Adbpg MCP Server
adbpg-mcp-server
PyPI
v2.0.3
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
AnalyticDB PostgreSQL MCP Server serves as a universal interface between AI Agents and AnalyticDB PostgreSQL databases. It enables seamless communication between AI Agents and AnalyticDB PostgreSQL, helping AI Agents retrieve database metadata and execute SQL operations.
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 − 2 = 98. 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 |
|---|---|
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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 22
Each tool and what it can reach — statically extracted from the published source.
adbpg_graphrag_append_decision_treeno sensitive capabilityadbpg_graphrag_delete_decision_treeno sensitive capabilityadbpg_graphrag_queryno sensitive capabilityadbpg_graphrag_reset_tree_queryno sensitive capabilityadbpg_graphrag_uploadno sensitive capabilityadbpg_graphrag_upload_decision_treeno sensitive capabilityadbpg_llm_memory_addno sensitive capabilityadbpg_llm_memory_deleteno sensitive capabilityadbpg_llm_memory_delete_allno sensitive capabilityadbpg_llm_memory_delete_all_historyno sensitive capability
Show 12 more tools ↓
adbpg_llm_memory_delete_historyno sensitive capabilityadbpg_llm_memory_get_allno sensitive capabilityadbpg_llm_memory_get_custom_categoryno sensitive capabilityadbpg_llm_memory_get_historyno sensitive capabilityadbpg_llm_memory_searchno sensitive capabilityadbpg_llm_memory_set_custom_categoryno sensitive capabilityadbpg_llm_memory_updateno sensitive capabilityanalyze_tableno sensitive capabilityexecute_ddl_sqlno sensitive capabilityexecute_dml_sqlno sensitive capabilityexecute_select_sqlno sensitive capabilityexplain_queryno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (22 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 |
|---|---|---|---|---|
v2.0.3 latest |
A 98/100 | 0 | 1.13.0 | 2026-08-25 |
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 adbpg-mcp-server --online --registry pypiMore in Databases
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