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zhenyun-pangun-mcp

zhenyun-pangun-mcp

by nichuan
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.4/5.0

    Scored across 17 tools

    Disambiguation5/5

    Each tool serves a distinct purpose within its domain: log query tools are clearly separated by data source (Loki vs. SLS) and environment, database tools cover different schema operations, and issue tools handle specific retrieval tasks. No two tools overlap in function.

    Naming Consistency4/5

    Most tools follow a consistent 'service_operation' pattern (e.g., obs_log_query, archery_query, choerodon_list_issue). The only deviation is 'search_repo' which lacks the service prefix, but it still uses a clear verb_noun format. Overall naming is predictable and readable.

    Tool Count4/5

    17 tools covering logging, database operations, issue tracking, and code search is on the higher side but justified given the diverse domains. Each tool serves a specific need, and the count is appropriate for the server's multi-purpose scope.

    Completeness2/5

    The tool surface is heavily read-oriented: logging and database tools allow querying but not modification. Issue tracking is particularly incomplete, lacking create, update, and delete operations. Agents will encounter dead ends when trying to perform standard CRUD workflows.

    Maintenance

    ActivityActive
    ResponsivenessNo recent community issues

    Resources