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Glama
Prakhar021-hub

Local Sandbox MCP Environment

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PATHNoPATH environment variable made available to the server process (e.g. "/usr/local/bin:/opt/homebrew/bin:/usr/bin:/bin").
PYTHONPATHNoModule search path so the server module can be imported (e.g. "src").

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
list_filesB

List all files in the workspace.

write_fileC

Create or overwrite a file in the workspace.

read_fileC

Read a file from the workspace.

run_pythonA

Run a Python file from the workspace in an isolated Docker container (no network, limited CPU/memory, 10s timeout).

describe_schemaB

Show the SQLite database schema.

query_dbA

Run a read-only SELECT query against the sample database.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.6/5.0

Scored across 6 tools

Disambiguation5/5

Each tool targets a clearly distinct resource and action: file CRUD, Python execution, and read-only database access are cleanly separated. The only adjacent pair, describe_schema and query_db, is well differentiated by one returning metadata and the other returning query results.

Naming Consistency5/5

All six tools follow a consistent snake_case verb_noun pattern (run_python, describe_schema, query_db, list_files, write_file, read_file). No mixed conventions or vague verbs.

Tool Count5/5

Six tools is a tight, well-scoped surface for a sandbox environment; every tool earns its place with no redundancy. Nothing feels padded or thin.

Completeness4/5

File read/write/list, code execution, and DB inspection cover the core sandbox workflow, but there is no delete_file or directory-creation operation, which agents may need when cleaning up or organizing the workspace. A way to pass arguments/stdin to run_python is also absent but workable.

Maintenance

ActivityMaintained
ResponsivenessNo issues