"Meta" matching MCP servers:

Enables deploying a secure MCP gateway that proxies, sandboxes, and policy-governs third-party MCP servers, with credential vaulting and audited tool access across stdio, SSE, and Streamable HTTP.

Create, launch, and manage Meta + Google ads from Claude and ChatGPT. Analytics, strategy, and autopilot automation for any store.

Enables personal AI agents to combine Meta Ray-Ban audio/vision sensory grounding with long-term episodic life memory graphs and empathetic emotional resonance. Integrates with MCP-compliant clients via JSON-RPC stdio for ambient, context-aware interactions.

Enables AI agents to combine ambient multimodal perception, continuous episodic memory, and recency-decay context briefing for fast deterministic decisions and safe tool routing. It integrates with MCP clients to reduce unnecessary frontier LLM calls while enforcing token budgets and local-first memory retention.

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.

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.

Provides access to 27+ structured problem-solving frameworks and game-theoretic workflows for software development, project management, and operations research. Helps prevent analysis paralysis and scope creep by transforming open-ended challenges into systematic, time-boxed approaches with clear decision gates.

Enables agents to generate typed client code from OpenAPI, GraphQL, Protobuf, and SQL specs using MetaEngine's code-generation platform.

Control the MetaDock desktop workspace over MCP: browsers, layouts, bookmarks, downloads, and more.

Enables extraction and querying of database schema metadata from PostgreSQL, Snowflake, SQL Server, BigQuery, and Oracle databases, saving results locally for analysis.

Metabase includes a built-in Model Context Protocol (MCP) server that lets AI clients connect directly to a Metabase instance. It uses the Streamable HTTP transport and builds on Metabase's Agent API to expose tools for searching, exploring, querying, and visualizing data — all scoped to the connecting user's permissions.

Lets AI assistants use MetaModel's formula engine for certified computation, turning published calculators, pricing tools, and engineering models into AI-callable tools with no hallucinated math.

Enables AI agents to scrape, crawl, and map websites into LLM-ready markdown via the Metalift API

Enables AI agents and MCP clients to browse Roomtone meeting notes, add YouTube or pasted-text sources, generate summaries, ask questions answered from transcripts, and retrieve raw transcript text. Recording itself stays in the Roomtone app, so the server only reads and adds to existing meetings.

One endpoint in front of 950+ data APIs — SEO and AI visibility, finance, social, web search, sales and agent mail. tools/list returns five meta tools, not 580, so the catalogue never lands in a context window. Most clients can point straight at https://mcp.aisa.one/mcp; this package is the stdio bridge for the ones that only spawn a local command. OAuth, nothing to paste.

A meta-MCP server that aggregates authoritative web search and browser research tools, providing a unified interface with a cost-efficient fetch ladder for web research.

A local, read-only MCP server that deterministically validates rights-aware production metadata manifests before delivery or release.

MCP server that connects AI clients to RoASr ad-analytics for Meta, Google Ads, and Yandex Direct, enabling ad audit findings, KPI summaries, competitor creative spy, and Vision creative analysis. Read-only except for a Yandex Direct campaign pause/resume tool, scoped by API key permissions.

Aggregates multiple MCP servers into a single interface, reducing token overhead and simplifying tool management for LLMs.

SEO articles that sound like your brand — not generic AI output. TopicForge runs a four-stage pipeline — outline, draft, voice, and CTA — to turn topics into publish-ready articles with FAQ schema, meta, and editorial guardrails.