Asks the AI model to pass conversation data or secrets
Model-facing text instructs the AI model to place conversation content, prompts, tool history or secrets into tool arguments or external destinations.
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Detected by Squatch rules from the server's metadata and protocol behavior. Latest completed scan: .
Model-facing text instructs the AI model to place conversation content, prompts, tool history or secrets into tool arguments or external destinations.
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Suggested fix: Do not ask the model to include conversation, prompt or credential content in arguments.
Model-facing text gives the AI model instructions about tools that this server does not provide (tool shadowing).
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Suggested fix: Describe only this server's own tools.
The server's instructions field contains directives addressed to the AI model beyond describing how to use the server.
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Suggested fix: Limit server instructions to usage guidance for this server's own tools.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
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Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
The remote server lists state-changing tools without requiring authentication.
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Suggested fix: Require MCP authorization for servers that expose state-changing tools.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool parameter asks the AI model to supply a password, token, key or similar credential, which the model can see and repeat.
First seen · Last seen
Suggested fix: Obtain credentials through server-side configuration or MCP authorization instead of tool arguments.
A tool that appears to delete data, change permissions or run code declares no tool annotations.
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Suggested fix: Declare readOnlyHint, destructiveHint, idempotentHint and openWorldHint so clients can request confirmation.
A tool that appears to delete data, change permissions or run code declares no tool annotations.
First seen · Last seen
Suggested fix: Declare readOnlyHint, destructiveHint, idempotentHint and openWorldHint so clients can request confirmation.
A tool that appears to delete data, change permissions or run code declares no tool annotations.
First seen · Last seen
Suggested fix: Declare readOnlyHint, destructiveHint, idempotentHint and openWorldHint so clients can request confirmation.
A tool that appears to delete data, change permissions or run code declares no tool annotations.
First seen · Last seen
Suggested fix: Declare readOnlyHint, destructiveHint, idempotentHint and openWorldHint so clients can request confirmation.
The server failed one or more MCP protocol conformance checks.
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Suggested fix: Review the failed checks against the MCP specification.
No source repository is linked in the registry entry.
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Suggested fix: Add a repository to server.json.