MCP Servers · srbhptl39

MCP-SuperAssistant

MCP SuperAssistant is a Chrome/Firefox extension that bridges the Model Context Protocol (MCP) with popular AI chat platforms like ChatGPT, Gemini, Perplexity, and Grok. It enables users to detect and execute MCP tool calls directly within these web interfaces, with a local proxy server to handle tool execution.

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Source: GitHub — github.com/srbhptl39/MCP-SuperAssistant

2.5k

GitHub stars

335

Forks

TypeScript

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	srbhptl39/MCP-SuperAssistant
Owner	srbhptl39
Primary language	TypeScript
License	MIT — OSI-approved
Stars	2.5k
Forks	335
Open issues	95
Latest release	v0.6.0 (2026-02-09)
Last updated	2026-02-09
Source	https://github.com/srbhptl39/MCP-SuperAssistant

What MCP-SuperAssistant is

A TypeScript-based browser extension that intercepts MCP tool calls from AI responses, forwards them via SSE/WebSocket/HTTP to a local Node.js proxy server, executes MCP servers (local or remote), and reinjects results back into the chat context. Supports configuration-driven MCP server setup compatible with Claude Desktop configs.

Quickstart

Get the MCP-SuperAssistant source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/srbhptl39/MCP-SuperAssistant.git2cd MCP-SuperAssistant3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Augmenting ChatGPT/Claude-like UIs with MCP capabilities

Extend chat interfaces that lack native MCP support by adding tool execution for file ops, system commands, APIs, and data retrieval without leaving the chat.

Local development tool integration

Connect development utilities, desktop commands, and internal MCP servers to web-based AI assistants for code analysis, environment inspection, and automation workflows.

Multi-platform MCP provisioning

Reuse a single MCP server configuration across 13+ AI platforms via a shared proxy, reducing duplication and maintenance overhead.

Implementation considerations

Requires local Node.js proxy server (v0.6.0 or compatible); choose SSE, WebSocket, or Streamable HTTP transport based on your network/firewall constraints.
MCP server configuration uses JSON (compatible with Claude Desktop format); plan for centralized config management if deploying across multiple machines.
Extension lifecycle tied to browser updates and web store policies; test updates in lower environments before production rollout.
Tool detection relies on AI response parsing for function calls; non-standard response formats from custom AI models may fail silently.
Dark/light mode is auto-detected from platform theme; verify sidebar UI contrast and accessibility in your org's preferred theme.

When to avoid it — and what to weigh

Your organization requires on-premise-only architecture — Extension runs in browser context and requires a local proxy server; data flows through both. If air-gapped environments are mandatory, integration complexity increases significantly.
You need enterprise API-first integration — This is a client-side extension, not a server-side service. For API-driven workflows or backend automation, direct MCP server integration is more suitable.
Browser extension policies prohibit custom add-ons — Some enterprises block all extensions. Verify approval before deployment; native platform integrations may be required instead.
Real-time security audit or compliance certification needed — Project is 10 months old with 95 open issues; no visible third-party security review, audit trail, or formal compliance certifications mentioned.

License & commercial use

MIT License. Permissive OSI-approved license allowing commercial use, modification, and distribution with attribution.

MIT is a permissive open-source license that explicitly permits commercial use. You may use, modify, and redistribute MCP SuperAssistant in commercial products provided you include the license notice. No warranty is provided; review the full MIT license terms for your use case.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	Medium

Security considerations

Extension runs in browser and proxies MCP calls through a local Node.js server; review MCP server definitions for privilege escalation risks (e.g., shell command execution). No security audit or vulnerability disclosure policy mentioned. Ensure proxy server is bound to localhost only or uses authentication if exposed. Data flows through extension memory; inspect MCP payloads for sensitive credentials.

Alternatives to consider

Claude Desktop (native MCP support)

Official Anthropic client with built-in MCP integration; no extension or proxy needed. Limited to Claude models and Anthropic's UI.

LangChain / LlamaIndex (programmatic MCP)

Python/TypeScript libraries for embedding MCP in custom applications. Requires backend development vs. extension point-and-click.

Direct MCP server SDKs (Smithery, Composio)

Build MCP servers directly for specific platforms. Higher effort but more control; no browser extension dependency.

Software development agency

Build on MCP-SuperAssistant with DEV.co software developers

Install MCP SuperAssistant from Chrome Web Store or Firefox Add-ons, set up a local proxy server with your MCP configs, and start executing tools in ChatGPT, Gemini, and 11+ other AI platforms—no code changes required.

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MCP-SuperAssistant FAQ

Can I use MCP SuperAssistant without a local proxy server?

No. The extension requires a local Node.js proxy server to connect to MCP servers. You can start it via `npx @srbhptl39/mcp-superassistant-proxy` with a config.json file.

Does MCP SuperAssistant work with closed-source AI platforms like ChatGPT?

Yes. It works as a browser extension overlay on web UIs. It detects tool calls in AI responses and executes them via your local proxy; the AI platform itself does not need to natively support MCP.

What happens if my local proxy server goes down?

The extension will show a 'Disconnected' status. Tool calls will be detected but cannot be executed. Reconnect by restarting the proxy server and clicking the status indicator in the sidebar.

Can I use remote MCP servers instead of local ones?

Yes, if they support CORS or are proxied through the local proxy server. Add the remote URL in the extension's server URL field; Composio, Zapier MCP, and Smithery are listed as examples.

Work with a software development agency

DEV.co helps companies turn open-source tools like MCP-SuperAssistant into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your mcp servers stack.

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