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Let AI query Tenzir, manage schemas, and generate security parsers.
This MCP tool is described as interfacing with the Tenzir security data pipeline engine. The materials show no required secrets and no declared remote endpoints, with no clear high-risk red flags, but its query/parsing capabilities and limited source maturity signals suggest cautious use in a constrained environment.
The materials explicitly state that no keys or environment variables are required. No API tokens, account credentials, or other sensitive authentication secrets are requested, so credential exposure risk appears low.
No remote host is declared, and the description does not show a required external service for sending user data. Based on the provided materials, there is no clear outbound data path, although the missing README leaves implementation details unverified.
The system flags this tool as executes-code, and its described functions include executing Tenzir pipeline queries, managing schemas, and generating parsers, indicating the ability to trigger local tool logic or processes. This is a common MCP capability, but the scope of prompt-driven actions should be monitored.
As an interface to a security-operations data pipeline engine, the tool may access data, schemas, and parser definitions visible to Tenzir. The materials do not specify file paths, read/write boundaries, or least-privilege controls, so it should be treated cautiously for bounded data access.
Having an auditable open-source repository is a positive sign, but it comes from a third-party registry, has 0 stars, unknown maintenance status, no declared license, and no README, which limits confidence in maturity and stewardship. It is best treated as an auditable but low-maturity third-party component.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Tenzir MCP Server" yet — see the docs or source repo.
Connect to Tenzir, query all high-severity alert events from the last 24 hours, and return the top 10 source IPs in a table.
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A summary of relevant schemas, missing fields, and actionable field-mapping recommendations.
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Parser code or configuration, plus field explanations and the corresponding schema mappings.
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