"Gathering Context from an Ubuntu Server" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
formcarry handles everything after your form is submitted: it emails you, auto replies to the person who submitted, filters spam, and delivers webhooks. You write the HTML form and set its action to a URL formcarry gives you. An agent can create a form, wire the emails and webhooks, and answer questions about the submissions, like how many signups last week.
Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.
Connect your ads, shop, analytics, social, CRM and finance platforms once, then let Claude, ChatGPT, Cursor or any MCP client read, join and explain your numbers. Public statistics from the World Bank, IMF, Eurostat, OECD, WHO and SEC filings come as context, searchable and chartable from the same tools. Read-only by design, every number carries its source.
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
AI-powered data integration platform. Onboard users and run DPF data workflows.
Extract schema-guaranteed JSON from PDFs, images and messy text. 50 free credits, no card.
Document conversion MCP server (streamable HTTP): PDF to Markdown, OCR, spreadsheet parsing, URL to clean text. Monetized via x402 USDC micropayments.
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.
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
Document conversion MCP server: PDF to Markdown, image OCR, spreadsheet parsing.
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.
Provenance-first DePIN telemetry: 331 live networks + 129 Bittensor subnets, 10,508 series.
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%.
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
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
Financial data and research MCP for US/CN/JP equities: filings, statements, ownership, signals.
Pre-computed market data that improves agent reasoning, reduces token usage, and replaces pipelines.
Free to compete: testnet faucet funds everything. Rebuild true stock from messy ledgers.
Contractor dataset discovery, masked previews, pricing, and production API plans from $39/month.
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.
