"AWS Secrets Manager" matching MCP servers:

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

MCP server for Mendeley reference manager - search, retrieve, and manage your academic library from Claude and other MCP clients

MCP server and CLI for querying Common Crawl via AWS Athena, enabling users to check a domain's presence in crawls, analyze dynamics, compare domains, and inspect page text.

Self-hosted Google Ads MCP server: 35 read tools and 10 opt-in, preview-first write tools. Maintained source relocated from getmcpads-com/google-ads-mcp-server; npm package remains @getmcpads/google-ads-mcp-server.

Enables AI agents to automatically analyze AWS LNA CSV data and generate competency assessment PPT reports with radar charts and team-level insights.

Analyze paid marketing accounts (Google Ads, Meta Ads, GA4, Merchant Center) in plain language, read-only. Provides insights, competitor ads, and landing page audits via natural language.

Enables searching the NASA Astrophysics Data System literature with full ADS query syntax, retrieving complete paper records, and exploring citation and reference graphs.

Provides MCP clients typed tools for Apple Ads Platform research, reporting, auditing, and receipt-gated campaign management with a local-first, read-only-by-default safety model.

MCP server exposing 1,000+ pay-per-call API endpoints across agent infrastructure (memory, coordination, secrets, verification), data, compute, finance, weather, geography, and reference categories — payments via x402 protocol in USDC on Base.

A gateway that manages multiple MCP servers behind one endpoint, providing namespaced tool routing and supervision. Currently bundles an Arxiv MCP server for paper search and retrieval.

Enables an AI assistant to search TikTok ads by text, country, category, or landing domain, open individual ads to inspect their copy, destination and run dates, and identify the advertiser operations behind them. All calls are pinned to TikTok so results stay within that corpus, with usage and quota checks included.

Enables AI agents to browse, search, and query Australian Bureau of Statistics datasets through the ABS Data API, exposing dataflow discovery, dimension/code structure inspection, and SDMX dataKey-based retrieval of time-indexed observations with decoded labels. It can run as a hosted gateway endpoint or a local stdio server.

Enables keyword research and read-only Google Ads reporting through Google Ads Explorer API access combined with Google Autocomplete, including keyword suggestions, location lookup, GAQL queries, and search-term reports. Runs as a remote Dockerized Streamable HTTP server with built-in OAuth 2.1 so it can be connected directly from Claude web, desktop, and mobile.

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

Manages ESPN fantasy football teams post-draft, enabling lineup optimization, waiver/free agent recommendations, injury tracking, trade analysis, and playoff odds via read-only tools.

An MCP server for organizing research papers, books, and digital sources by tracking reading progress and taking structured notes. It enables AI assistants to manage literature databases and link sources to specific concepts within a knowledge base.

Enables natural language analysis of mechanical test data files (CSV, TDMS, MDF) by providing tools for channel statistics, spectrum analysis, rainflow fatigue counting, thermal state detection, and report generation.

Enables Zotero 10 library management via MCP, allowing search, metadata retrieval, annotation and collection management, and optional write operations (notes, tags, metadata, items) through a local Streamable HTTP endpoint.

Enables AI agents and LLMs to interact with Google Ads accounts, allowing search, retrieval of resource metadata, and listing accessible customers via the Google Ads API.

Enables AI assistants to query, calculate, and benchmark AWS Partner Polaris training depth levels using CSV data.