"How to use remote URLs with SSE without local files" 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.

Auto-discover validation rules from data — scan, profile, health-score. No rules to write.

Bounded data, document, web-quality, and operations services purchased with USDC through x402.

Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.

Live job postings for AI agents: search normalized postings from 30+ ATS feeds and job boards by title, skill, country, remote, seniority and recency. Also lists sources and pricing plans.

Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.

Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.

Live data gateway for AI — 3,300+ tools across 750+ sources, with citations

AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.

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

Connect your Nubank account to AI via Brazil's Open Finance: balances, statements, cards, investment

Valid and reliable data engineering and statistical analysis without hallucinations.

Interact with your Google Cloud Datastream resources using natural language commands.

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

Local business intel for AI agents: audits, lead scoring, tech stack, prospecting.

AI web extraction: send URLs + a JSON Schema, get clean structured data. Pay-per-use via x402.

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).

Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.

One command to validate, transform, and deduplicate — chain GoldenCheck + Flow + Match.

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.