jiheng-mcp
Related Servers
Alternatives to jiheng-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityBmaintenanceEnables AI agents to perform accurate local computations including arbitrary-precision math, date handling, unit conversion, subnet calculations, encoding, hashing, and text analysis, all without network calls or API keys.27105 npmMIT
- AlicenseNot gradedqualityAmaintenanceProvides exact, deterministic tools for math, dates, units, validation, and more to AI agents, returning precise answers with explicit assumptions and warnings instead of model guesses.MIT
- AlicenseAqualityAmaintenanceEnables LLM agents to perform precise decimal-only calculations across tax, payroll, finance, statistics, engineering, and other domains, returning calculation traces and verifiable receipts. It supports batched and pipelined tool calls with policy-aware, date-sensitive computations.2868MIT
- AlicenseAqualityBmaintenanceEnables language models and users to perform exact arithmetic, symbolic math, unit/date conversions, statistics, and read-only SQL queries over registered files, with every operation logged by a citable ID that humans can re-run.11MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to perform precise arithmetic—including fractions, decimals, irrationals, and large integers—by cross-checking every result against two independently written engines and returning only agreed-upon answers.2MIT
- AlicenseBqualityBmaintenanceEnables LLMs to run arbitrary-precision integer and bitwise operations, endianness swaps, IEEE 754 float decomposition, hashing/checksum/modular math, data codecs, statistics, and trigonometry through 29 specialized tools. Its chained batch execution engine lets multiple dependent steps run in one call, eliminating multi-turn round-trip overhead.2919 npm18MIT
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of misselection between tools. Internal ambiguity is handled by the documented functions()/help() introspection and the steps[] chaining mechanism rather than by separate tools.
A single tool named 'calc' is trivially consistent; there are no competing conventions to clash. The sub-function names referenced in the description (norm_cdf, black_scholes_call, loan_pmt, unit_convert) also follow a uniform snake_case style.
One tool is thin against the typical 3-15 range, and the surface is really a whole math library collapsed into a single overloaded entry point. It is defensible for a pure evaluator, but discoverability depends entirely on in-band functions()/help() calls rather than a browsable tool set.
Coverage is broad for a math domain: exact arithmetic, symbolic solve/diff/simplify, statistics, financial functions, unit conversion, probability/options, and dates, plus multi-step chaining. Gaps remain in areas like linear algebra/matrices and complex-number work, which agents would have to work around.