Mistral AI Automation

# Mistral AI Automation via Rube MCP

Automate Mistral AI operations through Composio's Mistral AI toolkit via Rube MCP.

**Toolkit docs**: [composio.dev/toolkits/mistral_ai](https://composio.dev/toolkits/mistral_ai)

## Prerequisites

- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active Mistral AI connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `mistral_ai`
- Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas

## Setup

**Get Rube MCP**: Add `https://rube.app/mcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds
2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `mistral_ai`
3. If connection is not ACTIVE, follow the returned auth link to complete setup
4. Confirm connection status shows ACTIVE before running any workflows

## Tool Discovery

Always discover available tools before executing workflows:

```
RUBE_SEARCH_TOOLS: queries=[{"use_case": "completions, embeddings, fine-tuning, and model management", "known_fields": ""}]
```

This returns:
- Available tool slugs for Mistral AI
- Recommended execution plan steps
- Known pitfalls and edge cases
- Input schemas for each tool

## Core Workflows

### 1. Discover Available Mistral AI Tools

```
RUBE_SEARCH_TOOLS:
  queries:
    - use_case: "list all available Mistral AI tools and capabilities"
```

Review the returned tools, their descriptions, and input schemas before proceeding.

### 2. Execute Mistral AI Operations

After discovering tools, execute them via:

```
RUBE_MULTI_EXECUTE_TOOL:
  tools:
    - tool_slug: "<discovered_tool_slug>"
      arguments: {<schema-compliant arguments>}
  memory: {}
  sync_response_to_workbench: false
```

### 3. Multi-Step Workflows

For complex workflows involving multiple Mistral AI operations:

1. Search for all relevant tools: `RUBE_SEARCH_TOOLS` with specific use case
2. Execute prerequisite steps first (e.g., fetch before update)
3. Pass data between steps using tool responses
4. Use `RUBE_REMOTE_WORKBENCH` for bulk operations or data processing

## Common Patterns

### Search Before Action
Always search for existing resources before creating new ones to avoid duplicates.

### Pagination
Many list operations support pagination. Check responses for `next_cursor` or `page_token` and continue fetching until exhausted.

### Error Handling
- Check tool responses for errors before proceeding
- If a tool fails, verify the connection is still ACTIVE
- Re-authenticate via `RUBE_MANAGE_CONNECTIONS` if connection expired

### Batch Operations
For bulk operations, use `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` in a loop with `ThreadPoolExecutor` for parallel execution.

## Known Pitfalls

- **Always search tools first**: Tool schemas and available operations may change. Never hardcode tool slugs without first discovering them via `RUBE_SEARCH_TOOLS`.
- **Check connection status**: Ensure the Mistral AI connection is ACTIVE before executing any tools. Expired OAuth tokens require re-authentication.
- **Respect rate limits**: If you receive rate limit errors, reduce request frequency and implement backoff.
- **Validate schemas**: Always pass strictly schema-compliant arguments. Use `RUBE_GET_TOOL_SCHEMAS` to load full input schemas when `schemaRef` is returned instead of `input_schema`.

## Quick Reference

| Operation | Approach |
|-----------|----------|
| Find tools | `RUBE_SEARCH_TOOLS` with Mistral AI-specific use case |
| Connect | `RUBE_MANAGE_CONNECTIONS` with toolkit `mistral_ai` |
| Execute | `RUBE_MULTI_EXECUTE_TOOL` with discovered tool slugs |
| Bulk ops | `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` |
| Full schema | `RUBE_GET_TOOL_SCHEMAS` for tools with `schemaRef` |

> **Toolkit docs**: [composio.dev/toolkits/mistral_ai](https://composio.dev/toolkits/mistral_ai)