"Understanding the concept of 'handle' in different contexts" matching MCP connectors:

The first low-latency wire service purpose-built for AI agents. Ingests 54+ public APIs and 71k RSS feeds across 232 countries, outputs CWF (Cognitive Wire Format) – 80% shorter than JSON, sub-second WebSocket delivery. 9 MCP tools: get_latest_signals, search_signals, get_fused_signal, scope_signals, get_facet_manifest, list_facets, get_related_signals, list_data_sources, get_billing_profile. 26 citable fusion products with verifiable formulas – no black-box scores.

Bounce Watch tells you what just changed at a company, and when. Who raised money. Who hired a senior person. Who opened an office, won a customer, announced a partnership, achieved a certification. Who is laying people off. Over forty kinds of event, and every single one carries the date it happened. That date is the whole point. Knowing a company raised money is not very useful on its own. Knowing they raised it eleven days ago is the difference between a good call and a late one. Ask in plain language — "which Dutch companies under 50 people raised in the last month", "what has been happening at stripe.com", "anything new at the companies I am watching" — and get real company names back with dates and sources. Three million events so far, and the list grows every day. Not every event matters the same. A funding round and a conference appearance are both events, but they are not the same news, so each one carries a score from 1 to 10. Set a minimum and the noise disappears from the answer. It can also come to you rather than waiting to be asked. Put a watch on a company and you get told the next time something happens there — pushed to your webhook, or waiting for you the next time you ask. And when we do not know, we say so. "Nothing happened at this company" and "we have not checked this company recently" look identical from the outside: an empty answer. An AI assistant will read that empty answer and confidently tell you the company is quiet. So every response says how recently we looked. Ask for something we do not recognise and we tell you what we do recognise, instead of quietly returning a few rows that look like a real answer. Ten tools, eight of them read-only. The two that write are annotated, so a client can gate them behind approval instead of guessing. Connect with OAuth — press Connect and approve in the browser, no key to paste. Every new account gets 2,500 free credits, no card and no expiry. Paid plans start at 99 EUR a month, and the same account covers the regular REST API too.

Ask Personio Recruiting the recruiting-ops questions dashboards miss by connecting applications, stage transitions, candidates, recruiting jobs, categories, org units, workplaces, jobs catalog, webhooks, event activity, and intake documents. Find stage-movement stalls, candidate freshness gaps, source quality by job/category, hiring load by department and workplace, webhook delivery issues, intake readiness gaps, and bottleneck owners. No dashboard build. No SQL.

Find novel, statistically validated patterns in tabular data — hypothesis-free.

Find duplicate records in 30 seconds. Zero-config entity resolution, 97.2% F1 out of the box.

The financial MCP for AI agents - 90+ financial tables, SEC filings, signals, alt-data.

Read and write patients, facilities, medical documents, and consolidated FHIR records in Metriport.

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.

Extract structured data from Bills of Lading: parties, ports, containers, incoterms. EU-hosted.

Self-hosted, open-source MCP gateway: turn any API, database or MCP server into custom connectors for Claude, ChatGPT, Gemini, Copilot & Cursor — no code. Converts REST, SOAP, WSDL, GraphQL & SQL to MCP, with OAuth2, RBAC & audit log. 175+ pre-built adapters. This is the public read-only demo endpoint — run your own at https://github.com/HelpCode-ai/anythingmcp

CoreModels schema editor: nodes, mixins, relations, JSON Schema import/export. Sign-in required.

Schema modeling in JSON, JSON-LD, and other formats with CoreModels platform.

AI-Ready Data Platform that fills the missing layer between data management and AI execution.

RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats.

Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.

Access live interest rate forward curves, swap pricing, FX forwards, inflation forecasts, and bond yields directly from your AI workflows. Blue Gamma's MCP server exposes the same data available through their API and Excel Add-in — covering indices like SOFR, SONIA, EURIBOR, ESTR, CORRA, STIBOR, NIBOR, and CIBOR. Query swap rates, pull forward curves, and price amortising swaps without leaving your LLM-powered tools. Requires a Bluegamma account — sign up at bluegamma.io.

Renders interactive Chart.js charts and dashboards inline in AI conversations.

Renders interactive Chart.js charts and dashboards inline in AI conversations. Supports bar, line, area, pie, doughnut, scatter, and radar charts with multi-chart dashboard grids.

Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡

Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.