"Google Maps" matching MCP servers:

MCP server that reads Google Docs and Google Sheets content for AI assistants like Claude.

MCP server that retrieves up-to-date Google Maps Platform documentation and code samples to ground AI-generated code in official guidance.

Enables AI assistants to search and access Google Cloud Platform documentation in real-time, supporting 20+ GCP services with natural language queries and smart content extraction.

Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Provides AI coding agents with durable architecture memory for repositories by generating structured project maps of responsibilities, relationships, and risks.

MCP server providing comprehensive Leaflet.js documentation, code generation for maps, markers, layers, GeoJSON, choropleth, and debugging tools.

Enables MCP clients to search, read, list, create, update, and delete Wiki.js pages using a user's own Google Workspace identity, with Wiki.js enforcing all authorization.

Enables browsing your Coursera courses, viewing library maps and course outlines, and downloading transcripts and readings as text via MCP tools.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Enables AI assistants to search and access academic papers from Google Scholar via MCP protocol, with support for keyword, author, and year filtering, CAPTCHA handling, and BibTeX retrieval.

Provides hybrid (BM25 + vector) search over Terraform AWS and Google provider documentation, with tools for ranked search and full document retrieval.

Connects Claude to Google Docs, allowing users to list, read, create, update, search, and delete documents in their Google Drive through natural language interactions.

Provides read-only Model Context Protocol tools for My AskAI, enabling documentation search, filesystem queries, and pricing estimates.

Enables rapid exploration and integration of Omelet's Routing Engine and iNavi's Maps API for building Transport Management Systems, providing endpoint discovery, schema exploration, integration patterns, and troubleshooting guides.

Automatically generates Chinese README documentation and mind maps for project folders, enabling intelligent documentation management and project structure visualization.

A local stdio MCP bridge that forwards tool calls to the Google Developer Knowledge MCP endpoint and enhances search_documents with caching, result expansion, and concise markdown excerpts.

Enables MCP clients to list and fetch content from Notion pages and Google Drive files, returning normalized documents for downstream RAG ingestion.

MCP server that lets AI agents read and search project documents in OMOS Shared Drive, with source-referenced answers and Google Drive links.

Enables access to OpenTelemetry documentation by fetching and converting pages to markdown format and searching content using Google Custom Search. Provides comprehensive documentation lookup and search capabilities for OpenTelemetry concepts, instrumentation, and configuration.