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Render Postgres

Organization
render-oss
render-postgres

Sets up and optimizes Managed PostgreSQL on Render—connection strings (internal vs external), creation constraints, storage autoscaling, connection limits, high availability, read replicas, backups, and MCP inspection. Use when the user mentions Postgres, PostgreSQL, Render database, connection string, DATABASE_URL, backups, snapshots, replicas, HA, disk storage, connection pooling, or troubleshooting DB connectivity.

Overview

Publisherrender-oss
Repositoryskills
Skill namerender-postgres
Stars
90
Forks
21
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by render-oss on GitHub. Read the source before you install it.

Installation

Install the Render Postgres AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/render-oss/skills/tree/main/skills/render-postgres
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/render-oss/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/render-postgres .claude/skills/render-postgres
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Postgres in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Render Postgres on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Render Postgres is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Render Managed PostgreSQL

This skill covers Managed Postgres on Render: how to connect, what cannot change after creation, storage behavior, limits, HA, replicas, and safe deletion. Deep dives live under references/.

When to Use

Apply this skill when the user:

  • Configures Postgres for an app on Render (URLs, TLS, pooling)
  • Creates or changes a database, plan, disk, or replicas
  • Asks about backups, PITR, exports, or deleting a database
  • Hits connection limits, SSL errors, or latency between services and DB
  • Authors Blueprint databases / readReplicas or wires fromDatabase

For deploy flows and Blueprint basics, see render-deploy and render-blueprints. For private networking between services, see render-networking. For env var patterns, see render-env-vars.

Before configuring or troubleshooting an internal database connection, read references/private-networking.md.

Connection Patterns

Render exposes two connection URLs for the same logical database:

URLUse whenTLS
InternalApp or service on Render in the same region and workspaceNot required (private network)
ExternalLocal development, CI, or tools outside RenderRequired (TLS 1.2+)

Always prefer the internal URL for Render-hosted apps so traffic stays on Render’s network and avoids extra latency and public egress patterns.

  • IP allow list applies to external access only. Same-region Render services use the internal URL regardless of the allow list.
  • External clients must use TLS; misconfigured clients often show SSL handshake or sslmode errors.

URL formats, Dashboard locations, Blueprint fromDatabase, pooling, and common mistakes: references/connection-guide.md.

Creation and Setup

  • Instance display name: Can be changed later (where the Dashboard allows renaming the resource).
  • Immutable after creation: databaseName, database user, region, PostgreSQL major version. Plan these before create; changing them requires a new database and migration.
  • Storage size: 1 GB or multiples of 5 GB when provisioning.

Wire apps with Blueprint fromDatabase using property: connectionString, connectionPoolString when managed PgBouncer is enabled, or host, port, user, password, and database individually. See render-blueprints.

Multiple logical databases

You can run CREATE DATABASE new_db; in psql on the same instance. Host, port, and credentials stay the same; only the database name in the URL path changes (e.g. .../myapp vs .../new_db).

Storage Management

  • Autoscaling: When disk use reaches roughly ~90%, Render can grow storage by about ~50%, rounded up to the next 5 GB multiple, up to 16 TB max.
  • Cannot shrink disk after an increase.
  • Cooldown: After a storage increase, you cannot increase again for 12 hours.
  • Over limit / unhealthy: If disk is over the configured limit, the database can become unhealthy; Render may suspend it until resolved.

Monitor disk and plan exports or cleanup before you hit hard limits. Backup and restore options: references/backup-and-recovery.md.

Connection Limits

Connection limits depend on the database's compute plan. Use references/compute-plans.md to fetch the current Postgres plan catalog and connection limits instead of relying on a memorized table.

Render provides integrated PgBouncer connection pooling for paid Postgres instances. Enable it with connectionPool: pgbouncer in a Blueprint, then connect clients with the database's connectionPoolString. Keep application pool sizes aligned with the database connection limit; clients that require session-level state or dedicated long-lived connections must use the direct connection string. Enabling the managed pool restarts the database and causes a few minutes of unavailability. More detail: references/connection-guide.md and references/performance-tuning.md.

