Legion Database
Database MCP Server, developed by Legion AI, enables AI assistants to access and query data across multiple database types (PostgreSQL, MySQL, SQL Server, BigQuery, etc.) through a standardized interface. Built with Python using the Legion Query Runner library, it exposes database operations as MCP tools and resources, allowing natural language interactions with databases for executing queries, retrieving schemas, and optimizing SQL statements. The implementation features flexible configuration options and maintains query history for context, making it particularly valuable for data analysis, business intelligence, and database exploration use cases where AI assistants need direct, controlled access to 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 2026-09-28.
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/theralabs/legion-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Legion 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.