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mcp-abacus

mcp-abacus

by laszlopere
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Python
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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

    A4.2/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct action: calculate evaluates, analyze returns the parse tree, solver finds roots/extrema, curve_fit fits curves, help returns reference text, and info reports server state. The descriptions explicitly cross-reference one another ('for just the final value use calculate; to find variable values use solver'), making boundaries unambiguous even though they share an expression language.

    Naming Consistency3/5

    Names mix conventions: verbs (calculate, analyze), nouns (info, solver, help), and snake_case (curve_fit). All are lowercase and readable, but there is no single predictable verb_noun pattern, so an agent cannot infer a naming rule.

    Tool Count5/5

    Six tools is well-scoped for a numeric evaluation server, with each tool earning its place: value evaluation, AST debugging, solving, curve fitting, and two support tools (help, info). No redundant or filler tools.

    Completeness4/5

    The surface covers the full lifecycle of its domain: evaluate (calculate), inspect/debug (analyze), solve (solver), fit (curve_fit), plus discovery (help) and status (info). Minor gaps exist—no explicit unit conversion or matrix/statistics operations—but core numeric workflows are fully covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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