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Glama
Tova501

dev-env-mcp

by Tova501

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
workspace_useA

Select the project/workspace to manage.

  • 'path' can be a repo root or any subdirectory inside a repo.

  • The server will auto-find the workspace root by walking up to pyproject.toml or .git.

  • All future operations (env_create/pip/freeze) are sandboxed to this workspace.

env_createA

Create a venv inside the active workspace (default: .venv) and set it active.

env_useC

Use an existing venv inside the active workspace and set it active.

pipA

Run a restricted pip action inside the active venv.

Parameters:

  • action: install | uninstall | list | show | check

  • packages: list of packages/specs (e.g. ["requests", "numpy==2.1.0"])

  • options: allowlisted pip options only (see server policy)

  • confirm: required for uninstall (safety)

freezeC

Write pinned requirements from the active venv to a file in the workspace.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: env_create creates a new venv, env_use selects an existing one, freeze writes requirements, pip runs pip commands, and workspace_use selects the workspace. No overlap or ambiguity.

Naming Consistency3/5

Naming is inconsistent: env_create, env_use, and workspace_use follow a verb_noun pattern with a prefix, but freeze and pip are standalone verbs/nouns without a prefix. Mixing conventions reduces predictability.

Tool Count5/5

With 5 tools, the server covers the essential operations for managing a Python virtual environment in a workspace. The count is well within the ideal range (3-15) and each tool serves a necessary function.

Completeness4/5

The tool set covers the core workflow of creating/using venvs, running pip, and freezing dependencies. Minor gaps exist: no tool to list existing venvs or delete them, but agents can work around these limitations.

Maintenance

ActivityInactive
ResponsivenessNo issues