
LmsPs
Enables interaction with a persistent PowerShell session through LM Studio. Provides tools to run commands, manage directories, and handle environment variables while maintaining session state between calls.
README
LmsPs — LM Studio PowerShell MCP Server
A minimal, environment‑driven MCP server that exposes a persistent PowerShell session to LM Studio. It keeps a single pwsh.exe/powershell.exe process alive and offers tools to run commands, manage cwd, and get/set env vars. Responses to the client are trimmed (default 500 chars) while full I/O is logged.
Features
- Tools:
ps.run
,ps.cd
,ps.cwd
,ps.reset
,ps.env_get
,ps.env_set
- Persistent PowerShell between calls (stateful session)
- 500‑char response trim to the client; full logs on disk
- All paths/config via environment variables (no hardcoded paths)
Install (dev)
cd K:/Repos/LmsPs
python -m venv .venv
. .venv/Scripts/activate # Windows
pip install -e .
Run (stdio)
- From WSL (recommended by LM Studio):
bash K:/Repos/LmsPs/scripts/start_ps_mcp_stdio.sh
- Or directly (Windows):
python -m lmsps.server
Environment variables
LMSPS_PWSH
— PowerShell executable (defaultpwsh.exe
, fallbackpowershell.exe
)LMSPS_PWSH_FALLBACK
— override fallback exe if neededLMSPS_LOGDIR
— log directory (default:<repo>/logs
)LMSPS_TRIM_CHARS
— max characters returned to client (default:500
)LMSPS_TIMEOUT_SEC
— per‑call timeout in seconds (default:30
)
LM Studio configuration example
Add to your LM Studio settings JSON:
{
"mcpServers": {
"lmsps": {
"command": "bash",
"args": ["-lc", "K:/Repos/LmsPs/scripts/start_ps_mcp_stdio.sh"],
"env": {
"LMSPS_PWSH": "/mnt/c/Program Files/PowerShell/7/pwsh.exe",
"LMSPS_LOGDIR": "/mnt/k/LMstudio/LmsPs/logs",
"LMSPS_TRIM_CHARS": "500"
}
}
}
}
Smoke test (from LM Studio)
ps.run
→Get-Process | Select-Object -First 3
ps.cwd
→ should show current locationps.cd
→ change to a test directory and re‑runps.cwd
ps.env_set
/ps.env_get
→ write/read a temp environment variable- Re‑run
ps.run
to confirm session persistence
Logs
- Full request/response JSON lines are appended to
LMSPS_LOGDIR
/lmsps_server.log
.
Repo layout
src/lmsps/server.py
— MCP server implementationscripts/start_ps_mcp_stdio.sh
— stdio launcher (used by LM Studio)logs/
— default log directory (overridable viaLMSPS_LOGDIR
)
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.