"Understanding Persistent Memory in Cursor Functionality" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Forms, submissions, workflows and reports in Faldaro, exactly as privileged as your API key.
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.
Dedupe, flatten and clean messy JSON rows (emails, phones, URLs, HTML) in one call, as JSON or CSV.
Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit.
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
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
Job listings in Portugal: search, salary statistics, comparables and companies.
Sources in, feeds out: an open, ever-growing database of real-time public data, enriched.
Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu
Messy spreadsheets in, clean checkable tables out. Every result carries its arithmetic proof.
Read and write patients, facilities, medical documents, and consolidated FHIR records in Metriport.
Live job postings from 30+ ATS feeds and job boards, one schema. Sign in with OAuth, or use a key.
Read-only Polymarket search, market details, order books, price history, and interactive market cards. Connect through OAuth with Google sign-in.
- KamaiOAuthio.kamai.mcp
Kamai is an AI-powered construction blueprint intelligence platform that automatically extracts quantities, measurements, objects, rooms, walls, and other structured data from construction drawings. Through MCP, you can connect Kamai directly to AI assistants and ask questions about your plans in natural language, generate takeoffs and tables, analyze relationships between building elements, and use blueprint data inside broader estimating, procurement, and construction workflows. Kamai turns
- ChrysaiOAuthcom.chrysai
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. Supports bar, line, area, pie, doughnut, scatter, and radar charts with multi-chart dashboard grids.
Renders interactive Chart.js charts and dashboards inline in AI conversations.
Generate and run high performance queries on open and private spatial data at-scale in the cloud
