Skip to main content
Glama
iota-uz

repl-mcp

by iota-uz
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to repl-mcp

No user-submitted related servers found.

    Related Servers

    • mcp-python-repl

      aazizisoufiane
      A
      license
      A
      quality
      D
      maintenance
      A production-grade MCP server providing a persistent Python REPL with multi-session support, sandboxing, and timeout protection, enabling LLM agents to execute Python code across multiple turns with variables that persist between calls.
      12
      1
      MIT

    • code-execution-mcp

      ai-integr8tor
      F
      license
      C
      quality
      D
      maintenance
      An MCP server that enables AI agents to execute terminal commands and Python code on the host system, leveraging Agent Zero's battle-tested implementation with session management and smart output handling.
      4
      -

    • mcp-tool-server

      coderman002
      A
      license
      Not graded
      quality
      D
      maintenance
      A secure, production-grade MCP server that provides filesystem operations, AST math evaluation, and system diagnostics for LLM agents.
      MIT

    • mcp-agent-tools

      zyay
      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

    • MCP Code Mode

      anaseqal
      A
      license
      A
      quality
      D
      maintenance
      Universal Python code execution MCP server that lets LLMs write and run Python for any task, with auto-install packages, streaming output, and automatic file display.
      9
      1
      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

    A4.9/5.0

    Scored across 1 tool

    Disambiguation5/5

    Only one tool exists, so there is zero ambiguity. The tool's purpose as a persistent Python REPL is clearly defined and distinct from any other tool.

    Naming Consistency5/5

    The single tool name 'execute_python' follows a clear verb_noun pattern in snake_case. With only one tool, consistency is inherently maintained.

    Tool Count4/5

    One tool is slightly below the typical 3-15 range, but for a REPL server it is appropriate. The tool consolidates execution, state persistence, filesystem access, and MCP calls into a single well-designed interface.

    Completeness5/5

    The tool covers the entire REPL domain: arbitrary Python execution, persistent state, top-level await, full filesystem access, and MCP integration. There are no apparent dead ends or missing operations.

    Maintenance

    ActivitySlowing
    ResponsivenessUnresponsive

    Resources