pg-aiguide adds AI-optimized PostgreSQL expertise to coding assistants. What does that mean?
In With MCP Docs Servers You’ll Never Run Out Of Fresh Documentation we found out why documentation is very important for coding assistants:
MCP has changed the way you interact with your tools overnight. Now it targets your documentation. Wouldn’t be great to have the latest and updated code samples and documentation of your favorite framework and libraries ready at your fingertips? Plus, be able to talk to it in natural language?
The important thing here is updated or "fresh" documentation. What problem does this eradicate? As explored in [Vaadin Now Does MCP](htt…
pg-aiguide adds AI-optimized PostgreSQL expertise to coding assistants. What does that mean?
In With MCP Docs Servers You’ll Never Run Out Of Fresh Documentation we found out why documentation is very important for coding assistants:
MCP has changed the way you interact with your tools overnight. Now it targets your documentation. Wouldn’t be great to have the latest and updated code samples and documentation of your favorite framework and libraries ready at your fingertips? Plus, be able to talk to it in natural language?
The important thing here is updated or "fresh" documentation. What problem does this eradicate? As explored in Vaadin Now Does MCP :
The deal here is that before MCP, asking say Copilot would fetch answers from it’s training set which could be outdated. Instead the MCP server now offers all the up to date documentation and enables real time retrieval and semantic search over it.
As such Vaadin’s MCP server always fetches fresh information, be it component APIs, theming, or version details. Its main selling points are:
Find answers fast: semantic search across the official Vaadin docs.
-
*Ground your assistant’s suggestions: fetch exact passages from the docs to cut down on hallucinations.
- *Use the correct, current APIs: component version awareness and references to avoid deprecated patterns.
- *Build idiomatic Vaadin apps: best-practice guidance for components, layouts, and data binding.
- *Keep styling consistent: theming tokens and styling guidance pulled straight from the docs.
- Get up to speed quickly: a concise Vaadin primer with practical do’s and don’ts.
Well, pg-aiguide applies that principle to Postgres. It draws on updated documentation and best practices to instruct your AI coding assistant to generate the right code. It provides:
- Semantic search across the official PostgreSQL manual
- AI-optimized “skills” — curated, opinionated Postgres best practices used automatically by AI agents
- Extension ecosystem docs, starting with TimescaleDB, with more coming soon
Let’s see an example in action. Not using pg_ai and trying instruct your agent to generate a schema would probably not use features added in late PostgreSQL versions, such as:
- GENERATED ALWAYS AS IDENTITY
- Expressions or partial indexes
- CHECK constraints
Employing pg-aiguide does! So you get both semantic search over the official version aware PostgreSQL manual and best practice coverage for tasks like :
- Schema design
- Indexing strategies
- Data types
- Data integrity and constraints
- Naming conventions
- Performance tuning
- Modern PostgreSQL features
pg-aiguide is available as a public MCP server:
https://mcp.tigerdata.com/docs
which is applicable for Agentic coding tools like Cursor, Gemini CLI, or Visual Studio, but requires manual configuration. Claude, however, gets special treatment, the server being instead available as a Skill installed as:
claude plugin marketplace add timescale/pg-aiguide claude plugin install pg@aiguide
The server is of course open source and offered by TimescaleDB, now called TigerData.
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