Mito AI MCP Server
Connect and use the Mito Agent in your application of choice using an MCP server
This server enables LLMs to perform better data analysis and visualization, including best-in-class Excel-to-Python workflows.
Prerequisites
To use the Mito AI MCP server the only requirement is uv. You can find installation instructions here.
Cursor
One-click install
For quick installation, use the one-click install:
Manual install instructions
To manually add the server to Cursor, open the Command Palette (Ctrl + Shift + P) and go to Cursor Settings: Tools & MCPs. Scroll to Install MCP Server and select Add Custom MCP. This will open a JSON file with an mcpServers object, add the appropriate config there:
{
"mcpServers": {
"mito-ai": {
"command": "uvx",
"args": [
"mito-ai-mcp"
]
}
}
}VS Code
One-click install
For quick installation, use the one-click install:
Manual install instructions
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).
Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.
Note that the
mcpkey is needed when using themcp.jsonfile.
Add the following MCP config:
{
"mcp": {
"servers": {
"mito-ai": {
"command": "uvx",
"args": ["mito-ai-mcp"]
}
}
}
}Claude Desktop
One-click install
Double-click the
.mcpbfile. This should open Claude; follow the directions on screen.
Claude Code
In your terminal enter:
You should see a success message on submit. You can also enter claude from the terminal, and use the /mcp command to make sure the mito-ai MCP server is connected.
Other Applications
To connect the to this server in another MCP-compatible app, find its MCP settings page in the docs.
Then add:
Name: mito-ai
Type: stdio
Command: uvx
Arguments: mito-ai-mcp
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