"A server providing context 7" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
AI-powered data integration platform. Onboard users and run DPF data workflows.
The financial MCP for AI agents - 90+ financial tables, SEC filings, signals, alt-data.
Self-hosted MCP gateway: turn any API, database or MCP server into AI connectors — no code.
Multi-tenant FastMCP server for Charles Schwab brokerage data, monetized via DPYC Tollbooth
Token-bounded (< 1.5 KB / ~300 tokens) public data refinery for AI agents. Delivers sub-5ms corporate filings (US SEC EDGAR, UK Companies House, France INPI), beneficial ownership graphs, public procurement tenders (Spain PLACSP, EU TED), and automated corporate risk scoring. Cuts LLM context waste by ~95%.
Paste-your-data analytics: CSV profiling, A/B tests, correlation, growth. 4 of 7 free.
Provenance-first DePIN telemetry: 331 live networks + 129 Bittensor subnets, 10,508 series.
Converts customer-supplied PDF bank statements into checked Excel, CSV, or JSON with balance validation. Hosted Streamable HTTP endpoint; each user brings their own MainBook API key, and the server never connects to bank accounts.
Scrapingdog MCP — wraps Scrapingdog (scrapingdog.com), a proxy-based web
Gateway between LLM agents and world data through eight tools and a bundled endpoint catalog.
Pre-computed market data that improves agent reasoning, reduces token usage, and replaces pipelines.
Baking unit conversion (cups/grams/temp/recipe scaling). convert_amount, convert_temperature
Post-scrape data cleaner, no LLM: repairs mojibake, HTML, invisible chars. Plus a verdict.
Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.
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.
Messy spreadsheets in, clean checkable tables out. Every result carries its arithmetic proof.
Google Cloud Billing BigQuery export reporting through a user-connected service account.
Statements, invoices, tables, ledgers — every result carries its own arithmetic proof.
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
Live job postings from 30+ ATS feeds and job boards, one schema. Live results need a Bearer key.
