Alternatives · MCP Servers
MCP SuperAssistant alternatives
Looking for an alternative to MCP SuperAssistant? Below are the mcp servers in our index that do a similar job — open-source options are ranked by real maintained adoption (GitHub stars and recent commit activity), never by sponsorship. MCP SuperAssistant is open source, so the list below includes both other self-hostable projects and commercial products.
A Chrome extension that brings MCP tools to ChatGPT, Gemini, Perplexity, Grok, AI Studio and other web chats.
Open source · 2.6k stars · TypeScript · MIT · updated Feb 2026
Open-source alternatives to MCP SuperAssistant
— Licensing differs: MCP SuperAssistant is MIT, DeepChat is Apache-2.0.
— Pricing model differs — MCP SuperAssistant is open source, 5ire is free.
— MCP SuperAssistant is written primarily in TypeScript; ChatMCP in Dart.
— Licensing differs: MCP SuperAssistant is MIT, Witsy is AGPL-3.0.
— Best for a cross-platform desktop chat app for MCP tools with local or hosted models.
— MCP SuperAssistant is written primarily in TypeScript; mcphub.nvim in Lua.
— Licensing differs: MCP SuperAssistant is MIT, MCP Reference Servers is MIT AND Apache-2.0.
— Best for giving coding agents up-to-date library documentation via MCP.
— Licensing differs: MCP SuperAssistant is MIT, chrome-devtools-mcp is Apache-2.0.
— Licensing differs: MCP SuperAssistant is MIT, Playwright MCP is Apache-2.0.
Frequently asked
- What is the best alternative to MCP SuperAssistant?
- DeepChat is the most widely-adopted open-source alternative in our index (6.3k GitHub stars). The full ranked list is above — the best fit depends on your language, license, and budget.
- Is there a free or open-source alternative to MCP SuperAssistant?
- Yes. DeepChat, 5ire, and ChatMCP are open-source mcp servers you can self-host for free — you still pay for the infrastructure you run them on and any model or API usage. See the ranked open-source list above.
- How are these MCP SuperAssistant alternatives ranked?
- Every product in the mcp servers category is a candidate. Open-source alternatives are ranked by maintained adoption — GitHub stars plus recent commit activity — so you see what's genuinely used, not abandoned. Commercial products are listed separately and alphabetically, because stars don't measure commercial adoption. Sponsored placement is always labeled and never affects the ranking.