Connect Postgresql to AI agents

Connect Postgresql to Claude, Codex, Cursor, or other AI agents for your entire team. Metorial security, governance, observability, and gives your team a unified Magic MCP url to connect.

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Supported Tools

Tools13Triggers2

list_tables

List Tables

List all tables in the PostgreSQL database, optionally filtered by schema. Returns table names, schemas, row estimates, and size information. Also supports listing views and materialized views.

delete_rows

Delete Rows

Delete rows from a PostgreSQL table based on a WHERE condition. Supports returning the deleted rows and requires explicit confirmation for full-table deletes.

list_schemas

List Schemas

List all schemas in the PostgreSQL database with their table counts and sizes. Useful for exploring the database structure and understanding the organization of tables across schemas.

insert_rows

Insert Rows

Insert one or more rows into a PostgreSQL table. Provide the data as an array of objects where keys are column names and values are the data to insert. Supports inserting multiple rows in a single operation and can optionally return the inserted rows.

manage_table

Manage Table

Create, alter, or drop a PostgreSQL table. Supports creating tables with columns, constraints, and foreign keys. For altering tables, supports adding columns, dropping columns, renaming columns, altering column types, and renaming the table.

describe_table

Describe Table

Get detailed schema information for a specific table, including columns, data types, constraints, indexes, and foreign keys. Useful for understanding table structure before building queries or modifying schemas.

manage_roles

Manage Roles

Manage PostgreSQL roles and their privileges. Supports creating and dropping roles, as well as granting and revoking privileges on databases, schemas, tables, and other objects.

manage_indexes

Manage Indexes

Create or drop indexes on PostgreSQL tables. Supports B-tree, Hash, GIN, GiST, and other index types. Can create unique indexes, partial indexes with WHERE conditions, and multi-column indexes.

update_rows

Update Rows

Update rows in a PostgreSQL table based on a WHERE condition. Specify the columns to update and their new values. Supports returning updated rows and allows complex WHERE conditions.

execute_query

Execute SQL Query

Execute an arbitrary SQL query against the PostgreSQL database. Supports all SQL operations including SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP, and more. Returns column metadata and result rows for SELECT queries, or affected row counts for DML statements. Supports complex queries with joins, subqueries, CTEs, window functions, and aggregations.

manage_schemas

Manage Schemas

Create, rename, or drop PostgreSQL schemas. Schemas are namespaces for tables, views, functions, and other database objects.

manage_views

Manage Views

Create and drop PostgreSQL views or materialized views, and refresh materialized views.

select_query

Select Query

Run a read-only SELECT query against the PostgreSQL database. Use this tool for data retrieval, reporting, analytics, joins, subqueries, read-only CTEs, window functions, and aggregations. Rejects non-SELECT SQL and runs inside a PostgreSQL READ ONLY transaction so data-changing statements are blocked. Use execute_query only when you intentionally need broader SQL operations such as INSERT, UPDATE, DELETE, CREATE, ALTER, or DROP.

More integrations teams use with Postgresql

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Bitbucket

Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.

Heroku

Deploy, manage, and scale applications on Heroku's cloud platform. Create and configure apps, scale dynos, provision add-ons (databases, caching, etc.), manage configuration variables, build and release code, add custom domains and SSL certificates, manage collaborators and team permissions, configure pipelines for continuous delivery, set up log drains, and sync data with Salesforce via Heroku Connect. Subscribe to webhooks for real-time notifications on app changes, builds, releases, dyno lifecycle events, and more.

Technical notes for Postgresql

Query, insert, update, and delete data in PostgreSQL relational databases. Explore schemas and tables, manage schemas, tables, indexes, views, materialized views, and database roles, and poll tables for row changes using timestamp or incrementing columns.

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Frequently asked questions

Common questions about connecting Postgresql to AI agents with Metorial.

  1. Can Metorial connect Postgresql to AI agents?
    Yes. Metorial connects AI agents to Postgresql through a governed integration layer, so teams can use the provider while keeping access controlled and observable.
  2. Metorial is MCP compatible and lets teams expose approved provider tools to MCP-capable agents and clients through a controlled access layer.
  3. Metorial applies policies across users, groups, providers, agents, and individual tools, then records the context around every agent interaction.
  4. Yes. Metorial records provider activity so teams can inspect tool calls, troubleshoot integrations, and give security teams the visibility they need.