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521,628 tools. Updated 2026-09-06 11:42

"Resources for Integrating Python, Data Science, MySQL, and Flask API Development" matching MCP tools:

  • Generate complete Midtrans Core API integration code in Python, JavaScript, Go, or Rust. Includes charge transactions, webhook handlers with signature verification, refunds, and subscription management with full implementation details.
    MIT
  • Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.
    MIT
  • Browse the Data API catalog to discover available datasets, scopes, and resources for Sharp/Pro consumers. Requires a Pro token.
    MIT
  • Retrieve specific documents, scripts, and resources from Claude skills to access Python scripts, reference materials, example data files, and images using pattern matching.
    Apache 2.0

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables time-series analysis and forecasting through a structured tool catalogue, including data loading, quality repair, diagnostics, and forecasting with ARIMA, exponential smoothing, Chronos-2, Toto 2.0, and AutoML.
    1
    MIT

Matching MCP Connectors

  • flaskOAuth

    Feedback layer for video. Reviewers talk through feedback; agents read it as structured comments.

  • Science MCP — free science data APIs

  • Initialize security scanning for Python projects by auto-detecting frameworks and setting up middleware, pre-commit hooks, and configuration files.
    MIT
  • Check which development tools are installed on your system, including Python, Node.js, Flutter, Android, Git, and Docker.
    MIT
  • Retrieve agent-friendly API documentation with quickstart guide and endpoint details. Use before integrating an API to understand its interface and requirements.
    MIT
  • Identifies Flask extensions used in Python projects by scanning specified scopes such as main project, all namespaces, or a particular namespace.
    MIT
  • Extracts API schemas from source code by auto-detecting format from file contents, supporting MCP, OpenAPI, GraphQL, tRPC, REST, gRPC, Python, Go, and SQL DDL.
    MIT
  • Installs all required development environments including package manager, Python, Node.js, Flutter, and Android. Skip tools you already have to speed up setup.
    MIT
  • Execute Python code with pre-populated DaVinci Resolve API variables. stdout is captured; set 'result' to return data.
    MIT
  • Deploy a Kubernetes cluster on Vultr infrastructure configured for specific workload types like web, API, data, or development, with environment settings and auto-scaling options.
    MIT
  • Browse available templates for AI development loops including REST API development, testing, refactoring, bug fixing, documentation, and performance optimization with suggested settings.
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