# How to integrate Convex MCP with OpenClaw

```json
{
  "title": "How to integrate Convex MCP with OpenClaw",
  "toolkit": "Convex",
  "toolkit_slug": "convex",
  "framework": "OpenClaw",
  "framework_slug": "openclaw",
  "url": "https://composio.dev/toolkits/convex/framework/openclaw",
  "markdown_url": "https://composio.dev/toolkits/convex/framework/openclaw.md",
  "updated_at": "2026-06-18T09:21:44.444Z"
}
```

## 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 Convex with authentication management handled for you. You can execute actions on Convex via your favorite OpenClaw interface (Telegram, WhatsApp, TUI, etc), whichever you prefer.

## Also integrate Convex with

- [OpenAI Agents SDK](https://composio.dev/toolkits/convex/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/convex/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/convex/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/convex/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/convex/framework/codex)
- [Hermes](https://composio.dev/toolkits/convex/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/convex/framework/cli)
- [Google ADK](https://composio.dev/toolkits/convex/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/convex/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/convex/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/convex/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/convex/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/convex/framework/crew-ai)

## TL;DR

### 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.

## Connect Convex to OpenClaw

### How to install Convex with OpenClaw
### Using Composio API Key and Setup Prompt
- Go to [dashboard.composio.dev](https://dashboard.composio.dev/login?next=/~/org/connect/clients/openclaw&utm_source=toolkits&utm_medium=framework_template&utm_campaign=openclaw&utm_content=setup_prompt)
- Copy the setup prompt
- Run it in your OpenClaw chat interface.
- Authenticate Convex from the [dashboard](https://dashboard.composio.dev/login?next=/~/org/connect/clients/openclaw&utm_source=toolkits&utm_medium=framework_template&utm_campaign=openclaw&utm_content=authenticate)
- 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
```

## What is the Convex MCP server, and what's possible with it?

The Convex MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Convex account. It provides structured and secure access so your agent can perform Convex operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CONVEX_CREATE_DEPLOY_KEY` | Create deploy key | Tool to create a deploy key for use with the Convex CLI. Use when you need to generate credentials for CLI-based development or deployment workflows. The generated key provides administrative access to the specified deployment. |
| `CONVEX_CREATE_DEPLOYMENT` | Create Deployment | Tool to create a new deployment for a Convex project. Use when you need to create a development, production, or custom deployment. Specify the deployment type and optional configuration like class, reference, and region. |
| `CONVEX_CREATE_PROJECT` | Create Project | Tool to create a new project on a Convex team, optionally provisioning a dev or prod deployment. Use when you need to initialize a new Convex project in a team. |
| `CONVEX_DELETE_CUSTOM_DOMAIN` | Delete Custom Domain | Tool to remove a custom domain from a Convex deployment. Use when you need to delete a previously configured custom domain. |
| `CONVEX_DELETE_DEPLOYMENT` | Delete Deployment | Tool to delete a Convex deployment. Use when you need to permanently remove a deployment and all its data. WARNING: This action will delete all data and files in the deployment and cannot be undone. |
| `CONVEX_DELETE_PROJECT` | Delete project | Deletes a Convex project and all its deployments permanently. Use when you need to permanently remove a project and all associated data. This operation cannot be undone. |
| `CONVEX_EXECUTE_QUERY_BATCH` | Execute Query Batch | Tool to execute multiple Convex query functions in a single batch request. Use when you need to fetch data from multiple queries efficiently in one API call. |
| `CONVEX_GET_DEPLOYMENT` | Get Deployment Details | Tool to retrieve details about a Convex cloud deployment. Use when you need to get information about a specific deployment including its configuration, region, creation time, and status. |
| `CONVEX_GET_PROJECT_BY_ID` | Get Project by ID | Tool to retrieve detailed information about a specific Convex project by its ID. Use when you need to fetch project metadata including name, slug, team association, and creation time. |
| `CONVEX_GET_PROJECT_BY_SLUG` | Get Project by Slug | Tool to retrieve a Convex project by its slug within a team. Use when you need to fetch project details using human-readable identifiers instead of numeric IDs. |
| `CONVEX_GET_QUERY_TIMESTAMP` | Get Query Timestamp | Tool to get the latest timestamp for queries from Convex deployment. Use when you need to retrieve the current query timestamp from the Convex API. |
| `CONVEX_GET_TOKEN_DETAILS` | Get token details | Tool to retrieve token details for the authenticated token. Returns the team ID for team tokens or project ID for project tokens. Especially useful after receiving a token from an OAuth flow to identify which team or project it belongs to. |
| `CONVEX_LIST_DEPLOY_KEYS` | List Deploy Keys | Tool to list all deploy keys for a specified Convex deployment. Use when you need to view all authentication tokens that can be used to deploy to this deployment. |
| `CONVEX_LIST_DEPLOYMENT_CLASSES` | List deployment classes | Tool to list available deployment classes for a Convex team. Use when you need to check which deployment classes are available for a specific team. |
| `CONVEX_LIST_DEPLOYMENT_REGIONS` | List deployment regions | Tool to list available deployment regions for a Convex team. Use when you need to check which regions are available for deploying a team's backend. |
| `CONVEX_LIST_DEPLOYMENTS` | List Deployments | Tool to list all deployments for a Convex project. Use when you need to see all deployments (production, preview, or local) for a specific project. |
| `CONVEX_LIST_LOG_STREAMS` | List Log Streams | Tool to list all existing log stream configurations in a deployment. Use when you need to view configured log streaming destinations like Datadog, Webhook, Axiom, or Sentry. |
| `CONVEX_LIST_PROJECTS` | List Projects | Tool to list all projects for a specific Convex team. Use when you need to retrieve all projects associated with a team by team ID. |
| `CONVEX_UPDATE_DEPLOYMENT` | Update Deployment | Tool to update properties of an existing Convex deployment. Use when you need to modify deployment settings such as dashboard edit confirmation or deployment reference. Only the fields provided in the request are modified. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Convex MCP server provides comprehensive access to Convex operations through Composio. Once connected, you can perform all major Convex actions directly from OpenClaw using natural language commands.

## Complete Code

None listed.

## Conclusion

### Conclusion
You've successfully integrated Convex with OpenClaw using Composio plugin. Now interact with Convex 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 Convex 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 Convex 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

## How to build Convex MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/convex/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/convex/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/convex/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/convex/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/convex/framework/codex)
- [Hermes](https://composio.dev/toolkits/convex/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/convex/framework/cli)
- [Google ADK](https://composio.dev/toolkits/convex/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/convex/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/convex/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/convex/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/convex/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/convex/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Convex MCP?

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

### Can I use Tool Router MCP with OpenClaw?

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 Convex tools.

### Can I manage the permissions and scopes for Convex while using Tool Router?

Yes, absolutely. You can configure which Convex 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.

### How safe is my data with Composio Tool Router?

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 Convex data and credentials are handled as safely as possible.

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