"google drive" matching MCP servers:

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

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

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.

MCP server that exposes WarpDrive and EmberData docs as tools, enabling assistants to look up real documentation instead of guessing.

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

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

An MCP server that provides indexed, searchable access to Anthropic Claude and Google Gemini documentation, with full-text search, page fetching, and section listing capabilities.

Enables AI assistants to read and analyze Google Docs comments, including authors, status, quoted text, and reply threads, via a read-only interface with OAuth 2.0 sign-in.

Provides access to Rive's animation documentation, runtime guides, editor features, and tutorials via the Model Context Protocol.

Enables MCP clients to drive Relay, an AI support-triage agent, by exposing tools for customer lookup, documentation search, ticket classification, reply, and escalation, with full guardrails and read-only mode option.

Enables AI agents to securely discover, inspect, and read approved local team files through structured tools, with incremental SQLite indexing, paginated navigation, version verification, and evidence citations across common document formats.

Exposes the AKIJ Resources Document Management System to MCP clients, enabling search, listing, and retrieval of documents across risk databases, Google Drive, and legal sources via stdio JSON-RPC 2.0. Provides read-only access to 14,500+ indexed files and folders with tools for risk lookups and Bangladesh law references.

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.

Automates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI.

Enables unauthenticated MCP access to Google Cloud documentation by proxying requests to the Developer Knowledge API, allowing coding agents to query docs without direct Google authentication.

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.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

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.

Fetches the complete record of a single patent by publication number — full claims, paged description text, CPC classifications, worldwide family with legal status, backward/forward citations, legal events and prosecution timeline — rendered as compact Markdown for an LLM. It does not search, and is meant to be paired with a keyword search server to go from candidate publication numbers to full patent details.