Custom Database
This MCP server provides AI assistants with secure database access across PostgreSQL, MySQL, MongoDB, and Oracle databases without exposing credentials directly to the AI agents. Built using Python with FastMCP and database-specific connectors, it stores connection configurations in a local SQLite database and offers tools for managing database connections (add, remove, list) and executing queries with parameterized inputs. The implementation includes command-line configuration management, supports schema specification for Oracle databases, and handles MongoDB queries through JSON filter syntax, making it valuable for data analysis workflows, business intelligence tasks, and building AI assistants that need programmatic database access without manual credential management or direct database exposure.
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/renanlido/custom-mcp-database
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Custom 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.