"
        }
      }
    }
  }
}
OptionDescriptionDefault
enabledEnable or disable the plugintrue
consumerKeyYour Composio consumer key (ck_...)—
mcpUrlMCP server URL (advanced)https://connect.composio.dev/mcp

What is the VLM Run MCP server, and what's possible with it?

The VLM Run MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your VLM Run account. It provides structured and secure access to your multimodal agents, files, skills, extraction workflows, and runs, so your agent can upload files, extract structured data, execute agents, create reusable skills, and track results on your behalf.

  • Structured data extraction: Have your agent extract structured JSON from documents, images, videos, or audio using a supported domain, custom schema, or existing skill.
  • Multimodal agent execution: Direct your agent to choose an available VLM Run agent or provide an inline configuration, then run it against multimodal inputs.
  • File and skill management: Let the agent upload local files, find previously uploaded files, browse existing skills, or create a reusable skill from an uploaded zip, prompt, or chat session.
  • Run tracking and result retrieval: Instruct your agent to list extraction and agent runs, check work in progress, and retrieve completed results.
  • Schema and artifact discovery: Have your agent explore supported extraction domains and schemas, then list artifacts created during a chat session or agent execution.

Conclusion

You've successfully integrated VLM Run with OpenClaw using Composio plugin. Now interact with VLM Run directly from your terminal, Web UI, or any messenger app using natural language commands.

Key benefits of this setup:

  • Seamless integration across TUI, Web UIs, and Messenger apps like Telegram, WhatsApp, Slack, etc.
  • Natural language commands for VLM Run operations
  • Managed authentication through Composio
  • Access to 20,000+ tools across 1000+ apps for cross-app workflows
  • Programmatic tool calling for complex tool chaining

Next steps:

  • Try asking OpenClaw to perform various VLM Run operations
  • Explore cross-app workflows by connecting more toolkits like Calendar, Slack, Notion, etc.
  • Build complex automation scripts that leverage OpenClaw's 24/7 running capabilities
TOOLS

Supported Tools

Every VLM Run action and event your agent gets out of the box.

Create Skill

Create a reusable skill from exactly one uploaded zip, prompt, or chat session.

Discover Extraction Schemas

List supported structured-extraction domains, or return the full JSON schema for one domain when domain is provided.

Execute Agent

Start a VLM Run agent execution from an existing agent name or inline configuration over multimodal inputs.

Extract Structured JSON

Start structured JSON extraction from images, a document, a video, or audio using a domain, custom schema, or skill.

Find Files

List uploaded files or find one by file ID or MD5 hash.

Find Skills

List VLM Run skills or find one exact skill by ID, name, and optional version.

Get Run

Get the current status and result of one structured-extraction prediction or agent execution; call repeatedly to poll asynchronous work.

List Agents

Return agents available to the connected account for selection before execution.

List Artifacts

List artifact metadata belonging to exactly one chat session or agent execution.

List Runs

List structured-extraction predictions or agent executions for the connected account.

Upload File

Upload a local file to VLM Run for extraction, agent input, or skill creation.

FAQ

Frequently asked questions

With a standalone VLM Run MCP server, the agents and LLMs can only access a fixed set of VLM Run tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from VLM Run and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. OpenClaw fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right VLM Run tools.

Yes, absolutely. You can configure which VLM Run scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your VLM Run data and credentials are handled as safely as possible.

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