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MCP Salesforce Connector

by ampcome-mcps
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Python

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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 10 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between 'restful', 'apex_execute', and 'tooling_execute' as they all involve making API calls to Salesforce, which could cause confusion. The CRUD operations and query tools are clearly differentiated.

    Naming Consistency4/5

    The naming is mostly consistent with a verb_noun pattern, but there are minor deviations like 'restful' (adjective instead of verb) and 'tooling_execute' (noun_verb instead of verb_noun). Overall, the pattern is readable and predictable.

    Tool Count5/5

    With 10 tools, the count is well-scoped for a Salesforce connector, covering core operations like CRUD, queries, and API interactions. Each tool serves a specific function without being overwhelming.

    Completeness5/5

    The tool set provides comprehensive coverage for Salesforce operations, including CRUD, metadata retrieval (get_object_fields), querying (SOQL/SOSL), and various API calls (REST, Apex, Tooling). There are no obvious gaps for typical agent workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources