The full sqbyl dev toolkit: introspect, profile, annotate, synth, eval, Coach, judges, console, optimizer, release builder.
Sqbyl MCP server exists for a simple reason — assistants are far more useful when they can act on Sqbyl directly instead of describing what you should do. The full sqbyl dev toolkit: introspect, profile, annotate, synth, eval, Coach, judges, console, optimizer, release builder.
Bring your own database and one LLM provider key (Anthropic or OpenAI). sqbyl uses your chosen model to both answer natural-language questions against your data and coach you on how to make the agent answer them better — then ships the result as a single portable file you can drop into production.
Installation goes through your MCP client rather than a global install: point it at sqbyl on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
You will need 3 environment variables: ANTHROPIC_API_KEY, DATABASE_URL, OPENAI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
uv) - An LLM provider API key — Anthropic (ANTHROPIC_API_KEY) or OpenAI (OPENAI_API_KEY) - A SQL database, reachable read-only (DATABASE_URL). DuckDB and Postgres are the first-class dialects; SQLite, MySQL, Snowflake, and BigQuery are supported behind a dialect seam. ---Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by Jack Werner; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"sqbyl": {
"command": "uvx",
"args": ["sqbyl"],
"env": {
"ANTHROPIC_API_KEY": "your-value",
"DATABASE_URL": "your-value",
"OPENAI_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
uv) - An LLM provider API key — Anthropic (ANTHROPIC_API_KEY) or OpenAI (OPENAI_API_KEY) - A SQL database, reachable read-only (DATABASE_URL). DuckDB and Postgres are the first-class dialects; SQLite, MySQL, Snowflake, and BigQuery are supported behind a dialect seam. ---| Variable | Description | Required |
|---|---|---|
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| DATABASE_URL | Endpoint or connection string the server talks to. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.