com.falkordb/QueryWeaver

MCPcommunity
v0.0.11com.falkordbUnknownUpdated 9mo agoGitHub

An MCP server for Text2SQL: transforms natural language into SQL using graph schema understanding.

QueryWeaver (Text2SQL) REST API · MCP · Graph-powered QueryWeaver is an open-source Text2SQL tool that converts plain-English questions into SQL using graph-powered schema understanding. It helps you ask databases natural-language questions and returns SQL and results. Connect and ask questions: []( 💡 Recommended for evaluation purposes (Local Python or Node are not required) Create a local by…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
9mo agoLast update
Package
Authorcom.falkordb
LicenseUnknown
Version0.0.11
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · not run+0/30
Not yet scanned — package must be on npm
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

QueryWeaver (Text2SQL) REST API · MCP · Graph-powered QueryWeaver is an open-source Text2SQL tool that converts plain-English questions into SQL using graph-powered schema understanding. It helps you ask databases natural-language questions and returns SQL and results. Connect and ask questions: []( 💡 Recommended for evaluation purposes (Local Python or Node are not required) Create a local by copying and passing it to Docker. This is the simplest way to provide all required configuration: If…

Keywords
mcp