"How to run a Python file using Claude Desktop" matching MCP connectors:

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.

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.

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

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

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.

Sandbox workspace tools: search, file read, DB queries, integrations. Returns synthetic data.

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

Read-only analytics for Convex apps, queryable via MCP from Claude, Cursor, and other clients.

Interact with your Google Bigtable resources using natural language commands.

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.

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

Provides tools to manage Memorystore for Valkey instances and backups.

Interact with your Google Cloud Firestore 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.

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

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

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