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Salesforce MCP Server

by sudhakar6
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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

    A3.8/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool targets a clearly distinct capability: CRUD, SOQL query, SOSL search, bulk operations, composite calls, metadata lookup, API usage, and org health. Near-overlapping tools like sf_query vs sf_bulk_query and sf_api_usage vs sf_org_health are explicitly differentiated in their descriptions.

    Naming Consistency4/5

    The sf_ prefix and snake_case style are consistent, and core record operations follow a clear verb_noun pattern. Minor deviations exist with noun-style names like sf_composite, sf_api_usage, and sf_org_health, but the overall pattern remains predictable.

    Tool Count5/5

    At 15 tools, the server sits at the upper end of the ideal range but every tool earns its place given Salesforce's broad API surface. There is no obvious redundancy or bloat; the count feels well-scoped for the domain.

    Completeness5/5

    The tool set covers the full standard record lifecycle (create, read, update, upsert, delete), plus query/search, metadata discovery, bulk processing, composite transactions, custom Apex REST calls, and API/org health checks. No critical dead ends exist for typical Salesforce integration workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources