"facebook ads" matching MCP servers:

A comprehensive Google Ads API integration for AI assistants through the Model Context Protocol. This server enables Claude AI and other MCP-compatible clients to manage Google Ads campaigns, analyze performance, and execute GAQL queries with natural language commands.

Enables self-hosted Google Ads and Meta Ads management through MCP, with human approval, hard spending limits, and audited writes; agents like Claude Code or Codex can connect to ad accounts while the server controls all credential access and platform writes.

Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.

Open-source MCP hub providing a single endpoint for AI agents to access dozens of business integrations (CRMs, spreadsheets, telephony, ads) with multi-tenancy, OAuth, and context-efficient tool discovery.

Enables AI agents to search, describe and call 239 social data endpoints across Instagram, TikTok, LinkedIn, Facebook, YouTube, X, Reddit, Threads and Pinterest through a single API key, covering profiles, posts, comments, followers, hashtags, ads and transcripts with one unified schema. Full responses are saved server-side and can be re-sliced for free with jq, fields or size outlines, so agents pull only the data they need into context.

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.

A remote MCP server that exposes tools from many services (X, LinkedIn, GitHub, Gmail, Notion, etc.) through a single endpoint on Cloudflare Workers, enabling unified access to third-party APIs via natural language.

Exposes a running DeepSeek Harness as an MCP endpoint so any other agent or script can create workspaces and sessions, hand coding tasks to the DSH agent, read and write files, run shell commands, and invoke permitted harness tools under the same sandbox, transcript, and permission policy as the DSH UI.

Pluggable local agent capability hub that gives web-based DeepSeek local Agent capabilities (MCP/file operations/skills/desktop automation) and lets local agents reuse the same tools.

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 any MCP client to watch a running DSH agent and steer it mid-flight, streaming thinking, tool and file notifications while sharing intent and exposing a floor lock that denies the agent's writes while held. It also lets clients interrupt the current turn with an injected alert and delegate reviews through an on-disk inbox.

An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with AWS S3 Control API through natural language, auto-generated using AG2's MCP builder.

Enables Genspark to connect to upstream MCP servers like Meta Ads by bridging STDIO to HTTP/SSE.

Tri-channel AdsAgent plugin (Meta, Google Ads, TikTok): hosted OAuth MCP at adsagent.md plus agent skills for insights, templates, and prepare/confirm writes. Install via adsagents/adsagent-ai-skills. Meta MCP: https://adsagent.md/mcp/v2. Registry: md.adsagent/meta-mcp.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables Claude Code and Claude Desktop to delegate bounded, disposable tasks to local or cheap cloud models, with model scoring, guardrails, and cost-saved tracking.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

Enables MCP clients to interact with a safe, orchestrator-driven multi-agent builder that enforces governance constraints such as no deployment, no secret leakage, and grounded, non-hallucinated answers through an always-on governance gate.