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BaseMcpServer MCP Server

@dawsonlp

Repository

Basic information

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Other

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Author

dawsonlp

About BaseMcpServer MCP Server

A minimal containerized base for MCP servers using the MCP Python SDK

BaseMcpServer MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "BaseMcpServer": {
      "command": "uv",
      "args": [
        "tool",
        "install",
        "git+https://github.com/dawsonlp/BaseMcpServer.git#subdirectory=utils/mcp_manager"
      ]
    }
  }
}

BaseMcpServer MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is BaseMcpServer?

A monorepo of Model Context Protocol (MCP) servers plus the mcp-manager CLI, which installs and configures them. It includes servers for Jira/Confluence integration, current-context tools, and a server generator, all sharing a common infrastructure.

How to use BaseMcpServer?

Install uv and mcp-manager via a one‑line curl command, then use mcp-manager install local <server> --source <path> to install individual servers. After editing per‑server config files, run mcp-manager config sync to wire all servers into VS Code/Cline and Claude Desktop over stdio.

Key features of BaseMcpServer

  • mcp-manager CLI for installing, managing, and configuring MCP servers
  • Each server runs in its own isolated uv‑managed virtual environment
  • Single config sync command updates both Cline and Claude Desktop
  • Multi‑instance Jira + Confluence server (jira-helper)
  • Current‑context tools: date/time, market, news, dev‑tool versions (worldcontext)
  • Server generator that scaffolds new MCP servers from a code snippet (mcpservercreator)
  • Starter template for building custom servers with shared infrastructure

Use cases of BaseMcpServer

  • Deploy and manage multiple MCP servers across editors from a single CLI
  • Automate Jira and Confluence workflows via an LLM‑connected MCP server
  • Provide an AI agent with current context such as date, market data, and news
  • Generate a new MCP server on‑the‑fly from a code snippet for prototyping
  • Fork the template to build a new server with robust tool registration and logging

Frequently asked questions

1

What does `mcp-manager` do?

It installs MCP servers from local sources, manages their isolated `uv` environments under `~/.config/mcp-manager/servers/<name>/.venv`, and writes `mcpServers` entries to both Cline and Claude Desktop configuration files via `mcp-manager config sync`.

2

How are servers installed and configured?

First install `mcp-manager` with `uv tool install`, then run `mcp-manager install local <server> --source <path>` for each server. Edit the per‑server config file (e.g., `~/.config/mcp-manager/servers/jira-helper/config.yaml`) to add credentials, then run `mcp-manager config sync` to enable the servers in your editors.

3

Does `config sync` overwrite my hand‑added editor entries?

No. Only entries whose server name matches a server in the mcp‑manager registry are overwritten. Hand‑added entries in your editor’s settings file are preserved across `config sync`.

4

What runtime does BaseMcpServer require?

Python and [`uv`](https://docs.astral.sh/uv/). Each server runs as a Python package inside its own `uv`‑managed virtual environment.

5

How do I connect a client after installing servers?

Run `mcp-manager config sync` to write stdio‑based `mcpServers` entries to both Cline and Claude Desktop. Restart your editor for the new entries to take effect.

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