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MCP OAuth Client Web

MCP Server

Browser-based MCP client with full OAuth integration

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Updated May 6, 2025

About

A web application that implements an MCP client supporting end-to-end OAuth, enabling secure connection to MCP servers. It handles token acquisition, transport setup, and provides a UI for inspecting tool interactions.

Capabilities

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

Demo of MCP OAuth Client Web

Overview

The Mcp Oauth Client Web is a browser‑based MCP client that implements full OAuth 2.0 authentication and real‑time transport with an MCP server. It solves the common pain point of connecting AI assistants to third‑party services that require secure, delegated access: instead of hard‑coding credentials or manually exchanging tokens, the client handles the entire OAuth flow and then establishes a bi‑directional HTTP transport to exchange MCP messages. This enables developers to integrate any OAuth‑protected API as a first‑class tool source for Claude or other MCP‑compliant assistants.

What the server does and why it matters

At its core, the client provides a seamless bridge between a web user interface and an MCP server that exposes tools, prompts, and resources. After the OAuth dance, the client creates a transport channel, connects to the server, retrieves its capabilities, and presents them in an interactive UI. Developers can then invoke any available tool from the Run panel, supplying parameters through a form, and immediately inspect raw request/response payloads in the Inspect panel. This end‑to‑end visibility is crucial for debugging complex workflows, ensuring correct parameter mapping, and validating server behavior before integrating the tool into an AI assistant.

Key features in plain language

  • OAuth 2.0 integration – automatically redirects users to the server’s endpoint, exchanges authorization codes for access tokens at , and stores credentials in session storage.
  • Two‑step connection logic – first obtains a token, then establishes the HTTP transport and pulls server capabilities.
  • Tool discovery UI – lists all tools provided by the MCP server once a connection is established.
  • Parameter input and execution – users can manually supply tool arguments in the Run panel, triggering a real tool call.
  • Transport inspection – every request and response is logged in the Inspect panel, giving developers full visibility into the MCP protocol exchange.

Use cases and real‑world scenarios

  • Rapid prototyping – developers can quickly connect to an MCP server that protects a sensitive API, test tool functionality, and iterate on parameter schemas without writing backend code.
  • Debugging assistant integrations – by inspecting the raw MCP traffic, engineers can pinpoint mismatches between expected and actual tool signatures or troubleshoot authentication failures.
  • On‑boarding new services – the UI makes it straightforward for non‑technical stakeholders to see which tools are available and how they behave, facilitating stakeholder reviews before production deployment.
  • Security audits – the OAuth flow and token storage are fully exposed, allowing security teams to verify that credentials never leave the browser session.

Integration with AI workflows

Once a tool list is available, developers can copy the MCP endpoint and tool schema into an AI assistant’s configuration. The client demonstrates how the assistant can send a request to the tool, receive a structured response, and pass that back into the conversation. Because the client mirrors the exact message format used by real assistants, it serves as a live test harness for any MCP‑compliant workflow. The clear separation of OAuth handling, transport setup, and tool invocation makes it easy to embed this logic into larger application stacks or CI pipelines.

Unique advantages

Unlike generic MCP inspectors, the Mcp Oauth Client Web focuses on OAuth‑protected servers and provides an end‑to‑end, browser‑centric experience. Its minimalistic design keeps the UI lightweight while still offering full transport visibility, making it ideal for developers who need a quick, secure way to explore and validate OAuth‑enabled MCP services before wiring them into AI assistants.