High Availability and Compute Plans

HA eligibility and plan-change behavior depend on the Postgres compute plan and version. See references/compute-plans.md before recommending a plan or changing an existing database.

Read Replicas

  • Up to 5 read replicas per database.
  • In Blueprints, declare replicas under readReplicas as a list of names.
  • CAUTION — declarative sync:
    • An empty readReplicas list can destroy all existing replicas.
    • Name mismatches between the Blueprint and live replicas can create new replicas and remove replicas whose names are no longer listed.

Always treat readReplicas as authoritative desired state, not additive-only.

Useful MCP Commands

Use the Render MCP tools (names may vary slightly by integration; align with your server’s tool list):

GoalTool / pattern
List databaseslist_postgres_instances
Instance detailsget_postgres with postgresId
Read-only SQLquery_render_postgres with postgresId and sql
Connection loadget_metrics with resourceId (Postgres ID) and metricTypes: ["active_connections"]

query_render_postgres runs in a read-only transaction and opens a new connection per query—do not use it as a substitute for app pooling.

Shorthand (same tools): list_postgres_instances(), get_postgres(postgresId), query_render_postgres(postgresId, sql), get_metrics(resourceId, metricTypes: ["active_connections"]).

Deleting and Data Safety

  • Backups and snapshots are not retained after you delete the database. Export first (pg_dump, Dashboard restore workflow from existing backups, etc.).
  • Before destructive actions, confirm retention and recovery paths in references/backup-and-recovery.md.

References

DocumentContents
references/compute-plans.mdCurrent Postgres Plan IDs, connection limits, downtime, HA, and legacy-plan migration
references/private-networking.mdCurrent private-network scope, internal addressing, isolation, and troubleshooting
references/connection-guide.mdInternal vs external URLs, SSL, allow list, Blueprint wiring, pooling, multi-database URLs, troubleshooting
references/backup-and-recovery.mdSnapshots, PITR, pg_dump / pg_restore, restore flows, deletion, cross-region
references/performance-tuning.mdpg_stat_statements, indexes, bloat, EXPLAIN ANALYZE, metrics, scaling

Related Skills

  • render-deploy — End-to-end deploy, services, and MCP/Dashboard flows
  • render-blueprints — databases, fromDatabase, readReplicas, immutable fields
  • render-networking — Private services, regions, and how traffic routes between resources
  • render-env-vars — Storing DATABASE_URL and secret wiring patterns

Current documentation retrieval

Whenever this skill directs you to consult current Render documentation:

  1. Retrieve the linked Markdown document directly with an available URL-fetching tool or HTTP client, such as curl. Do not substitute web-search summaries for the document.
  2. Confirm that retrieval succeeded and returned the expected document, then read its contents. Saving a file or printing its path is not sufficient.
  3. If the request fails or your tool cannot read the Markdown response, open and read the linked HTML version instead.
  4. If neither version can be retrieved, disclose that the current reference is unavailable and follow any topic-specific fallback in the skill. Use bundled guidance only for stable constraints, and do not guess at changeable platform details.

When a task requires multiple references, apply this workflow to each one and distinguish the documents you verified from those that remain unavailable.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Render Postgres AI skill do?

Sets up and optimizes Managed PostgreSQL on Render—connection strings (internal vs external), creation constraints, storage autoscaling, connection limits, high availability, read replicas, backups, and MCP inspection. Use when the user mentions Postgres, PostgreSQL, Render database, connection string, DATABASE_URL, backups, snapshots, replicas, HA, disk storage, connection pooling, or troubleshooting DB connectivity.

Why use Render Postgres on TypingMind?

Because you install it once and use it with any model. Render Postgres is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Render Postgres in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/render-oss/skills/tree/main/skills/render-postgres. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Render Postgres?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Render Postgres?

As many as you like. As long as a model supports skills, you can use Render Postgres with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Render Postgres AI skill free?

Yes. It is published on GitHub by render-oss under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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