Back to MCP Trust Indexm8ven
C
Emerging
74/100
2 days ago

AnalyticDB PostgreSQL MCP Server

Serves as a universal interface between AI Agents and AnalyticDB PostgreSQL databases, enabling metadata retrieval and SQL execution, with additional capabilities for knowledge graph and LLM memory management.

→ aliyun/alibabacloud-adbpg-mcp-server· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

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Who stands behind it

aliyun

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

Glama

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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 5 credentials: MCP_AUTH_TOKEN, ADBPG_PASSWORD, GRAPHRAG_API_KEY, GRAPHRAG_EMBEDDING_API_KEY, LLMEMORY_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
🔐 secretMCP_AUTH_TOKEN"": "your-secret-token",
configADBPG_HOST"": "host",
configADBPG_PORT"": "port",
configADBPG_USER"": "username",
🔐 secretADBPG_PASSWORD"": "password",
configADBPG_DATABASE"": "database",
configGRAPHRAG_LLM_MODEL"": "graphrag llm model name",
🔐 secretGRAPHRAG_API_KEY"": "graphrag llm api key",
configGRAPHRAG_BASE_URL"": "graphrag llm base url",
configGRAPHRAG_EMBEDDING_MODEL"": "graphrag embedding model name",
🔐 secretGRAPHRAG_EMBEDDING_API_KEY"": "graphrag embedding api key",
configGRAPHRAG_EMBEDDING_BASE_URL"": "graphrag embedding url",
configGRAPHRAG_LANGUAGE
configGRAPHRAG_ENTITY_TYPES
configGRAPHRAG_RELATIONSHIP_TYPES
configLLMEMORY_LLM_MODEL"": "llm memory model name",
🔐 secretLLMEMORY_API_KEY"": "llm memory api_key",
configLLMEMORY_BASE_URL"": "llm memory base_url",
configLLMEMORY_EMBEDDING_MODEL"": "llm memory embedding model name",
configLLMEMORY_EMBEDDING_DIMS
configLLMEMORY_ENABLE_GRAPH"": "enable graph engine for llm memory (Default: false)"
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

15/15 tools missing one or more hints — execute_select_sql (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); execute_dml_sql (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); execute_ddl_sql (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +12 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/aliyun-alibabacloud-adbpg-mcp-server-q6vf25)](https://m8ven.ai/mcp/aliyun-alibabacloud-adbpg-mcp-server-q6vf25)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 2caaf51f2b28b299daf4f30886605ab149eea0bc
code hash: 54cd3486ab3ac27862b39ddf001acce88603704e8e7d3767536d72d90f6294cb
verified: 8/19/2026, 7:12:52 AM
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