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306,102 tools. Last updated 2026-07-25 00:27

"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
  • Retrieve specific documents, scripts, and resources from Claude skills to access Python scripts, reference materials, example data files, and images using pattern matching.
    MIT
  • Search the National Park Service lesson plan database to find educational resources about parks, history, science, and environment. Returns quality-scored results with source citations.

Matching MCP Servers

  • A
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    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.
    Last updated
    MIT

Matching MCP Connectors

  • Science MCP — free science data APIs

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

  • Initialize security scanning for Python projects by auto-detecting frameworks and setting up middleware, pre-commit hooks, and configuration files.
    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
  • Execute Python code with pre-populated DaVinci Resolve API variables. stdout is captured; set 'result' to return data.
    MIT
  • Browse available templates for AI development loops including REST API development, testing, refactoring, bug fixing, documentation, and performance optimization with suggested settings.
  • Returns instructions for integrating PropelAuth in a backend framework such as Python, FastAPI, Django, Flask, Rust, Node, Go, Express, and .NET. Guidance includes installation and configuration, protecting API routes, and checking org membership and permissions. It is important to follow the instructions carefully to ensure a successful integration. Do not update the guidance argument unless the user explicitly requests it.
    Connector