Smithery Anirbanbasu Pymcp
Primarily to be used as a template repository for developing MCP servers with FastMCP in Python, P…
About This MCP Server
Primarily to be used as a template repository for developing MCP servers with FastMCP in Python, P… This MCP server enables AI assistants like Claude to seamlessly interact with Smithery Anirbanbasu Pymcp, providing structured access to its functionality through the Model Context Protocol (MCP).
Key Capabilities:
- Manage repositories and version control operations
- Review and analyze code changes
- Automate code review and quality checks
- Track issues and project management
Common Use Cases:
- AI-assisted code review and analysis
- Automating repository management tasks
- Streamlining development workflows
- Tracking and managing project issues
How It Works: Smithery Anirbanbasu Pymcp integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke Smithery Anirbanbasu Pymcp's tools, enabling natural language interaction with its features without manual API calls or custom integrations.
Technical Details: Server type: Remote
Tools & Endpoints12
What Problems It Solves
- PyMCP can be started standalone as a MCP server with stdio transport by running the following. Alternatively
- it can be started using streamable-http or sse transports by specifying the transport type using the MCP_SERVER_TRANSPORT environment variable.
Specifications
Requirements
- The directory where you clone this repository will be referred to as the _working directory_ or _WD_ hereinafter.
- Install uv. Install just. To install the project with its minimal dependencies in a virtual environment, run the following in the _WD_. To install all non-essential dependencies (_which are required for developing and testing_), replace the install taget with the install-all target in the following command.
Hosting
Hosting Options
- Remote
API
Integrate this server into your application. Choose a connection method below.
Install
npx @modelcontextprotocol/inspector uv run pymcpConfigure
{
"command": "uv",
"args": [
"run",
"pymcp"
]
}Performance
Usage
Quick Reference
- Name
- Smithery Anirbanbasu Pymcp
- Function
- Primarily to be used as a template repository for developing MCP servers with FastMCP in Python, P…
- Available Tools
- Greets the caller with a quintessential Hello World message., Input(s), name: _string_ (_optional_): The name to greet. Default value is none., Output(s), TextContent with a UTC time-stamped greeting., Generates a random password with specified length, optionally including special characters and conforming to the complexity requirements of at least one lowercase letter, one uppercase letter, and two digits. If special characters are included, it will also contain at least one such character., Input(s), length: _integer_: The length of the generated password. The value must be an integer between 8 and 64, both inclusive., use_special_chars: _boolean_ (_optional_): A flag to indicate whether the password should include special characters. Default value is False., Output(s), TextContent with the generated password., Searches the web with a text query using the Dux Distributed Global Search (DDGS).
- Transport
- Remote
- Install
- npx @modelcontextprotocol/inspector uv run pymcp
- Source
- External (Registry)
- License
- Open Source
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