"How to manage GitHub projects" matching MCP servers:

MCP server to read and manage Google Ads accounts via GAQL queries, campaign/ad group/keyword operations, and safe write support with draft-confirm flow.

Enables AI assistants to manage ULink deep linking projects, including creating smart links, configuring domains, and viewing analytics.

Find backlink opportunities, analyze competitors, discover similar domains with AI embeddings, and manage prospecting projects directly from any MCP client.

MCP server for self-hosted Listmonk newsletters: manage subscribers, lists, campaigns, templates (including from local files), media and transactional email. File access is sandboxed to a configured directory.

Find out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.

Enables AI assistants to manage Google Ad Manager campaigns, line items, creatives, and advertisers through natural language, automating ad operations that normally require countless clicks through the UI.

Enables LLMs to read and manage Google Tag Manager accounts, containers, workspaces, tags, triggers, variables, versions, and permissions through all 106 API v2 methods, plus task-oriented tools, with ID-based addressing and optional read-only mode.

Integrates Claude Desktop with trackings.ai to manage projects, configure keyword scans, and trigger run executions. It allows users to retrieve consolidated keyword results and monitor credit balances through natural language commands.

A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

Connects MCP clients to ThriveStack AI Visibility data, enabling users to see how AI search engines mention and cite their brand, compare with competitors, and decide what to publish next.

Enables AI agents to create editable app store screenshot projects, manage authorized assets, review and correct designs with browser tools, and provide editor links for website export.

Paste a URL to see exactly how it renders as a social card on Twitter, LinkedIn, Facebook, and Slack. Generate custom OG images from templates.

Enables AI assistants to audit, automate, and manage Google Tag Manager Web and Server-Side containers via the official API, including read-only inspection, draft workspace edits, version snapshots, and guarded publishing. It runs over an isolated STDIO transport with OAuth 2.0 credentials and requires explicit confirmation before pushing changes live.

Enables AI clients to manage Google Tag Manager accounts and containers through the Tag Manager API v2, covering account/container discovery, workspace creation and syncing, CRUD on tags, triggers, variables, and folders, built-in variable control, version snapshots, and guarded publishing. It authenticates with a user's own Google identity (or a service-account fallback), honors API quota limits, and writes a redacted SQLite debug log of every tool call and API request.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

Connect your AI assistant to Eel Zap CMS to create collections, manage content, upload media, and publish through natural language.

Enables AI agents to manage Google Tag Manager accounts, containers, workspaces, tags, triggers, variables, and versions via the Tag Manager API v2.

Enables querying how often a brand is recommended by AI search and chat surfaces, returning recommendation and inclusion rates for any given brand.

Enables tracking AI search visibility by showing how ChatGPT, Gemini, Google AI Mode, and Google AI Overviews answer your tracked questions, whether they mention your brand, how you compare with competitors, and which sources they cite.