mcporter for MCP
Mcporter: The Bridge for AI Clients and Developers to MCP Servers
- Free
- 4.9
- V v0.13.10
Mcporter: The Bridge for AI Clients and Developers to MCP Servers
Mcporter, developed by Openclaw, is an MCP server tool built with TypeScript and running on Node.js. It acts as a bridge, allowing AI clients and developers to interact with Model Context Protocol servers. Distributed via npm, Homebrew, and macOS binaries, Mcporter enables connections to various external systems that expose an MCP interface. It provides a command-line interface for discovering, invoking, and managing MCP resources, making it a central utility for modern AI-driven development.
What does Mcporter connect to?
Mcporter connects to Model Context Protocol (MCP) servers, serving as a bridge for AI clients and developers. Its primary role is to enable interaction with these servers, which expose an MCP interface. This tool manages connections to diverse external systems and services. It supports stdio, Streamable HTTP, and legacy SSE transport protocols, with Streamable HTTP replacing older HTTP+SSE. Confirmed compatible AI clients include OpenClaw, Claude Code, Cursor, and VS Code, with ChatGPT and Gemini also adopting MCP.
Core features and tools
Mcporter offers a suite of callable tools for MCP server interaction. Use mcporter list to discover servers, and mcporter call to invoke tools or read resources. mcporter resource reads or lists MCP resources. mcporter auth completes OAuth flows, while mcporter vault manages authentication configuration. Developers can generate focused CLIs with mcporter generate-cli and TypeScript types using mcporter emit-ts. Session management includes mcporter record and mcporter replay. Configuration is handled by mcporter config, and persistent connections by mcporter daemon and mcporter serve. mcporter inspect-cli examines generated CLIs.
Who is it for?
Mcporter targets developers and coding agents needing to interact with MCP tools across different environments, including terminals, scripts, and generated CLIs. It supports workflows like directly discovering and calling MCP tools, integrating MCP servers with AI agents, and generating custom interfaces. AI agents such as OpenClaw benefit from its ability to manage server connections and generate TypeScript types for strongly-typed interactions. Skip this if you do not interact with Model Context Protocol servers or coding agents.
How to get started
Access is granted through a standard OAuth authorization flow. It supports stdio, Streamable HTTP, and legacy SSE transport protocols.
Use cases
- Discovering and calling MCP tools directly: Developers use "mcporter list" and "mcporter call" for direct interaction and debugging.
- Integrating MCP servers with AI agents: Mcporter manages MCP server connections, allowing agents to call external tools via its CLI, often with generated TypeScript types.
- Generating custom interfaces for MCP servers: Developers create standalone CLIs with "mcporter generate-cli" or TypeScript clients and types using "mcporter emit-ts".
Mcporter is a vital tool for interacting with Model Context Protocol servers, especially for developers and AI agents. Its command-line interface and support for various transport protocols make it adaptable for different development needs. The OAuth 2.1 authentication model ensures secure interactions, with options for both interactive and headless deployments. It simplifies connecting AI clients to external tools. Try using "mcporter list" to explore available tools on an MCP server.
Pros
- Connects AI clients to MCP servers.
- Supports multiple transport protocols.
- Generates custom CLIs and TypeScript types.
- Strong OAuth 2.1 authentication model.
Cons
- Initial OAuth flow often requires a browser.
- Headless deployments demand manual token provision.
- Requires token validation on every request.
mcporter for MCP
- Free
- 4.9
- V v0.13.10
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