"Information about Python (programming language or general information)" matching MCP connectors:

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

No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

No-code databases, forms, portals and AI sites. Manage records and automation via natural language.

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

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

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 any database — PostgreSQL, MySQL, or SQL Server — in seconds.

Backend for vibe coders. Connect Butterbase to any MCP-compatible AI coding tool and provision a full backend automatically — database, authentication, file storage, edge functions, and real-time — from a natural language prompt. No SQL, no configuration, no backend knowledge required. Free to start at butterbase.ai.

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 comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.

Query your org's data in natural language — read-only MCP access to SQL, NoSQL, files & warehouses.

Query BigQuery, Snowflake, Redshift & Azure Synapse with natural language

Connect Claude, Cursor, or ChatGPT to your business data. Ask questions, get answers.

Ask data questions in natural language. Get SQL, insights, and charts from your databases.

The HubSpot MCP Server acts as a bridge that enables AI assistants and Large Language Models to securely interact with HubSpot CRM data through natural conversation, without requiring users to understand complex API structures. It provides read-only access to standard CRM objects (contacts, companies, deals, tickets, products, invoices, and more) and their associations, secured via OAuth 2.0, allowing AI agents to perform tasks like summarizing deals, fetching company updates, and looking up record changes.

The Ramp MCP server enables users to securely connect Ramp with AI assistants like ChatGPT and Claude to query financial data and take actions using natural language. It transforms Ramp's developer API into a SQL interface that LLMs can query, allowing admins to analyze spend trends, identify cost savings, and run complex SQL analyses on comprehensive datasets (transactions, purchase orders, vendors, users), while all users can manage cards, view transactions, request reimbursements, and get expense policy answers.

Bring Kubit into your AI workflow — query your warehouse with natural language