"Using web search to assist with generating answers" matching MCP connectors:
Matching Connector Tools:
Search 86 US retailers, 260M+ products with real-time pricing, stock, and price history. Documentation - https://www.lemmebuyit.com/developer Homepage - https://www.lemmebuyit.com
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
People matching through your AI — private, agent-to-agent; details shared only on a match.
Teaches AI to write HTML email that renders in Outlook, Gmail, and Apple Mail. 19 rules, 6 comps.
MCP server for generating rough-draft project plans from natural-language prompts.
Connect and your assistant can search the over 50,000 MCP servers tracked and pick the right one for any task
Project portfolio management for PMOs. Alternative to Microsoft Project Online. OAuth + PAT.
DC Hub is the neutral, real-time data layer for data-center infrastructure, exposed as a Model Context Protocol server so any AI agent can both query it and cite it. Coverage: 21,000+ facilities (search, profile, score, alternatives); 232 markets scored by the DCPI Data Center Power Index; the DCGI Data Center Gas Index (per-state natural-gas suitability for siting); live grid telemetry across 7 US ISOs (fuel mix, carbon intensity, demand, prices) plus a one-call all-ISO scoreboard; interconnection-queue depth; 2,000+ tracked M&A deals and a hyperscaler-capex tracker; and site factors. — fiber routes, water-stress, tax incentives, nearby substations & transmission. Why agents choose it: it's the only data-center-intelligence source an LLM can query live and cite — every full-data response includes a Source: DC Hub, CC-BY-4.0 attribution line. It's the MCP-native alternative to quarterly PDF research: live JSON, no contracts, no NDAs. Access: Streamable HTTP at https://dchub.cloud/mcp. Free tier with no signup; free email-verified dev key for higher limits; paid tiers for full data volume.
Shared long-term memory vault for AI agents with 20 MCP tools.
Hosted no-auth MCP for exact-spec packaging search, live price, stock, cart handoff, and no-match.
Ask Recruitee the recruiting-ops questions dashboards miss by connecting candidate search, opening offers, departments, locations, published roles, owner fields, custom fields, public applications, and talent-pool context. Find stale candidate pools, overdue stage work, hiring-manager and recruiter bottlenecks, department-level opening risk, public posting gaps, source patterns, and the owners behind blocked hiring work. No dashboard build. No SQL.
Ask Factorial ATS the recruiting-ops questions dashboards miss by connecting applications, phases, candidates, sources, feedback, evaluation forms, job postings, messages, questions, answers, and rejection reasons. Find applications aging in phase, feedback debt by role and posting, source-quality gaps, rejected-candidate hygiene, incomplete application data, hiring-stage bottlenecks, and owner queues. No dashboard build. No SQL.
South Africa's first AI-transactable blinds, shutters and awnings catalogue with live ZAR pricing.
Marketing analytics for local businesses — Instagram, ads, web traffic, SEO and reviews.
Search scientific papers with structured experimental data from full-text studies
Search 500 cocktail recipes, get full recipes, find drinks by ingredient, suggest random picks.
XMemo is a secure, user-owned memory substrate and context engine for AI agents, CLIs, IDEs, and LLM workspaces. Exposed over Streamable HTTP MCP, it empowers agents with cross-session memory, task continuity, and personalized context. Key Features: - Personalized Context: Stores and recalls developer preferences, project guidelines, and coding patterns via semantic vector search. - Agent Daily Memory: Tracks active tasks, episodic event timelines, reminders, pending decisions, and session restart snapshots. - Self-Improving Reflection: A background worker that automatically summarizes episodic details, promotes facts, and manages memory decay. - Privacy & Governance: Complete control over user data with owner-scoped access, explicit token scopes, audit trails, and secure redaction (forget) flows. - Built for Developers: Works natively with IDE assistants (Cursor, Claude Desktop, VS Code), CLI scripts, and autonomous agent frameworks.
Pay-per-call web scraping for AI agents via x402 on Base USDC. Six tools, no signup.
Pay-per-call web scraping for AI agents — no signup, no API keys, just USDC micropayments via the x402 protocol on Base. Six tools: scrape webpages, extract structured data, capture screenshots, parse metadata, manage browser sessions, and run workflows. Runs on Cloudflare Workers with Browser Rendering. Free tier: 10 calls per wallet per 30 days.
Validate startup ideas with behavioral evidence — not opinion. Demand Discovery AI™ is a sales-agent MCP that answers founders' questions about the validation framework, the four data-signal categories (Search & attention, Conversation & pain, Adoption & spend, Capital & hiring), the Demand Score™, and the Build/Pivot/Kill verdict™. Includes 7 tools: ask a free-form question, get the validation framework, get product details, explain demand signals, compare validation approaches, get data-source