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MongoDB That Works - MCP Server

by sourabhshegane
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    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

    A3.7/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct MongoDB operation: find vs findOne are clearly differentiated (multiple vs single document), and aggregate, count, distinct, listCollections, insertOne, updateOne, deleteOne, and getSchema have no overlapping responsibilities. The descriptions clarify the purpose of each, leaving no ambiguity for an agent.

    Naming Consistency5/5

    All tool names follow a consistent lowerCamelCase convention with a verb-first pattern (find, findOne, aggregate, count, distinct, listCollections, insertOne, updateOne, deleteOne, getSchema). The style is uniform and predictable, making it easy to infer tool behavior from the name.

    Tool Count5/5

    With 10 tools, the server is well-scoped for a MongoDB interface. It covers querying, aggregation, schema inspection, and basic CRUD operations without unnecessary bloat. Each tool serves a clear purpose, and the count is ideal for an MCP server of this domain.

    Completeness4/5

    The tool surface covers the core CRUD operations (insertOne, updateOne, deleteOne, find, findOne) and includes useful extras like aggregate, count, distinct, and getSchema. However, it lacks bulk operations (insertMany, updateMany, deleteMany) and collection management (createCollection, dropCollection), which are common in MongoDB workflows. These are minor gaps that an agent can work around by composing single-document calls, but they are noticeable.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources