SQLite Explorer
This SQLite MCP server, developed by mekanixms, provides a flexible interface for AI models to interact with SQLite databases. Built using Python and leveraging libraries like pandas and sqlite3, it offers tools for schema exploration, data querying, updates, and statistical analysis. The implementation focuses on security through input validation and error handling, while providing a user-friendly configuration for integration with Claude Desktop. It's particularly useful for AI-assisted database management, data analysis, and rapid prototyping scenarios where SQLite's lightweight nature is advantageous. The server's ability to handle both read and write operations, coupled with its statistical analysis capabilities, makes it a versatile tool for AI models working with structured data.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/mekanixms/sqlite-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve SQLite Explorer 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.