"A guide to Python dependency resolution and package management" matching MCP servers:

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

MCP server for Google Search Console API that enables querying search analytics, managing sites, inspecting URLs, and supporting domain delegation via service accounts.

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.

Enables Claude to directly manage the Savage in a Suit website through 31 tools for pages, events, members, testimonials, podcast episodes, and site content, with all changes logged.

MCP server for managing Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads via AI. 210+ tools including account audits, wasted spend detection, and PMax insights.

A Node.js Express server that integrates with Facebook Marketing API to provide a platform for managing ad campaigns, analyzing performance, and receiving optimization recommendations.

Enables users to check Google organic, map pack, and local finder positions for keywords across specified locations, returning per keyword/location rows with ratings, competitors, and rank changes. It runs searches from each location via Apify and can track history with a state key.

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

Enables interaction with Instantly.ai email outreach platform through 31 tools across accounts, campaigns, leads, emails, and analytics. Supports both local and remote deployment with multi-tenant authentication.

AI visibility and SEO data for AI agents. Check whether ChatGPT, Claude, Perplexity and Gemini mention your brand and which sources they cite, plus keyword volume and Google Trends.

Enables AI assistants to manage campaigns, users, backlinks, keywords, and SEO rankings through natural language using the AgencyAnalytics API.

Enables AI assistants to interact with LinkedIn and LinkedIn Sales Navigator for searching profiles, managing leads, and handling messaging via cookie-based authentication. It supports professional networking tasks such as sending connection requests and retrieving account details through the Model Context Protocol.

agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log

Provides MCP-compatible agents with a deliberately scoped content-operations toolset for managing Hypertxt projects, articles, and Google Search Console data.

Production-ready MCP server enabling AI assistants to interact with Braze's customer engagement platform, offering 92 tools for user management, messaging, campaigns, analytics, email/SMS, catalogs, and SCIM provisioning.

A Model Context Protocol (MCP) server for Microsoft Advertising (Bing Ads / DuckDuckGo Ads). This server enables AI assistants to create, manage, and report on Microsoft Advertising campaigns programmatically.

Enables creating, inspecting, scheduling, and publishing Substack drafts from Markdown through MCP tools, using the same authentication and safety behavior as the CLI.

Enables users to create, inspect, schedule, publish, update, export, and delete Substack drafts from Markdown through MCP tools, with safeguards for confirmation and noninteractive workflows.

Enables agents to write Substack posts in Markdown and safely create, list, inspect, export, update, schedule, publish, and delete drafts through the same authenticated workflow as the CLI and Python SDK. Creating and publishing remain separate, confirmed operations so nothing is sent or deleted by accident.

Enables writing Substack posts in Markdown and safely creating, inspecting, scheduling, updating, exporting, publishing, and deleting drafts, with unsupported editor widgets preserved by default. It relies on the same environment variables and SDK behavior as the command-line workflow.