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Avinash-Amudala

MCP-Telecom

by Avinash-Amudala
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 58 tools

    Disambiguation5/5

    Each tool targets a specific network operation or data type (e.g., show_interfaces vs show_interface_detail, show_bgp_summary vs show_bgp_neighbors). Parallel variants are clearly distinguished from single-device tools. The only potential overlap (run_command vs run_vendor_operation) is resolved by descriptions. All tools have distinct purposes.

    Naming Consistency5/5

    Nearly all tools follow a consistent verb_noun pattern (backup_config, compare_configs, health_check, show_interfaces, telemetry_subscribe, etc.). The clab_ prefix group is consistent within itself, and the overall naming is predictable and easy to navigate.

    Tool Count3/5

    With 58 tools, the server is quite large. While each tool serves a specific purpose in network management, the count feels excessive for a single MCP server. Many show_* tools (20+) and parallel variants add to the number. A more streamlined set could reduce cognitive load without losing functionality.

    Completeness4/5

    The tool surface covers a comprehensive range of network operations: configuration backup/comparison, health checks, detailed show commands, SNMP, NETCONF, telemetry, topology discovery, compliance, and parallel execution. The only notable gap is the lack of configuration write operations, but that aligns with the server's read-only focus. Overall, the domain is well-covered.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources