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manthanghasadiya/mcpsec

An AI-driven dynamic protocol fuzzer for the Model Context Protocol (MCP). Prove runtime exploitability by discovering state violations, transport crashes, and application-layer logic flaws (SSRF, LFI) before your AI agents do.

Visit GitHub
Python
27
3
2 contributors
MIT License
FeaturedAdvertise to 180K+ monthly visitors
Bifrost

Fastest Enterprise AI Gateway for Routing, Governing, and Securing all your AI Traffic

Momentum

How fast manthanghasadiya/mcpsec is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 8 – Oct 27, 2026

Stars +4 in 50 days

01
1

Forks +0 in 50 days

01

Merged PRs 0 in 50 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 8Sep 15Sep 22Sep 29Oct 6Oct 13Oct 20Oct 27
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Sep 8, 2026+1+00
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Total+4+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jul 161 post

    • Same root cause every time: AI tools trust input they shouldn't. MCP servers assume the LLM is the only caller. It's not. Every tool parameter is attacker-controlled.

      Read full on X, posted by @g_m_j_2703

      @g_m_j_2703 · x.com

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