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SQAI MCP server — four governed, deterministic, read-only data tools. Free login to execute.
About
SQAI MCP server — four governed, deterministic, read-only data tools. Free login to execute.
Security Report
Valid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
9 files analyzed · 1 issue found
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Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: SQAI_API_KEY
Environment variable: SQAI_DEPLOYMENT_URL
Environment variable: SQAI_SOURCES
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-thyn-ai-sqai": {
"env": {
"SQAI_API_KEY": "your-sqai-api-key-here",
"SQAI_SOURCES": "your-sqai-sources-here",
"SQAI_DEPLOYMENT_URL": "your-sqai-deployment-url-here"
},
"args": [
"-y",
"@thyn-ai/sqai-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
SQAI — Structured Query AI
SQAI is the deterministic, read-only structured-data tool for AI agents, with governed execution and replayable provenance.
Apache-2.0 · TypeScript + Python · built on Algenta as the underlying substrate · a Thyn product
The model proposes meaning. SQAI controls execution: typed intent in, policy-checked deterministic execution, replayable results with full provenance out. No raw SQL, no eval, no write path.
Architecture
| Layer | Package | What it is |
|---|---|---|
| AI SDK tools | @thyn-ai/sqai-ai-sdk (npm) | Three Vercel AI SDK 7 tools — listSources, queryData, explainQuery |
| Product SDK | @thyn-ai/sqai (npm) | SQAI query plane + full computation plane |
| Product SDK | sqai (PyPI) | Same SQAI surface, 1:1 vocabulary |
| CLI | @thyn-ai/sqai-cli (npm, bin sqai) | sqai doctor --parity, sqai runtime install/verify/status/stop |
| Capability contract | Embedded SQAI contract | The generated, hash-pinned inventory of every capability SQAI exposes |
| Execution substrate | Algenta (exact-pinned) | Underlying deterministic execution substrate and managed signed runtime bundle |
Quickstart (AI SDK)
import { generateText } from "ai";
import { createSQAI } from "@thyn-ai/sqai-ai-sdk";
const sqai = createSQAI({ sources: [{ data: "./data/sales.csv", name: "sales" }] });
const { text } = await generateText({
model: "openai/gpt-5-mini",
tools: sqai.tools(),
prompt: "Which region had the highest total revenue?",
});
No server. No daemon for the query plane. The computation plane provisions a signed managed runtime transparently on first use.
MCP server
The same four governed tools are available to any MCP host (Claude Desktop, Cursor, …) as a stdio server — descriptions, Zod schemas, and execute functions are read straight off the AI-SDK tool objects, never forked:
npx @thyn-ai/sqai-mcp
{
"mcpServers": {
"sqai": {
"command": "npx",
"args": ["-y", "@thyn-ai/sqai-mcp"],
"env": {
"SQAI_SOURCES": "[{\"data\": \"./data/sales.csv\", \"name\": \"sales\"}]"
}
}
}
}
Introspection (initialize / tools/list) needs no credentials — zero
environment is a valid configuration. Executing any of the four tools requires
a free community login (sqai login once / device registration, or
SQAI_API_KEY) — fully offline thereafter; without it every tools/call returns
a structured login_required error. SQAI_DEPLOYMENT_URL keeps its usual
semantics from @thyn-ai/sqai.
| Tool | What it does |
|---|---|
listSources | Discovery: sources with exact field names, types, and allowed operations; computation-catalog search; per-module signatures. |
queryData | One deterministic, read-only query or computation; truncated results stay retrievable via result_id. |
explainQuery | Dry-run: resolved plan, plan_hash, validation — or a computation-signature check with a preview invocation_hash. |
All three are annotated readOnlyHint: true, destructiveHint: false,
idempotentHint: true, openWorldHint: false. All three execute under the one
uniform license gate: free on 1 machine with a one-time device registration
(sqai login) — licensing moves a signed token, never your data; without it,
every tool call — local CSV reads included — returns a structured
login_required error by design.
What works today
- Query plane (connect / resolve / query / verify / ask) — in-process, both languages
- Full SQAI computation plane behind capability-contract validation
- Policy allow-lists (sources, fields, functions) the model can never override
- Cross-language conformance: identical values,
plan_hash,intent_signature - Model-context truncation with opaque result handles
Repository layout
contracts/ generated capability contract + tested version pair
packages/sdk/ @thyn-ai/sqai (TypeScript product SDK)
packages/ai-sdk/ @thyn-ai/sqai-ai-sdk (Vercel AI SDK tools)
packages/cli/ sqai CLI (doctor, runtime verbs)
packages/mcp/ @thyn-ai/sqai-mcp (MCP stdio server)
packages/python-sdk/ sqai (PyPI)
examples/ runnable examples (AI SDK registry example)
scripts/ contract sync + parity gate
docs/ GitBook (docs.sqai.com)
Key documents
| Doc | Purpose |
|---|---|
| docs/quickstart-ts.md | TypeScript quickstart |
| docs/quickstart-python.md | Python quickstart |
| docs/ai-sdk-tools.md | Tool schemas and truncation contract |
| docs/determinism.md | Hashes, envelopes, "deterministic within the declared execution scope" |
| docs/licensing.md | Free developer tier, entitlements, runtime bundle trust |
| SECURITY.md | Security policy |
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