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An interactive Python REPL (Read-Eval-Print Loop) for programming and debugging MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

70,721 tools. Last updated 2026-02-08 07:14
  • Attach to a running process to establish an interactive REPL session for executing commands and scripts, enabling dynamic instrumentation and runtime analysis.
    MIT
  • Read and monitor process output with intelligent completion detection. Automatically identifies when a process is ready for input or has finished, preventing timeouts and hangs. Works across Python, Node.js, R, Julia, and other REPL environments.
    MIT
  • Run Python code for financial analysis and calculations, with results returned via print statements.
    Apache 2.0
  • Run Python code for financial analysis and calculations to support research workflows, with results output via print statements.
    Apache 2.0

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