"Google Fonts" 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.

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.

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 coding agents to ground UI work in real product screens by returning concrete screen references as inline images, along with fonts, icons, and design-system details for a chosen screen. Also serves bundled design-skill documents and connection diagnostics so agents can settle, build, and verify interface work against existing tokens and components.

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.

Serves an editable folder of plain brand files—identity, colours, fonts, rules, formats and examples—to any AI tool over MCP, so generated designs and copy come out on-brand. It also checks HTML, CSS, SVG and text against those rules, and can read a public site's CSS to extract its real palette, fonts and spacing.

Gives coding agents real product screen references, fonts, icons, and recorded design-system details so UI can be built from an actual catalogue instead of a generic template. It also serves bundled design-workflow resources, prompts, and connection diagnostics, optionally without any token.

Enables coding agents to pull real product screen references — plus matching fonts, icons, and recorded design-system details — so UI work is grounded in actual screens instead of generic templates. It also serves a bundled design workflow, playbook prompts, and connection diagnostics, some of which run without a token.

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.

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.

Gives coding agents real product screens to ground UI work: it returns inline screenshots of real interfaces, recorded design references covering colors, typography, components and provenance, and licensed fonts or animated icons. It also serves bundled skill documents, command playbooks as prompts, and token-free connection diagnostics.

Makes Fonto XML documentation accessible to AI tools by fetching underlying XML and converting it to clean Markdown on demand, enabling search and retrieval of docs pages.

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

Enables coding agents to ground UI work in real product screens by searching a catalogue for concrete screen references and design materials such as fonts, icons, and animated icons, then pulling the colors, typography, components, and provenance behind a chosen web screen. It also serves bundled skill documents, command playbooks, and connection diagnostics so an agent can settle a screen's states and acceptance criteria before building and verify the rendered result afterward.