"A microcontroller with image processing capabilities" matching MCP connectors:

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

688 humanoid robot component entities with 4-dimension compatibility checking. Vendor-neutral.

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.

x402 pay-per-call infra for agents: $0.03 image generation, Postgres, auth, storage, functions.

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.

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

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

EU-native PaaS for AI agents — deploy web apps with one sentence, managed Postgres, GDPR by default.

Interact with your Google Bigtable resources using natural language commands.

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

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.

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

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.

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

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

PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.