"General Information About Marketing" matching MCP servers:

MCP server exposing specialized AI agents (CEO, CTO, Designer, Sales, Marketing, QA) that collaborate through an intelligent orchestrator for business strategy, technology, design, sales, marketing, and quality tasks.

MCP server that lets Claude Code delegate heavy tasks (file analysis, deep search, web lookups, adversarial review, and general delegation) to the Antigravity CLI (agy), with model routing, session continuity, timeout controls, and quota-aware failover.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables Codex to delegate frontend development, general implementation, and writing tasks to Gemini agents through task orchestration and dedicated writing tools, with opt-in file write and native tool permissions. Tasks are supervised across MCP disconnections, allowing progress polling, follow-ups, and explicit interruption.

Connects coding agents to a hosted agentic marketing system so they can run marketing workflows, share project files, research and context, and review or approve deliverables across organic search, content, social, outreach, paid ads, and product QA. Every call is scoped to the user's project membership and connected services such as GitHub, Search Console, Google Ads, Stripe, PostHog, and X.

Enables MCP clients to batch repetitive web admin work by harvesting queue items read-only, collecting verdicts, and applying them only after human approval, with dry runs, staged rollout, rate limits, a circuit breaker and an audit log. Also provides general browser control — navigating, reading, filling forms and clicking on allowed sites through an already logged-in local browser, pausing for confirmation before irreversible actions.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

MCP server that turns any running web app into demo videos, interactive walkthroughs, and marketing captures via one command. Enables AI agents to show their work with regenerated demos on every PR.

A transparent message ferry between Claude Desktop and Claude Code CLI, enabling task delegation with any MCP configuration without the bridge needing to know about specific MCPs.

Enables Cursor agents to communicate via a shared chat room, allowing them to ask questions, share status, and warn about conflicts while collaborating on the same repo.

A general-purpose MCP connectivity layer that bridges MCP clients to authenticated remote MCP servers, managing authentication, credentials, routing, and connection lifecycle. It enables clients like OpenHands Cloud to securely connect to remote MCP servers such as Notion.

Enables AI clients to compose and execute marketing campaigns by mapping free-form intent to a deterministic plan of over 1,000 production-tested skills, supporting multiple workflows across paid ads, SEO, content, and more.

Enables read-only access to Pocket Agent's product information, public persona templates, and app catalog. No authentication required.

Enables AI models to access user geolocation information through EdgeOne Pages Functions, allowing location-aware AI interactions.

A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.

MCP server that enables Claude Code to communicate with other Claude Code agents over HTTP, allowing users to ask questions about remote codebases or delegate coding tasks.

Enables Claude Code with 127 professional skills for deployment, security, databases, content, marketing, and more, activating automatically when needed.

A general-purpose MCP gateway integrating tool management, memory, reminders, and multi-channel messaging (Telegram/QQ), enabling autonomous AI agents.

An MCP Server that provides weather information by ZIP code using Interzoid's API, allowing agents to retrieve current weather conditions based on postal codes.

An agentic AI system that orchestrates multiple specialized AI tools to perform business analytics and knowledge retrieval, allowing users to analyze data and access business information through natural language queries.

An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.

A server that allows AI agents to consult multiple large language models (like Grok, Gemini, Claude, GPT-4o) through Model Context Protocol for assistance and information.

An agentic AI system that answers time-related questions by calling a time API tool and general questions using an LLM, accessible through a simple chat interface.

An MCP (Multi-Agent Conversation Protocol) Server that provides an interface to access Pokémon data through the PokéAPI, enabling agents to retrieve information about Pokémon species, abilities, moves, and more via natural language.

Enables LLMs to communicate with Agent-to-Agent (A2A) protocol compliant agents, providing tools for sending messages, managing tasks, and retrieving agent information.

An MCP server that keeps raw tool output out of the context window by sandboxing and compressing results (about 98% reduction), persisting file edits, git operations, tasks and decisions in SQLite with BM25 retrieval so the agent resumes after compaction, and enforcing routing across 17 platforms via MCP and hooks. It also encourages the model to write scripts that compute answers and log only results instead of reading large data into context.