mcpserver-local
Click on "Install 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., "@mcpserver-localgreet Ada"
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.
Local MCP Server
This project is a small Python MCP server implemented with mcp and managed with uv. It is bootstrapped / created entirely using Copilot agent with mcp-server-dev SKILLS.
Launch the server
From the repository root:
cd <project folder>
uv run mcpserver-localThis starts the MCP server using the default MCP transport, which is the stdio transport.
Related MCP server: mcpscope
Quick local test
A simple CLI helper is available for manual testing:
uv run mcpserver-local-cli greet Ada
uv run mcpserver-local-cli add_numbers 2 3
uv run mcpserver-local-cli system_info
uv run mcpserver-local-cli helpHow a client / agent connects
The server is designed for local process-based connection via stdin/stdout. A client or agent can spawn uv run mcpserver-local and exchange MCP messages over the process pipes.
Local client pattern
A typical client uses a subprocess to launch the server and then sends/receives MCP frames on stdin/stdout.
Example pseudo-code:
import subprocess
proc = subprocess.Popen(
["uv", "run", "mcpserver-local"],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
# exchange MCP JSON/RPC frames with proc.stdin / proc.stdout
# depending on the MCP client implementationNotes
mcpserver-local-cliis a convenience tool for local testing, not a transport endpoint for external MCP clients.If you need network access later, the server can be extended with a transport that supports TCP or websockets.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/khteh/mcpserver-local'
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