Code Interpreter Agent by Nova (CIVAI)
I do everything related to coding and execution tasks
Should I use this
Quality & Safety
Findings (5)
- LOWin code_interpreter__converse
- LOWin terminal_command__converse
- LOWin code_interpreter__generate_code_only
- LOWin code_interpreter__generate_and_execute_code
- LOWin code_interpreter__debug_update_existing_code
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"code-interpreter-agent": {
"url": "https://nova.civai.co/mcp/agents/code-interpreter-agent"
}
}
}Remote endpoints
https://nova.civai.co/mcp/agents/code-interpreter-agentstreamable-httpWhat it can do
Tool inventory
Tools (8)
⚪code_interpreter__generate_code_only(detail)
Code interpreter (runner operator): generate code only
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Specific parameters for this action."
}
}
}⚪code_interpreter__generate_and_execute_code(detail)
Code interpreter (runner operator): generate and execute code
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Specific parameters for this action."
}
}
}🟡code_interpreter__debug_update_existing_code(detail)
Code interpreter (runner operator): debug update existing code
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Specific parameters for this action."
}
}
}⚪code_interpreter__converse(reply_hint)
Reply conversationally when the request is ambiguous or needs clarification.
Input Schema
{
"type": "object",
"properties": {
"reply_hint": {
"type": "string",
"description": "Optional hint for the conversational reply."
}
}
}⚪terminal_command__bash(detail)
Terminal command (runner operator): bash
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Specific parameters for this action."
}
}
}⚪terminal_command__sh(detail)
Terminal command (runner operator): sh
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Specific parameters for this action."
}
}
}⚪terminal_command__zsh(detail)
Terminal command (runner operator): zsh
Input Schema
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Specific parameters for this action."
}
}
}⚪terminal_command__converse(reply_hint)
Reply conversationally when the request is ambiguous or needs clarification.
Input Schema
{
"type": "object",
"properties": {
"reply_hint": {
"type": "string",
"description": "Optional hint for the conversational reply."
}
}
}Community
Evidence