"How to interact with Google Maps using Python" matching MCP servers:

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Sandboxed Python execution with automatic dependency management. Executes Python scripts in isolated environments (bubblewrap or Docker) with PEP 723 inline dependencies, preventing host pollution.

Enables academic research via Claude Code, allowing search of Google Scholar and access to Open Access full-text articles.

Production-ready MCP server for Google Workspace providing broad coverage across Gmail, Drive, Calendar, Docs, Sheets, and more, with safe-by-default write operations and markdown-to-Google-Docs support.

Provides tools to search and retrieve news across various categories including business, technology, science, and sports via the Google News API. It supports keyword searches, autocomplete suggestions, and region-specific news across multiple languages.

MCP server integrating multiple Google Workspace services including Gmail, Calendar, Drive, Sheets, Docs, Tasks, People, Forms, and Slides, enabling users to manage emails, events, files, documents, and more through natural language.

Provides CodeQL language intelligence to AI agents via MCP, enabling completions, hover, definitions, references, diagnostics, formatting, and in-memory file updates for QL code.

MCP server for Google Keep that enables managing notes, checklists, and labels through tools like search, create, update, and delete.

Provides tools to query, search, and list Google Calendar events using the Model Context Protocol. It enables natural language interaction for checking schedules, searching for keywords, and retrieving upcoming meetings.

Enables users to create, manage, and execute Google Apps Script projects through natural language. It provides comprehensive tools for code editing, function execution, deployment management, and monitoring script processes.

Enables interaction with Google Docs through a FastMCP server, allowing users to list, read, and create documents. It leverages the Google Docs and Drive APIs to provide seamless document management via Gemini-CLI.

A Model Context Protocol (MCP) server that connects AI agents to Google Workspace (Gmail, Calendar, Drive, Docs, Sheets, and Slides).

A comprehensive MCP server for Jira, Confluence, and Bitbucket that supports both Cloud and Data Center deployments. It provides 136 tools for managing issues, searching documentation, and handling Git workflows like pull requests and pipelines.

Use 3,000+ pre-built cloud tools from Apify, known as Actors, to extract data from websites, e-commerce, social media, search engines, maps, and more

Enables local agents to connect to and interact with Google Colab sessions running in the browser.

Enables AI agents to interact with Salesforce through MCP, supporting queries, records, metadata, and bulk operations with flexible OAuth authentication.

An AI-powered research assistant that enables students to discover papers, generate summaries, and build bibliographies with cross-device session continuation using MCP and LangGraph.

Enables video generation from text prompts and image-to-video using Google Veo AI models via the Gemini API.

Enables AI agents to interact with Flowise instances for flow management, predictions, analysis, and more.

A Google Calendar MCP server built with FastMCP, providing tools for event CRUD, calendar management, and availability queries via the Google Calendar API.