"Understanding Structured Thinking" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Indeed job listings by keyword and location, and full postings, as structured JSON.
Google Scholar search results, citation counts and citation export formats, as structured JSON.
Amazon keyword search, product details, seller profiles and seller catalogues, as structured JSON.
Yelp business search, place details and the full review feed, as structured JSON.
Yellow Pages local business search and full business listings, as structured JSON.
The public product catalogue and collections of any Shopify storefront, as structured JSON.
Booking.com stays by destination and dates, and full property details, as structured JSON.
DXF and PDF/X-4 for AI agents: structured facts, PNG renders, an interactive in-chat viewer.
Redfin for-sale, for-rent and sold listings plus full property pages, as structured JSON.
Zillow for-sale, for-rent and sold listings, and full property details, as structured JSON.
Independent owner-side QA for structured-cabling certification closeout evidence.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Convert PDF bank statements into structured transactions, accounts, and balances.
Fetch any web page as text, markdown, HTML or a screenshot — JavaScript, CAPTCHAs and anti-bot blocking handled — and extract structured data; JSON tools for Google, Amazon, Walmart, YouTube, ChatGPT and Gemini.
Hosted MCP: 3631 structured web-data tools across 471 platform groups.
Airbnb stays by location and dates, and full listing details, as structured JSON.
A fast, secure, and LLM-friendly Model Context Protocol (MCP) server that scrapes job listings from major platforms (LinkedIn, Indeed, Google) and converts them into structured Markdown format.
Operate a real LinkedIn account from your AI agent. 52 tools for the inbox, invitations, network, profiles, Sales Navigator search in plain language, posts and engagement; six playbooks served as MCP prompts that preview before they write; daily quotas enforced server-side; structured errors; idempotent writes; signed webhooks when a prospect replies or a connection is accepted. LinkedIn only. 7-day trial, no card.
Preflight FactoryTalk View import CSV files before import. Detects deterministic schema, row, field, and compatibility issues and returns structured exceptions for review.
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
