A
licenseNot graded
qualityD
maintenanceProduction-ready MCP server for secure Python code execution with artifact capture, virtual environment support, and LM Studio integration.
11
Apache 2.0
venv-mcp-server
by sparfenyuk
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@venv-mcp-server Create a new virtual environment named 'myproject' and install requests."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
venv-mcp-server
The MCP server which solves the following problem: LLMs are not able to resolve dependencies and update the virtual environment on their own reliably. With simple list of tools, venv-mcp-server makes it possible.
Integrations
Cline / Claude Desktop
{
"mcpServers": {
"venv-management-for-my-project": {
"command": "uvx",
"args": [
"--from=git+https://github.com/sparfenyuk/venv-mcp-server.git",
"venv-mcp-server"
]
}
}
}Related MCP server: mcp-python-repl
Command-line arguments
$ uvx --from git+https://github.com/sparfenyuk/venv-mcp-server.git venv-mcp-server --help
usage: venv-mcp-server [-h] [--uv-path UV_PATH]
A MCP server to manage a virtual environment in the given location using 'uv'
options:
-h, --help show this help message and exit
--uv-path UV_PATH Path to uv executable. Default is the 'uv' command in your PATH.Available Tools
6 toolsadd_packageC
Add package to pyproject.toml and update the virtual environment. Returns True if successful.
Args: package_name: Name of the package to install. dev: If True, add the package to the development dependency group.
Inputs: package_name (required), dev (required), current_working_dir (required).
add_packagesA
Add many packages to pyproject.toml at once and update the virtual environment.
Args: package_names: List of names of the packages to install. dev: If True, add the package to the development dependency group.
Inputs: package_names (required), dev (required), current_working_dir (required).
initC
Initialize virtual environment. Returns True if successful.
Inputs: current_working_dir (required).
remove_packageB
Remove package from pyproject.toml file and update the virtual environment. Returns True if successful.
Args: package_name: Name of the package to remove. dev: If True, remove the package from the development dependency group
Inputs: package_name (required), dev (required), current_working_dir (required).
run_in_venvC
Run a command in virtual environment. Returns True if successful.
Args: command: Command to run. args: Arguments to pass to the command.
Inputs: current_working_dir (required), command (required), args.
syncC
Sync pyproject.toml with virtual environment. Returns True if successful.
Inputs: current_working_dir (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
B3.2/5.0
Scored across 6 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: init, add/remove packages (singular/plural), sync, and run commands. No overlap or ambiguity.
Naming Consistency4/5
All tools use snake_case and follow a verb_noun pattern (add_package, remove_package, run_in_venv), but 'init' and 'sync' are single words, which is a minor deviation.
Tool Count5/5
6 tools cover the essential operations for virtual environment management (init, add, remove, sync, run). No excess or deficiency.
Completeness4/5
Covers core workflows: init, add/remove packages, sync, run commands. Missing operations like listing installed packages or updating packages, but not critical.
Maintenance
ActivityInactive
ResponsivenessNo recent community issues
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