"How to add a note to an order or object" matching MCP connectors:

Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.

AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents

Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

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

UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.

Cross-brand carbide grade equivalents from verified manufacturer charts; never invents a grade.

Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.

Public-registry routing map by entity kind. Read-only reference data, not a determination.

Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.

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

It connects with Smart Data models database with more than 1000 open licensed data models and helps you to create applications and systems interoperable with existing standards or real applications

Connect your AI to your Well financial data - invoices, companies, contacts.

A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.

Provides tools to manage Memorystore for Valkey instances and backups.

The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.

DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.

Managed MCP gateway for PostgreSQL. Connect Cursor, Claude Desktop, VS Code, and Windsurf to your database with per-table permissions, encrypted credentials, and a full query audit trail. OAuth 2.0 authentication, free tier available.

An MCP server for converting data between 16 formats including JSON, YAML, TOML, CSV, XML, Markdown, HTML, Excel, PDF, and more. Supports single transforms, batch fan-out to multiple targets in one call, and JSON reshaping with dot-notation path mapping. 240 conversion pairs, zero config.

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.