"Google Pay" matching MCP servers:

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.

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 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.

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.

Enables AI agents to build Power Automate Desktop flows by looking up actions, checking parameter types, and finding code examples for Classic and Power Fx flows so generated code can be pasted into the flow designer.

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.

Enables LLMs and AI agents to query Google Ads accounts, inspect resource metadata, list accessible customers, and retrieve reporting metrics, segments, discovery documents, and release notes via the Google Ads API.

A read-only MCP server that enables AI apps to list, search, and read a set of publicly published guides hosted as Google Docs, without authentication. It exposes list_guides, search_guides, and get_guide tools from a Cloudflare Worker endpoint, caching guide text for about an hour.

Helps AI assistants search PayU documentation, browse integration catalog, and fetch production-ready payment code for PayU.

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

Enables reading, editing, suggesting, and commenting on Google Docs from any MCP client, with scoped reads, minimal-diff edits, and support for tables, tabs, and layout.

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.

Enables AI models to search and retrieve up-to-date technical documentation for major agent frameworks (such as LangChain, LlamaIndex, AutoGen, Agno, OpenAI Agents SDK, MCP docs, Camel-AI and CrewAI) by running scoped Google searches and parsing the resulting pages. It can be deployed locally over stdio or remotely over SSE.

Local BM25/FTS5 section index for project documentation (Markdown and optional Google Docs/Sheets) that returns ~60-token section hits instead of full-file reads. Includes symbol/caller lookup across 9 languages, verified status writes, and a wiring gate that refuses to mark tasks done when target functions have zero callers.

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.

Enables AI assistants to answer British Columbia employment law questions — overtime, breaks, statutory holidays, pay, leaves and termination — from the current official text on BC Laws, in English or Chinese, with the act, section number, link and official "current to" date. Exposes tools to locate acts, browse a table of contents, retrieve and search sections, and map everyday or Chinese terms to the wording the statute actually uses.

Provides tools to search and retrieve Google Gemini API documentation with full-text search capabilities and automatic documentation updates stored in a local SQLite database.

Enables AI assistants to search and read the official Open Play developer documentation and inspect TypeScript and Unity SDK symbols, signatures, and summaries.

Enables users to search, download, and read academic papers from multiple platforms including arXiv, PubMed, bioRxiv, Google Scholar, Semantic Scholar, and CrossRef through a unified interface.

Persistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.