Productivity
Airtable
By Airtable
Airtable's official hosted MCP server lets AI list workspaces, create bases and read records, with wider read and write access to tables and automations.
- Official
MCP server category
Database MCP servers
Ask questions of your data in plain English, with access you control.
- 16 MCP servers
Database servers let an AI assistant look at your schema, run queries and explain the results. For business teams, that means answers to questions such as "which customers ordered less this quarter" without waiting for someone to write a report. Vector database servers add search by meaning for knowledge assistants.
The rule we always follow is to start read-only. Connect to a replica or a restricted user that can only read the tables the assistant needs, and log every query.
Databases
All database mcp servers
Databases
BigQuery
By Google Cloud
Google's remote BigQuery MCP server lets AI list datasets and tables and run SQL, with a read-only query tool and IAM controls.
- Official
Databases
Chroma
By Chroma
Chroma's official MCP server lets AI create collections, add, query, update and delete documents in a Chroma vector database, local or cloud.
- Official
Databases
Elasticsearch
By Elastic
Elastic's Agent Builder MCP endpoint lets AI search indices, run ES|QL queries and read mappings and documents in Elasticsearch.
- Official
Automation
Google Analytics
By Google Analytics (googleanalytics GitHub org)
Google Analytics' official MCP server lets AI run GA4 reports, funnels and realtime reports and read property settings. Read-only.
- Official
Productivity
Google Sheets
By Google
Google's own Sheets MCP server lets AI read and update cell values and formulas, change spreadsheet structure and insert rows or columns.
- Official
Databases
MongoDB
By MongoDB
MongoDB's official MCP server lets AI query collections, run aggregations and manage Atlas clusters, with a read-only flag for safe use.
- Official
Databases
MySQL
By Ben Borla (community)
A community MCP server that lets AI run SQL against MySQL, read-only by default, with insert, update and delete each switched on separately.
- Community
Databases
Pinecone
By Pinecone
Pinecone's official developer MCP server lets AI search Pinecone docs, manage indexes, upsert records, search and rerank.
- Official
Databases
PostgreSQL
By Crystal DBA
Lets AI assistants explore a PostgreSQL database, run SQL in a restricted read-only mode and check query performance and database health.
- Community
Databases
Qdrant
By Qdrant
Qdrant's official MCP server gives AI a semantic memory: store information in a Qdrant collection and find it again by meaning.
- Official
Databases
Redis
By Redis
Redis's official MCP server lets AI read and write Redis data structures, search vector indexes and inspect server information.
- Official
Databases
Snowflake
By Snowflake
Snowflake's managed MCP server exposes admin-defined tools, such as Cortex agents, Cortex Analyst, Cortex Search and SQL, to AI assistants.
- Official
Databases
SQLite
By eQuill Labs (jparkerweb, community)
A community MCP server for SQLite files that lets AI list tables, read and change records and run SQL on a local database.
- Community
Databases
Supabase
By Supabase
Supabase's official hosted MCP server lets AI work with your Supabase projects: tables, SQL, migrations, edge functions, branches and docs.
- Official
Databases
Weaviate
By Weaviate
An MCP server built into Weaviate that lets AI read collection settings, list tenants, run hybrid search and, when allowed, upsert objects.
- Official
How to choose
How to choose in this category
Use the official server from your database vendor where one exists. Create a dedicated database user with the smallest possible permissions, point it at a replica if you can, and test with real questions before giving it to a wider team. Only add write access for narrow, well-tested tasks.
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Related on ExecMedia
Related services
View all related services- MCP integration Connect AI assistants to your CRM, files, databases and tools through Model Context Protocol servers, with safe permissions.
- Database design Data models that stay fast and correct as your business grows, with backups and access rules in place.
- Web applications Custom browser-based software for the work your team does every day, from booking tools to operations systems.
- Dashboards and reporting Dashboards that pull numbers from the systems you already use and show what matters without a spreadsheet.
- Multi-tenant architecture One product serving many customer accounts, with each account's data kept separate and secure.
- Admin panels The back-office screens your team uses to manage users, content, orders and settings without a developer.
Solutions
View all solutions- Automated reporting Reports that build themselves from your systems on schedule, with a plain-language summary of what changed.
- Knowledge assistant (RAG) Ask a question in plain words and get an answer from your own documents, with links to the sources.
- AI automation and integrations Connect the tools you already use so data moves once, correctly, and AI reads the parts that arrive as text or documents.
- Forecasting dashboards Forecast demand from your sales history and seasonality, and flag items to reorder before they run out.
- Payroll automation Turn pay rules, attendance and leave into tested software so the monthly run becomes a review and payslips go out in one batch.
Guides and articles
View all guides and articles- How to connect AI to your database safely Let staff ask questions of your data in plain English without risking production systems or sensitive records.
- How to automate reporting with AI and MCP Build reports that assemble themselves from your systems through MCP, with a written summary people can trust.
- PostgreSQL vs MySQL The two most popular open-source databases compared for business applications.
AI models
View all ai models- Embeddings Models that turn text into vectors for search, retrieval, clustering and recommendations.
- text-embedding-3-large OpenAI's most capable embedding model for search and retrieval, with 3,072-dimension vectors and support for English and other languages.
- text-embedding-3-small OpenAI's efficient, lowest-cost embedding model, with 1,536-dimension vectors for search, retrieval and similarity at scale.
- Cohere Embed v4 Cohere's multimodal embedding model for enterprise search, embedding text, images and mixed documents, with flexible vector sizes and long inputs.
- Voyage 4 Voyage AI's current embedding series, now part of MongoDB, with large, standard and lite models that share one embedding space.
Glossary terms
View all glossary terms- Database A database is an organized store of data that software can search, update and keep consistent, such as customers, orders or bookings.
- Embeddings Embeddings are lists of numbers that represent the meaning of text or images, so software can find items that are similar in meaning.
- MCP server An MCP server is a program or hosted service that exposes a system's data and actions as tools that AI assistants can use through the Model Context Protocol.
- Model Context Protocol The Model Context Protocol, or MCP, is an open standard for connecting AI assistants to external tools and data in a consistent way.
- Semantic search Semantic search finds results by meaning rather than exact words, so a search for "reset my login" can find an article titled "Forgot your password".
- Vector database A vector database stores embeddings, lists of numbers that represent meaning, and quickly finds the ones most similar to a query.