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Akhilvis

Elastic MCP

by Akhilvis
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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

    B3.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: get_index_mappings retrieves schema information for a specific index, list_indices enumerates all indices, and search_index performs queries on an index. There is no overlap in functionality, making it easy for an agent to select the correct tool.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (get_index_mappings, list_indices, search_index) with clear, descriptive verbs and nouns. This uniformity enhances readability and predictability.

    Tool Count3/5

    With only 3 tools, the server feels thin for an Elasticsearch domain, which typically involves more operations like creating/deleting indices, updating mappings, or complex queries. While the tools cover basic inspection and search, the scope is limited.

    Completeness2/5

    The tool set is severely incomplete for Elasticsearch operations. It lacks essential CRUD actions such as creating or deleting indices, updating mappings, and handling documents (e.g., index, update, delete). This will cause agent failures when trying to perform common tasks beyond listing and searching.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources