io.github.timescale/pg-aiguide MCP Server
io.github.timescale/pg-aiguide
AI-optimized PostgreSQL expertise for coding assistants with semantic search and best-practice skills.
What is the io.github.timescale/pg-aiguide MCP server?
pg-aiguide is an MCP server that provides AI coding tools with deep PostgreSQL knowledge through semantic search over official documentation and curated best-practice skills. It helps AI agents generate better, more robust PostgreSQL schemas and code by offering version-aware documentation access and proven patterns for schema design, indexing, and modern PostgreSQL features.
pg-aiguide enhances AI coding assistants like Claude, Cursor, and others with comprehensive PostgreSQL expertise. It combines semantic search across the official PostgreSQL manual with AI-optimized skills covering schema design, indexing strategies, data types, constraints, and performance tuning. The server also includes documentation for TimescaleDB and PostGIS, helping AI agents write production-ready database code that follows real-world best practices.
How to install io.github.timescale/pg-aiguide
Copy-paste configuration for popular MCP clients.
OPENAI_API_KEYrequiredsecretYour API key for text embeddings via OpenAI
PGHOSTrequiredsecretPostgreSQL host to connect to
PGPORTrequiredsecretPostgreSQL port to connect to
PGUSERrequiredsecretPostgreSQL user to connect as
PGPASSWORDrequiredsecretPostgreSQL password to connect with
PGDATABASErequiredsecretPostgreSQL database to connect to
DB_SCHEMAsecretPostgreSQL database schema to use
Tools & capabilities
Tools this server exposes to the agent.
search_docs— Unified semantic and keyword search across PostgreSQL, TimescaleDB, and PostGIS documentation with version-aware scopingview_skill— Access curated, opinionated PostgreSQL best-practice skills covering schema design, indexing, data types, constraints, naming conventions, and performance tuning
Use cases
- Generate robust PostgreSQL schemas with proper constraints and indexes automatically suggested by AI agents
- Search the official PostgreSQL manual semantically to find relevant documentation for specific database problems
- Access TimescaleDB and PostGIS documentation alongside PostgreSQL to design schemas for time-series and spatial data
- Improve AI-generated SQL code quality by providing agents with modern PostgreSQL features and best practices
- Design e-commerce, IoT, or other complex database schemas with AI assistance informed by production patterns
io.github.timescale/pg-aiguide MCP server FAQ
pg-aiguide is an MCP server that gives AI coding assistants like Claude and Cursor deep PostgreSQL knowledge through semantic search over official documentation and curated best-practice skills for schema design, indexing, and performance.
Yes, pg-aiguide is open source (Apache 2.0) and available as a free public MCP server at https://mcp.tigerdata.com/docs.
Click the one-click install button in the README, or manually add to .cursor/mcp.json: {"mcpServers": {"pg-aiguide": {"url": "https://mcp.tigerdata.com/docs"}}}
Run 'claude plugin marketplace add timescale/pg-aiguide' followed by 'claude plugin install pg@aiguide', or add the MCP server URL https://mcp.tigerdata.com/docs to your configuration.
No, the public MCP server at https://mcp.tigerdata.com/docs requires no authentication and is freely accessible.
pg-aiguide provides semantic search over the official PostgreSQL manual (version-aware), TimescaleDB documentation, and PostGIS documentation, with pgvector coming soon.
README (reference)
Source of truth, from the repository.
pg-aiguide
AI-optimized PostgreSQL expertise for coding assistants
pg-aiguide helps AI coding tools write dramatically better PostgreSQL code. It provides:
- Semantic search across the official PostgreSQL manual (version-aware)
- AI-optimized “skills” — curated, opinionated Postgres best practices used automatically by AI agents
- Extension ecosystem docs, starting with TimescaleDB, with more coming soon
Use it as:
- Agent Skills via
npx skills— works with Claude Code, Cursor, Codex, Gemini CLI, and 40+ other agents - a public MCP server that can be used with any AI coding agent, or
- a Claude Code plugin optimized for use with Claude's native skill support.
⭐ Why pg-aiguide?
AI coding tools often generate Postgres code that is:
- outdated
- missing constraints and indexes
- unaware of modern PG features
- inconsistent with real-world best practices
pg-aiguide fixes that by giving AI agents deep, versioned PostgreSQL knowledge and proven patterns.
See the difference
https://github.com/user-attachments/assets/5a426381-09b5-4635-9050-f55422253a3d
<details> <summary>Video Transcript </summary>Prompt given to Claude Code:
Please describe the schema you would create for an e-commerce website two times, first with the tiger mcp server disabled, then with the tiger mcp server enabled. For each time, write the schema to its own file in the current working directory. Then compare the two files and let me know which approach generated the better schema, using both qualitative and quantitative reasons. For this example, only use standard Postgres.
