"Accessing Facebook Settings and Preferences" matching MCP servers:

A Facebook/Messenger MCP server that lets AI agents read and engage with profiles, pages, posts, comments, groups, Messenger conversations, notifications, and events using the user's existing browser session cookies — no Graph API app, tokens, or browser automation required. It supports multi-account and Page switching, write operations (posting, commenting, messaging) with per-identity limits and cooldowns, and honest error reporting where Meta has decommissioned cookie-era endpoints.

Enables managing Facebook ads campaigns, ad sets, ads, creatives, insights, and audience targeting via Meta's Marketing API.

Enables interaction with the official Facebook Graph API, providing tools for managing Pages, Posts, Comments, Reactions, Media, Events, Insights, and credential storage/validation.

Enables access to the Facebook Scraper3 API to extract data from Facebook profiles, pages, groups, and the marketplace. It provides comprehensive tools for searching posts, people, and events, as well as retrieving detailed metadata for comments, reactions, and media.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables searching and analyzing Facebook's public ads library for any brand, including ad images, text, and video analysis.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Automates Facebook Page management through the Graph API, enabling content posting, comment moderation, analytics tracking, and engagement monitoring through natural language interactions.

MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Credit and payments for AI agent developers — over MCP. No crypto required

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

An MCP-compliant server that exposes Gmail and Google Docs as tools, enabling AI agents to draft, send, and manage emails, as well as create, read, and append to documents through natural language.

Discover audio and LLM services, compare seven voices, and check prices for free. Generate speech, transcribe audio and request LLM text with optional capped USDC payments on Base; voice-cloning requirements are also available.