Database (nam088) MCP Server
@nam088/mcp-database-server
npm
v1.0.10
Published by @nam088 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
MCP server for multiple database operations (PostgreSQL, MySQL, SQLite, Redis, MongoDB, LDAP)
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
Tools 52
Each tool and what it can reach — statically extracted from the published source.
execute_sqlreads sensitive dataexplain_queryreads sensitive dataqueryreads sensitive datadescribe_tableno sensitive capabilitydescribe_viewno sensitive capabilityget_foreign_keysno sensitive capabilityget_indexesno sensitive capabilityget_table_sizeno sensitive capabilityget_table_statsno sensitive capabilityldap_addno sensitive capability
Show 42 more tools ↓
ldap_authenticateno sensitive capabilityldap_compareno sensitive capabilityldap_deleteno sensitive capabilityldap_list_foldersno sensitive capabilityldap_modifyno sensitive capabilityldap_searchno sensitive capabilityldap_search_folder_structureno sensitive capabilitylist_schemasno sensitive capabilitylist_tablesno sensitive capabilitylist_viewsno sensitive capabilitymongo_aggregateno sensitive capabilitymongo_countno sensitive capabilitymongo_create_indexno sensitive capabilitymongo_delete_manyno sensitive capabilitymongo_delete_oneno sensitive capabilitymongo_findno sensitive capabilitymongo_find_oneno sensitive capabilitymongo_get_collection_statsno sensitive capabilitymongo_get_database_statsno sensitive capabilitymongo_get_indexesno sensitive capabilitymongo_insert_manyno sensitive capabilitymongo_insert_oneno sensitive capabilitymongo_list_collectionsno sensitive capabilitymongo_update_manyno sensitive capabilitymongo_update_oneno sensitive capabilityredis_dbsizeno sensitive capabilityredis_delno sensitive capabilityredis_existsno sensitive capabilityredis_expireno sensitive capabilityredis_getno sensitive capabilityredis_hgetno sensitive capabilityredis_hgetallno sensitive capabilityredis_hsetno sensitive capabilityredis_infono sensitive capabilityredis_keysno sensitive capabilityredis_lrangeno sensitive capabilityredis_setno sensitive capabilityredis_smembersno sensitive capabilityredis_ttlno sensitive capabilityredis_typeno sensitive capabilityredis_zrangeno sensitive capabilitysearch_tablesno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (52 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.0.10 latest |
A 96/100 | 0 | 1.13.0 | 2026-09-07 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan @nam088/mcp-database-server --onlineOther implementations of Database 14
Independent packages implementing the same tool, scanned with the same engine. Compare all 15 side by side →
Node.js server for runtime database connections supporting multiple database types.
Model Context Protocol server for multi-database access (PostgreSQL, MySQL, SQLite, Snowflake) with comprehensive introspection and analysis tools
MCP server for multi-database access — SQLite, PostgreSQL, MySQL. Query, inspect schema, and manage databases through Claude.
Database MCP Server for SQL operations
MCP server for database connectivity. Multi-DB (PostgreSQL, MySQL, SQLite), connection management, schema introspection, query execution with token-optimized responses, rollback, history, elicitation for destructive ops, and prepared statements. Zero conf
Multi-database query execution with support for SQLite, PostgreSQL, and MySQL.
More in Databases
Security scan results for the A5sql MCP server.
Expose AgentsKit tools as an MCP server — use them from Claude Desktop, Cursor, Windsurf, or any MCP host.
MCP server for Aiven cloud data platform - manage PostgreSQL, Kafka, and other services
MCP Server for All-Inkl.com hosting via KAS API
Structured aquarium, marine, terrarium and paludarium data for AI agents.
MCP server that gives your AI agent real vehicle data — specs, representative images, federal recalls, owner complaints, service bulletins, defect investigations, and OBD-II DTC reference — from the CarVector API.