Result (summarized):
- 4× more constraints
- 55% more indexes (including partial/expression indexes)
- PG17-recommended patterns
- Modern features (
GENERATED ALWAYS AS IDENTITY,NULLS NOT DISTINCT) - Cleaner naming & documentation
Conclusion: pg-aiguide produces more robust, performant, maintainable schemas.
</details>🚀 Quickstart
Agent Skills
Install curated PostgreSQL best-practice skills for your AI coding agent:
npx skills add timescale/pg-aiguide --skill postgres
Or pick individual skills interactively:
npx skills add timescale/pg-aiguide
Works with Claude Code, Cursor, Codex, Gemini CLI, VS Code, and 40+ other agents.
For even deeper PostgreSQL knowledge, also add the MCP server to give your agent semantic search over the official PostgreSQL, TimescaleDB, and PostGIS manuals.
MCP Server
For semantic search over PostgreSQL, TimescaleDB, and PostGIS documentation, add the public MCP server:
https://mcp.tigerdata.com/docs
<details> <summary>Manual MCP configuration using JSON</summary>{
"mcpServers": {
"pg-aiguide": {
"url": "https://mcp.tigerdata.com/docs"
}
}
}
</details>
Or it can be used as a Claude Code Plugin:
claude plugin marketplace add timescale/pg-aiguide
claude plugin install pg@aiguide
Install by environment
<details> <summary>Claude Code</summary>This repo serves as a claude code marketplace plugin. To install, run:
claude plugin marketplace add timescale/pg-aiguide
claude plugin install pg@aiguide
This plugin uses the skills available in the skills directory as well as our
publicly available MCP server endpoint hosted by TigerData for searching PostgreSQL documentation.
Run the following to add the MCP server to codex:
codex mcp add --url "https://mcp.tigerdata.com/docs" pg-aiguide
</details>
<details>
<summary> Cursor </summary>
One-click install:
Or add the following to .cursor/mcp.json
{
"mcpServers": {
"pg-aiguide": {
"url": "https://mcp.tigerdata.com/docs"
}
}
}
</details>
<details>
<summary> Gemini CLI </summary>
Run the following to add the MCP server to Gemini CLI:
gemini mcp add -s user pg-aiguide "https://mcp.tigerdata.com/docs" -t http
</details>
<details>
<summary> Visual Studio </summary>
Click the button to install:
</details> <details> <summary> VS Code </summary>Click the button to install:
Alternatively, run the following to add the MCP server to VS Code:
code --add-mcp '{"name":"pg-aiguide","type":"http","url":"https://mcp.tigerdata.com/docs"}'
</details>
<details>
<summary> VS Code Insiders </summary>
Click the button to install:
Alternatively, run the following to add the MCP server to VS Code Insiders:
code-insiders --add-mcp '{"name":"pg-aiguide","type":"http","url":"https://mcp.tigerdata.com/docs"}'
</details>
<details>
<summary> Windsurf </summary>
Add the following to ~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"pg-aiguide": {
"serverUrl": "https://mcp.tigerdata.com/docs"
}
}
}
</details>
💡 Your First Prompt
Once installed, pg-aiguide can answer Postgres questions or design schemas.
Simple schema example prompt
Create a Postgres table schema for storing usernames and unique email addresses.
Complex schema example prompt
You are a senior software engineer. You are given a task to generate a Postgres schema for an IoT device company. The devices collect environmental data on a factory floor. The data includes temperature, humidity, pressure, as the main data points as well as other measurements that vary from device to device. Each device has a unique id and a human-readable name. We want to record the time the data was collected as well. Analysis for recent data includes finding outliers and anomalies based on measurements, as well as analyzing the data of particular devices for ad-hoc analysis. Historical data analysis includes analyzing the history of data for one device or getting statistics for all devices over long periods of time.
Features
Documentation Search (MCP Tools)
search_docsUnified search tool supporting semantic (vector similarity) and keyword (BM25) search across multiple documentation sources:postgres- Official PostgreSQL manual, scoped by versiontiger- Tiger Data's documentation (TimescaleDB and ecosystem)postgis- PostGIS spatial extension documentation
Skills (AI-Optimized Best Practices)
-
view_skill
Exposes curated, opinionated PostgreSQL best-practice skills used automatically by AI coding assistants.These skills provide guidance on:
- Schema design
- Indexing strategies
- Data types
- Data integrity and constraints
- Naming conventions
- Performance tuning
- Modern PostgreSQL features
🔌 Ecosystem Documentation
Supported today:
- TimescaleDB (docs + skills)
- PostGIS (docs)
Coming soon:
- pgvector
We welcome contributions for additional extensions and tools.
🛠 Development
See DEVELOPMENT.md for:
- running the MCP server locally
- adding new skills
- adding new docs
🤝 Contributing
We welcome:
- new Postgres best-practice skills
- additional documentation corpora
- search quality improvements
- bug reports and feature ideas
📄 License
Apache 2.0
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