"Official Ads Manager Certification Program (MCP)" matching MCP servers:

A tool that connects Google Ads with Claude AI, allowing users to analyze advertising data through natural language conversations and access campaign information, performance metrics, keyword analytics, and ad management.

An MCP server that enables interaction with Google Cloud's Workload Manager API, allowing users to manage workloads through natural language commands.

Local multi-version RAG MCP server for Keysight ADS help documentation, enabling search, AEL function lookup, and version comparison via natural language.

An MCP Server that provides a conversational interface to Google Tag Manager API, allowing users to manage tags, triggers, variables, and containers through natural language.

Enables MCP clients to query upstream documentation through a single search tool, backed by a bundled sample corpus, Vertex AI Search, or an SSH endpoint, returning cited source passages and refusing when nothing relevant is found.

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Enables AI agents to access and search up-to-date Solana documentation, get canonical spec references, and fix Anchor/Pinocchio Solana programs via MCP tools.

A flexible server that enables communication between AI models and tools, supporting multiple MCP servers and compatible with Claude, MCP Dockmaster, and other MCP clients.

Model Context Protocol to bridge in Substack writings to Claude.

An MCP server implementation that enables generation of Google Ads content through Claude Code, Claude Desktop, and other MCP-compatible clients.

An MCP server that retrieves documentation from official sources (LangChain, LlamaIndex, OpenAI, uv) using Serper API, extracts page content, and provides context for LLM-based answers.

Adds symbol-aware semantic search to coding agents like Codex CLI and Claude Code, enabling precise codebase context via natural language queries.

A Model Context Protocol (MCP) server that converts natural language queries into SQL statements, allowing users to query MySQL databases using conversational language instead of writing SQL code.

Serves an organization's curated Markdown docs as MCP resources and a search tool using hybrid RAG, round-tripping them through the Open Knowledge Format. It also proxies other MCP servers under namespaced tools with per-user credentials sealed at rest, plus curated skill playbooks and usage analytics.

Enables automatic memory retrieval and injection for AI conversations to provide continuous learning through semantic search and memory management.

Transforms local Git repositories into queryable, context-rich knowledge bases via AST-aware chunking and Git metadata, enabling AI assistants to search and understand codebases with semantic precision.

Converts any URL to clean, LLM-ready Markdown by removing ads, navigation, and other clutter, using Mozilla Readability and Turndown.

Enables multiple isolated Claude sessions to read markdown knowledge bases versioned in git and deposit proposals, while only a manager role integrates changes.

Local MCP server that turns Mark Builds Brands' YouTube knowledge into an AI coaching assistant for ecommerce and Facebook Ads.

Enables agents to retrieve indexed Amazon Ads, Seller Central, and Vendor Central knowledge by browsing tags, searching tools, inspecting schemas, and executing chained calls.