Automates research workflows by collecting, summarizing, and categorizing AI technology documents directly into Notion. It uses OpenAI GPT for Vietnamese summarization and automatic tagging of topics like RAG, LangGraph, and MCP.
Enables keyword analysis and search volume data through the Marketing Miner API, connecting marketing intelligence tools to AI assistants like Cursor, Claude, and Windsurf.
Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.
Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.
Enables AI clients to analyze any company domain and determine its AI maturity tier (commercialized, deployed, declared, or none) with supporting evidence, via a single tool backed by an Apify actor.
Resolves company domains to their LinkedIn pages, providing exact follower counts and public firmographics such as industry, company size band, headquarters, founded year, and specialties.
Enables coding agents to query AI model API prices, including historical point-in-time lookups with cited sources, using a bundled dated dataset and requiring no API keys.
MCP server for LinkedIn Company Page analytics, providing follower growth, demographics, page views, and engagement stats via the Community Management API.
An MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.
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.
Minimalistic MCP server that lets AI assistants inspect, quality-check, and clean CSV datasets through tools, resources, and prompts, without needing local file access.
A research-informed MCP server that enables natural language question answering over local dataframes (CSV, Parquet, or Pandas) with safe, read-only execution and typed analysis plans.