SQLite Database
SQLite MCP Server provides a secure interface for AI models to query SQLite databases through the Model Context Protocol. Built with TypeScript, it offers a read_query tool that allows executing SELECT queries on SQLite databases with input validation to prevent SQL injection. The server runs as a Docker container or locally via stdio transport, making it ideal for workflows requiring database access without leaving the conversation interface. The implementation is particularly valuable for analyzing data in SQLite databases directly within AI assistant conversations.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/santos-404/mcp-server.sqlite
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve SQLite Database from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.