"Information on Conducting In-Depth Research Techniques" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Ask Claude, ChatGPT, Cursor or any AI tool how your site is doing — the answers come from your own Google Analytics 4 (GA4) property. Paste https://app.anacraft.dev/mcp, sign in with Google and pick your site; nothing to install. Twelve tools: headline metrics against the previous period, live visitors, top pages, events, referrers, traffic sources and countries, page and event search, and an audit that checks whether the GA4 property is measuring correctly before its numbers are quoted. One tool writes: it creates a GA4 property and web stream for a new domain and returns the tag to paste.
Google Ads, Reddit Ads, GA4 and Tag Manager in your AI client, with a preview before every change.
Connect Google Analytics 4, Google Ads and Search Console to Claude in two minutes. Hosted MCP server with Google OAuth: no Cloud project, no keys, nothing to install.
Read-only Polymarket search, market details, order books, price history, and interactive market cards. Connect through OAuth with Google sign-in.
Forms, submissions, workflows and reports in Faldaro, exactly as privileged as your API key.
Funding histories, bank filings and settlement data with source receipts, units and capture clocks.
OutSend is a B2B prospecting platform exposed as a remote MCP server. Ask your assistant for "1,000 plumbers in Lyon with verified emails" and it runs the whole job on OutSend: extract local businesses by search query and geographic area with a cost and volume estimate before launching, enrich any finished job with emails, social profiles, reviews, tech stack, and email deliverability checks, chain steps into pipelines (extract, enrich, filter, verify) and schedule recurring monitors that rerun
Find novel, statistically validated patterns in tabular data — hypothesis-free.
Mine, validate and paper-trade quantitative trading strategies. The engine runs on your machine.
The official Model Context Protocol server for Ambee. It gives any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, VS Code, Ollama, and more direct access to live air quality, pollen, and weather data. To get started, including information on signing up and obtaining your Ambee key, check out the Ambee documentation on https://docs.ambeedata.com
Fuzzy entity resolution and dedupe for names, addresses, and company records — the "is this the same person/company" problem that breaks exact-match joins. Clean CRM exports, merge duplicates, reconcile vendor lists. Pay-per-call via x402 (USDC on Base): $0.008/call, no account or API key. tools/list and /openapi.json are free for discovery.
Scans text for personally identifiable information — emails, phone numbers, SSNs, credit card numbers, physical addresses, names — and returns a redacted version. Built for agents sanitizing user content, support tickets, logs, or documents before storage, sharing, or feeding into another LLM call. Pay-per-call via x402 (USDC on Base): $0.01/call, no account or API key. tools/list and /openapi.json are free for discovery.
Dedupe, flatten and clean messy JSON rows (emails, phones, URLs, HTML) in one call, as JSON or CSV.
Financial data and research MCP for US/CN/JP equities: filings, statements, ownership, signals.
Join two lists of JSON rows on a key, like SQL or VLOOKUP: left, inner, full, anti joins, union.
Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit.
Real-time Amazon data API built for AI agents. 200M+ products, 1B+ reviews, live BSR, pricing, and competitor data as clean JSON. 10 agent skills for market research, competitor monitoring, pricing analysis, and listing audits.
APIs and MCP for structured public data, web research, CAPTCHA, and source-bound data cleanup.
Job listings in Portugal: search, salary statistics, comparables and companies.
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
