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Mcp Serverman

MCP Server

CLI tool for MCP server configuration & version control

Stale(50)
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Updated Aug 28, 2025

About

Mcp Serverman is a command‑line manager that lets you configure, version‑control, and profile Claude MCP servers. It also offers a companion server that lets LLMs manage your MCP configuration automatically.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MCP Serverman in Action

MCP Serverman is a command‑line configuration manager designed to streamline the lifecycle of Model Context Protocol (MCP) servers. In many AI‑assistant ecosystems, developers must juggle multiple server instances, each with its own JSON configuration, API keys, and feature toggles. Serverman centralises these tasks by providing a single interface for adding, enabling, disabling, and version‑controlling server definitions. This eliminates the risk of configuration drift and simplifies auditability—every change is recorded with a comment, and previous versions can be restored instantly.

The tool offers a rich set of features that make it invaluable for teams building or maintaining AI workflows. Preset and profile management lets developers capture common server setups (e.g., a “production” or “sandbox” profile) and load them with a single command, ensuring consistency across environments. Multiple client support means you can maintain separate configurations for different MCP clients such as Cline or MCP‑Bridge, and even copy or merge them effortlessly. Version control is built into the CLI: you can a snapshot, to an older version, or obsolete servers without touching the underlying files manually.

A standout capability is the companion MCP server that can be installed alongside Serverman. This lightweight server exposes an API for Claude or other LLMs to query and modify the configuration on demand. Developers can therefore let an assistant suggest server tweaks, disable a problematic endpoint, or roll back to a known‑good state—all without leaving the chat interface. This tight integration turns configuration management into an interactive, AI‑driven workflow.

In real‑world scenarios, Serverman shines when multiple teams share a fleet of AI services. For example, a data science team can maintain separate “test” and “production” server pools; an operations engineer can quickly toggle a failing endpoint while the developer continues to iterate on new tools. The command‑line interface also integrates cleanly into CI/CD pipelines, allowing automated provisioning and rollback during deployment cycles. By centralising configuration, versioning, and remote management, MCP Serverman reduces operational overhead and empowers developers to focus on building smarter assistants rather than wrestling with server plumbing.