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URL: https://glama.ai/mcp/servers/integrations/python

⇱ Python | Glama

  • Why this server?

    Supports Python 3.10 for the implementation of the server that integrates with ScapeGraph AI

  • Why this server?

    Built with Python 3.11+ for SignNow eSignature API integration and MCP server functionality

  • Why this server?

    Analyzes Python codebases to extract packages, modules, classes, functions, and web framework routes for structural understanding and navigation.

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    Structural graph map of any codebase. Scans entities, relationships, and feature flows across 13 languages so LLMs navigate by structure instead of reading everything.
    Last updated
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    MIT

  • Why this server?

    Requires Python 3.10+ as the runtime environment for the MCP server implementation.

  • Why this server?

    Provides access to Scout APM performance monitoring data for Python applications, including traces, errors, endpoint metrics, and performance insights

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    Enables AI assistants to access Scout Monitoring performance and error data through Scout's API. Provides traces, errors, metrics, and insights for Rails, Django, FastAPI, Laravel and other applications to help identify and fix performance issues like N+1 queries, slow endpoints, and memory bloat.
    Last updated
    13
    28
    MIT

  • Why this server?

    Provides weather information through the Open-Meteo API, allowing users to get current weather conditions for specified cities.

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    A Model Context Protocol server that retrieves current weather information for specified cities using the Open-Meteo API, requiring no API key.
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    Apache 2.0

  • Why this server?

    Runs on Python 3.8+ with support for Python packages and libraries for implementing stock data analysis tools.

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    台灣證亀所MCPServer
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    Python
    MIT

  • Why this server?

    Offers Python client library for programmatic access to business intelligence data, including entity search, profile retrieval, VAT verification, and platform statistics.

  • Why this server?

    Integrates with Python environment, offering access to Optuna's hyperparameter optimization capabilities through a standardized interface.

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    A Model Context Protocol server that enables automated optimization and analysis using Optuna, allowing LLMs to perform hyperparameter optimization and interactively analyze optimization results via chat interfaces.
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    MIT