"A server for finding marketing information and resources" matching MCP servers:

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Centralizes 10 marketing APIs into 14 MCP tools for AI assistants to pull data, audit sites, research trends, and manage Google Drive without switching tabs.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

Enforces a marketing pre-flight: plan the campaign with kill criteria, score each offer on an explainable 0-100 rubric, and require every tactic to cite a scored offer plus a success metric before any spend.

Enables autonomous agents to segment audiences, manage subscribers, and trigger Journey Builder workflows in Salesforce Marketing Cloud through natural language.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables natural language querying of Google Analytics 4, Google Search Console, Meta Ads, and Google Ads data through Claude.

Connect Claude to your marketing data from Google and Meta, enabling read and write operations on Search Console, Analytics, Tag Manager, Business Profile, and Meta platforms.

MCP server for managing Yandex Direct advertising, Yandex Metrica analytics, Wordstat keyword research, and Yandex Webmaster SEO tools, with self-configuring OAuth; provides 153 tools for complete ad and search workflows from AI assistants.

A TypeScript implementation of a Model Context Protocol server that provides marketing tools based on Open Strategy Partners' methodologies, enabling content creation, optimization, and product positioning through tools like value map generation, meta information creation, and content editing.

Read-only MCP server for Google Ads API, enabling natural language queries about campaigns, metrics, search terms, and change history without write access.

MCP server for Salesforce marketing and revenue ops teams. 47 tools covering leads, contacts, accounts, campaigns, campaign members, tasks, and 17 reporting tools including campaign ROI, lead-source attribution, pipeline-by-campaign, multi-touch campaign influence, MQL trend, forecast summary, and the native SFDC Reports API.

Enables Claude to run nine marketing calculations on real public data — A/B test evaluation and planning, email campaign analysis, budget simulation and optimization, store sales breakdowns, RFM customer segmentation, lead funnel analysis, and multi-model attribution comparison. It connects without an account and returns a short summary plus structured numbers so decisions rest on computed results rather than guesses.

Lets an MCP client collect the marketing evidence behind any URL — ad libraries, social, SEO, pixels, founders, Reddit, positioning history — as a token-cheap scorecard plus citable evidence index and unknowns. Enables the agent to fetch specific evidence, follow a per-channel analysis method, validate citations and grounding, and produce a step-by-step playbook for copying the growth engine.

Enables AI apps to plan, build, audit, and report on Google Ads, GA4, Search Console, and Tag Manager accounts through natural language. Accounts are read-only by default, and every change is validated in a preview, applied only after confirmation, logged, and reversible.

Enables compliance cleansing of marketing lists against the NCC opt-out registry, checking and optionally updating spreadsheets to filter out pre-emptive blocks.

Provides AI clients with access to proven social media hooks, copywriting frameworks, KOL archetypes, and real-time trending content across platforms like Twitter, Instagram, LinkedIn, TikTok, YouTube, and Facebook to humanize and optimize marketing content.

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.

Exposes the OSMOS Marketing API registry as callable MCP tools, enabling AI agents to discover endpoints and make real API calls with authentication headers and campaign hierarchy support.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents and marketers to search creators, draft campaign briefs, send collaboration offers, verify deliverables, and release escrowed payments against a shared data layer. Enforces budget ceilings, rate caps, human-approval checkpoints for high-value actions, and an append-only audit trail.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.