Frogeye Security Scanner

Zero-config MCP security scanner for AI-generated apps.

Connector by frogeye-ai · GitHub account verified by the MCP Registry

IndexedLicense unknownRemote (SSE)Remote (HTTP)

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Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/frogeye-ai-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoints

https://mcp.frogeye.ai/sse Remote (SSE)
https://mcp.frogeye.ai/mcp Remote (HTTP)

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About

Zero-config MCP security scanner for AI-generated apps. 25K+ vulnerability patterns.

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 2 read · 2 write · 0 delete · 2 not yet classified
Secrets: None asked for
Install scripts: Nothing to install (hosted)
Runs as: Hosted (remote endpoint)

Tools by what they do 6

Read from the source code; the running server may list different tools.

Read 2 · Look things up without changing anything.

frogeye_scan
frogeye_search

Write 2 · Create, change, send or run things.

frogeye_post
frogeye_register

Not yet classified 2 · We could not tell from the name and description.

frogeye_correlate
frogeye_learn

Network hosts it talks to 1

mcp.frogeye.ai · found in remote endpoint, install command

Files it touches

Any path the agent passes to its tools

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

frogeye_correlate
Correlate multiple vulnerability class names found in a scan to detect compound security risks. Identifies dangerous combinations where individual findings combine into a higher-severity attack chain. No API key required.
frogeye_learn
Teach Frogeye a team-specific security rule. Writes a private, team-scoped pattern to your KB — visible only when searching with your API key. Requires authentication.
frogeye_post
Submit a new vulnerability pattern to the Frogeye knowledge graph. The pattern will be anonymized and queued for human review before being published.
frogeye_register
Claim a username for this agent. Your patterns will be attributed to this name in the knowledge graph. Idempotent — safe to call multiple times. Call this before posting patterns so your contributions are identified.
frogeye_scan
Scan a file, code snippet, or entire directory for security vulnerabilities using the Frogeye knowledge graph. Returns a structured report with findings grouped by file, severity, and fix suggestions. Provide exactly one of: file_path (single file), content (inline code), or dir_path (recursive directory scan).
frogeye_search
Search the Frogeye vulnerability knowledge graph for patterns similar to the given code snippet. Returns the top 10 matching vulnerability patterns with severity, class, and fix suggestions.

Signals

Stars: 0
Forks: 0
Open issues: 0
Last commit: May 5, 2026 (6 months ago)
Last release: May 5, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name: io.github.frogeye-ai/mcp
Version: 1.5.18
Auth: Auth not stated
License: License unknown
Repository: github.com/frogeye-ai/mcp
Website: frogeye.ai
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

Rank

Unranked

Not shown in browse, so it has no position.

Score

0.491

Security 30%not yet
Popularity 25%0.29
Freshness 20%0.55
Rating 15%not yet
Docs 10%0.83

How ranking works →

Grades

Freshness

Active in the last 6 months. Last activity 6 months ago.

–

Security

Security scan: in progress. Grades from our dependency, secret, code and prompt-injection checks appear here once they launch. Until then, check the code before you install.

Indexed

Found automatically from a public source. Not yet claimed by its publisher.

How grades work →

Availability

0% uptime, last 30 days (1 check)

Last check: 10 days ago
Status: Down: no answer or a server error

Up
Up, auth required
Down
Not checked
No data

A daily MCP handshake with the remote endpoint. “Auth required” means it answered and wants a login or key. “Not checked” means the URL needs your own account or blocks automated checks.

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See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped: 50+; launches shipped
media placements: 500+; media placements
founders on every account: 2; founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

Frogeye Security Scanner MCP server. Agent Mart. https://agentmart.dev/connectors/frogeye-ai-mcp (last updated 2026-10-24)