Mcp Client Manager

    1

    Use mcporter to manage MCP servers: list, install, configure, authenticate, inspect tool schemas and call tools over stdio or HTTP. Routes agent tool requests t

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    I need to add the filesystem MCP server located at /srv/data and then verify it can list tools.

    Your agent does

    Run: `mcporter add my-fs -- npx -y @modelcontextprotocol/server-filesystem /srv/data` Then verify with: `mcporter call my-fs list` This registers the server and dumps the tool schema to ensure the agent can see the available functions.

    What you get

    Register local and remote MCP servers through a single interface.Test tool calls with JSON arguments to verify behavior.Manage environment variables and API keys for MCP tool authentication.Inspect tool definitions and schemas for agent capability mapping.

    About this skill

    The problem

    Managing multiple Model Context Protocol (MCP) servers manually leads to fragmented configurations, hard-coded secrets, and difficult debugging. Developers struggle to test tool schemas and verify connections across different transports like stdio and SSE before deploying agents.

    What it does

    • Registers and manages local stdio or remote HTTP/SSE MCP servers via a unified CLI.
    • Handles environment-based authentication and configuration without leaking secrets in code.
    • Inspects tool schemas and provides a direct interface to invoke tools with JSON arguments for smoke testing.
    • Centralizes server logs for troubleshooting startup crashes or runtime errors.
    • Maintains a portable configuration file at ~/.mcporter/config.json for environment consistency.

    Frameworks & tools

    Uses mcporter, Node.js, and the Model Context Protocol (MCP). Supports servers built with Python, TypeScript, and local binaries.

    Why this beats prompting it yourself

    Generic agents often fail to correctly configure the nuances of MCP transports or handle JSON-encoded arguments for tool calls. This skill provides the exact commands and troubleshooting steps needed to bridge the gap between an agent and its underlying tool infrastructure reliably.

    Use cases

    • Connect an agent to a local filesystem or database MCP server.
    • Verify a custom tool's JSON schema and output behavior before production.
    • Configure remote MCP tools using secure headers and environment variables.
    • Debug failing MCP servers by accessing process logs and stderr output.

    Known limitations

    Requires mcporter to be installed via npm. Not designed for authoring new MCP servers from scratch.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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