SuperAPI AI Directory

Murfy

Murfy

Open website

About this tool

Murfy is an AI-native online LaTeX editor, officially positioned as a modern Overleaf alternative, mainly aimed at research teams and academic paper authors. According to the official introduction, it supports an unlimited number of collaborators, real-time editing, and does not charge per seat—the free version allows inviting an unlimited number of collaborators.

In terms of main capabilities, Murfy emphasizes the practical role of AI in the writing process, and says "writing still belongs to you, and those repeated checks no longer have to be your responsibility." Its AI can simulate the review process: eight "readers" read through the draft, and then three models cross-check each other's findings, generating review results similar to journal peer review comments but without a final decision. It can also read compilation error logs and provide fixes presented as diffs for users to accept or reject. In addition, the AI can update the table data in the paper based on results.csv, for example updating Table 1.

In terms of usage, Murfy provides autocomplete, real-time preview, and compilation that keeps up with your typing speed. All AI suggestions arrive as diffs, and users can choose to accept or discard them. Comments and overnight changes are proactively pushed to users. Every version is retained, and users can roll back to any point in time. Users can also start writing from conference, journal, or thesis templates.

Murfy supports MCP integration, allowing Claude Code, Cursor, or ChatGPT to be connected through MCP, so that AI can directly update results in Murfy papers and adapt to page limits.

Regarding pricing and credits, the official description states that AI paper review and compilation error fixes consume AI credits, and the Starter plan provides 1,000 credits per month for free. The official page says it is trusted by researchers at leading institutions and can be started for free without a credit card.

The main use cases are research teams collaboratively writing papers, submission preparation, and formatting adjustments. In terms of limitations, the official materials do not explain in detail the specific credit consumption rules, paid tiers and prices, supported compilation environment details, or guarantees of AI review accuracy; this information is not currently provided.