Skip to main content
Glama

Related Servers

Alternatives to codecalc

  • A
    license
    A
    quality
    A
    maintenance
    Provides access to 61 public digital libraries through a single unified interface, enabling users to search and retrieve information from academic papers, books, legal records, and more using natural language.
    11
    43 npm
    3
    MIT

Related Servers

  • A
    license
    C
    quality
    C
    maintenance
    A local MCP server that enables agents to perform symbolic math, unit-aware physics calculations, numerical simulation, PDE solving, statistics, time-series and survival modeling, signal and wavelet analysis, optimization, plotting, data-file IO, and arbitrary Python execution. It exposes 65 fixed tools with a uniform JSON result envelope, writing large results and figures to a configurable local output directory.
    65
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A transport-agnostic MCP server that integrates multiple AI coding agents (Claude Code, Gemini, and Codex) with built-in tools for command execution, calculations, and streaming capabilities. Supports both STDIO and HTTP transports for flexible deployment.
    5 npm
    1
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server that equips AI agents with real-world tools including file operations, read-only MySQL queries, web summarization, safe calculations, and system info. It uses stdio transport and enforces safety guardrails like SELECT-only database access and AST-based math evaluation.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server that provides AI coding agents with AST-accurate, context-budget-aware codebase querying, safety gates, and team policy integration via structured tools and a local plugin layer.
    140 npm
    4
    MIT

TDQS

A3.9/5.0

Scored across 51 tools

Disambiguation4/5

Most tools have clearly distinct resource/action targets, and many docstrings explicitly say 'use this, not X' to steer selection. The main risk is in the execution/comparison clusters (execute_code vs execute_code_stream vs run_submit vs session_run; compare_execution vs compare_edge_cases vs verify_translation), which are separable only by careful reading.

Naming Consistency3/5

Names are uniformly snake_case and there are coherent families (session_*, execute_*, run_*, compare_*, verify_*, list_*), but conventions are mixed: some are verb_noun (list_languages), some noun_verb (session_list, radix_convert), and several are bare nouns/adjectives (bits, symbolic, matrix, percentage). This is readable but not a consistent pattern.

Tool Count2/5

At 51 tools this is well past the 25+ threshold for 'too many,' even for a broad code-execution-plus-math server. Several clusters (e.g., the many compare/verify tools, or the numerous unit/format converters) could plausibly be consolidated further despite the existing bits/symbolic mode merges.

Completeness4/5

The surface covers execution (sync/stream/background/session), file management, snapshots, package/runtime management, tracing/verification, and a wide math/unit library, so agents can complete most workflows. Minor gaps remain, such as no run_list for active background runs and no uninstall_package, but these are workaroundable rather than blocking.

Maintenance

ActivityActive
ResponsivenessResponsive