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PeerGlass

by duksh

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      Gives AI agents access to public internet interconnection data, letting them look up which networks connect to each other, at which internet exchanges and facilities they are present, under what peering policy, and who a given IP range or AS number is registered to. Responses are compact, sourced and aged, and it distinguishes missing records from genuinely absent networks rather than guessing.
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    • A
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      Enables network information lookup through WHOIS and RIPE Database queries. Supports domain/IP/ASN lookups, AS-SET expansion, route validation, and contact information retrieval across multiple Regional Internet Registries.
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    TDQS

    A4.1/5.0

    Scored across 42 tools

    Disambiguation4/5

    Most tools have distinct purposes, with clear separation between categories like DNS, RIR queries, and internet health monitoring. However, some overlap exists within categories, such as multiple DNS tools that could be confused (e.g., dns_resolve vs dns_enumerate vs dns_propagation), and RIR tools like query_ip and query_asn that might be ambiguous without careful reading of descriptions.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with a clear prefix structure: 'peerglass_' for internet health tools and 'rir_' for RIR-related tools. This predictable naming convention makes it easy to understand the tool's domain and purpose at a glance, with no deviations or mixed styles.

    Tool Count2/5

    With 42 tools, the count is excessive for a single server, making it overwhelming and difficult for an agent to navigate efficiently. While the domain (internet infrastructure and health monitoring) is broad, the tool set feels bloated and could benefit from consolidation or splitting into multiple focused servers to improve usability.

    Completeness5/5

    The tool set provides comprehensive coverage for internet infrastructure analysis, including DNS, BGP, RIR data, threat intelligence, and censorship detection. It supports full CRUD-like operations where applicable (e.g., monitoring registration and detection) and leaves no obvious gaps, enabling agents to perform end-to-end analyses without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues