AAwesome MCP ServersAwesome MCP Servers for ... everything
mcp-so:awesome-mcp-servers_serp-ai
View sourceFirst Seen
Feb 18, 2026
Last Scanned
Feb 18, 2026
Findings
9
Score
0/100
Findings (9)
Detects fetching external URLs and using the content as agent instructions or rules
prompts via a remote Comfy serverSanitize or validate all external inputs (file contents, API responses, user messages) before including them in prompts or tool calls. Implement input/output boundaries between trusted and untrusted data.
Likely FP if the matched text is the skill's own instruction set describing how to handle user input, not an actual injection payload.
Detects skills that read remote markdown or documentation and apply it as operational rules
load entire Windows working web + use as contextTreat tool outputs as untrusted data. Do not act on directives found in tool responses without explicit user confirmation. Implement output validation before acting on tool results.
Likely FP if the match is a skill description explaining that it processes tool outputs, rather than a payload designed to hijack the agent via tool responses.
Detects zero-width characters used to hide content
Remove hidden directives embedded in markdown, HTML comments, or encoded text. All agent-facing text should be explicit and visible in the skill definition.
Likely FP if the match is a standard markdown formatting pattern or HTML comment used for documentation rather than concealing directives.
Detects zero-width characters used to hide content
Remove hidden directives embedded in markdown, HTML comments, or encoded text. All agent-facing text should be explicit and visible in the skill definition.
Likely FP if the match is a standard markdown formatting pattern or HTML comment used for documentation rather than concealing directives.
Detects fetching external URLs and using the content as agent instructions or rules
prompts via a remote Comfy serverSanitize or validate all external inputs (file contents, API responses, user messages) before including them in prompts or tool calls. Implement input/output boundaries between trusted and untrusted data.
Likely FP if the matched text is the skill's own instruction set describing how to handle user input, not an actual injection payload.
Detects zero-width characters used to hide content
Remove hidden directives embedded in markdown, HTML comments, or encoded text. All agent-facing text should be explicit and visible in the skill definition.
Likely FP if the match is a standard markdown formatting pattern or HTML comment used for documentation rather than concealing directives.
Detects zero-width characters used to hide content
Remove hidden directives embedded in markdown, HTML comments, or encoded text. All agent-facing text should be explicit and visible in the skill definition.
Likely FP if the match is a standard markdown formatting pattern or HTML comment used for documentation rather than concealing directives.
Benign heading "'@openai/agents:*'\n;\n// Verbose logging\n..." followed by dangerous content (category: credential_access)
awesome-mcp
Awesome MCP Servers for ... everything
Overview
Tools
Comments
Overview
Awesome MCP Servers
Welcome to the Biggest Database of
MCP Servers
— a centralized directory of publicly accessibl...Ensure section headings accurately reflect the content that follows. Remove headings that could mislead an LLM into treating content differently than intended.
Likely FP if the heading mismatch is due to inconsistent markdown formatting or a benign section title that happens to contain keywords like system or config.
Detects patterns where external API responses are used directly without validation or sanitization
API
Research & Data + without requiring useValidate and sanitize all data received from external APIs before using it in tool operations or agent prompts. Implement schema validation and treat API responses as untrusted input.
Likely FP if the match is a truncated table cell or documentation fragment that mentions API responses in a descriptive context, not actual unvalidated data processing.