
Wgong Sqlite Mcp Server
Let your agent list tables, run queries, and inspect SQLite schemas while you build local apps, prototypes, and debug data issues.
Overview
ai.smithery/wgong-sqlite-mcp-server is a MCP server for the Build phase that lets agents explore, query, and inspect SQLite databases through Smithery.
What is this MCP server?
- List tables, preview query results, and inspect database details
- SQLite-focused explorer packaged for Smithery remotes (v1.16.0)
- FastMCP-based subfolder sqlite-explorer-fastmcp-mcp-server in GitHub repo
- Streamable-http remote on server.smithery.ai with Bearer auth
- Speeds agent-driven debugging without a separate GUI client
- Smithery catalog version 1.16.0
- GitHub repo wgong/sqlite-mcp-server with subfolder sqlite-explorer-fastmcp-mcp-server
- Remote URL server.smithery.ai/@wgong/sqlite-mcp-server/mcp
Community signal: 1 GitHub stars.
What problem does it solve?
You lose momentum copying SQL into chat and screenshots when your agent could inspect the actual SQLite schema and sample rows directly.
Who is it for?
Indie developers using SQLite in prototypes, CLI tools, or embedded SaaS data layers who want safe agent-assisted SQL exploration.
Skip if: Production Postgres or warehouse teams that need role-based governance, connection pooling, and enterprise audit trails out of the box.
What do I get? / Deliverables
After registration, your agent can list tables, run previews, and read database metadata so backend and migration work stays in the editor.
- Table listings and schema detail accessible to the agent
- Previewed query results for validation during development
- Faster iteration on migrations and data bugs without manual GUI steps
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Journey fit
Canonical placement is Build backend because SQLite is the embedded database layer most indie products touch during implementation. Backend covers schema exploration and ad hoc SQL your agent executes against local or attached SQLite files.
How it compares
SQLite inspection MCP, not an ORM codegen skill or a hosted cloud database console.
Common Questions / FAQ
Who is ai.smithery/wgong-sqlite-mcp-server for?
Solo builders and agent users who rely on SQLite locally and want MCP tools to explore schemas and run queries during development.
When should I use ai.smithery/wgong-sqlite-mcp-server?
Use it while implementing or debugging SQLite-backed features, migrations, and test databases in your codebase.
How do I add ai.smithery/wgong-sqlite-mcp-server to my agent?
Configure https://server.smithery.ai/@wgong/sqlite-mcp-server/mcp with Authorization Bearer {smithery_api_key} in Claude Code, Cursor, or your MCP client, or run the GitHub project locally if you need on-machine file access.