Skip to main content
Glama
daedalus

mcp-z3-prover

by daedalus
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to mcp-z3-prover

No user-submitted related servers found.

    Related Servers

    • Gurddy MCP Server

      novvoo
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables solving Constraint Satisfaction Problems (CSP) like N-Queens, graph coloring, and Sudoku, as well as Linear Programming optimization problems through both MCP tools and HTTP API endpoints.
      2
      MIT

    • mcp-solver

      szeider
      A
      license
      Not graded
      quality
      A
      maintenance
      A Model Context Protocol (MCP) server that exposes MiniZinc constraint solving capabilities to Large Language Models.
      184
      MIT

    • MCP Solver

      swesmith-repos
      A
      license
      Not graded
      quality
      Not graded
      maintenance
      An MCP server that enables Large Language Models to interactively create, edit, and solve constraint models using backends like MiniZinc, Z3, PySAT, and Clingo. It bridges natural language with symbolic reasoning for solving complex logical, SAT, SMT, and optimization problems.
      MIT

    • Google OR-Tools server

      Jacck
      A
      license
      Not graded
      quality
      D
      maintenance
      MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
      21
      MIT

    • re-triton

      Heretek-RE
      A
      license
      Not graded
      quality
      C
      maintenance
      MCP server that exposes the Triton library for symbolic execution, taint analysis, and constraint solving on binary code.
      2
      MIT
    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 11 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose: variable creation for different types (bool, int, real) with separate creation of constants and variables, constraint addition, solving, optimization, model retrieval, listing, and reset. No overlap.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., create_int_var, add_constraint, get_model_value). No mixing of conventions.

    Tool Count5/5

    11 tools is well-scoped for a constraint solver. Each tool serves a necessary function without being overly granular or too sparse.

    Completeness4/5

    Covers the core workflow: variable creation, constraints, solving, and model retrieval. Minor gaps exist, such as no push/pop for incremental solving or constraint deletion, but the essential operations are present.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources