pgvector-azure-openai-mcp-server@1.0.4
VERIFIED· not startedPublisher claims: "An MCP server with RAG capabilities using Azure OpenAI embeddings and pgvector for PostgreSQL." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Not started: dependency install failed; the server itself was not observed.- Tested
- the dependency install step · every file read, file written and host contacted by what ran
- Not tested
- server startup · the tool list · tool behavior
What this means for the label: Verified here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.
Before you give it your token
- It will ask for
AZURE_OPENAI_API_KEYDATABASE_URLConfiguration, not credentials: AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_MODEL- Where it talks to
- no vendor host named in the code
- What the honeypot saw
- no credential files read · no network
- What we could not test
- server startup · the tool list · tool behavior
Connect it with a scoped credential, under the guard. It asks for AZURE_OPENAI_API_KEY, DATABASE_URL and talks to its vendor. Give the credential to the guard, not the server: the value never enters the server's environment and only travels to the host you bind. What the tools do with a real credential was not observed.
Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; not started: dependency install failed; the server itself was not observed) on 2026-11-14 and scored it 86/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 2 scenarios · 0 deviationsStatic findings
binary_content = b"\xff\xfe\x48\x00\x65\x00\x6c\x00\x6c\x00\x6f\x00" # UTF-16 LEFix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.binary_content = b"\x00\x01\x02\x03\xff\xfe\xfd"Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.result = subprocess.run(cmd, cwd=Path(__file__).parent.parent)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.run: curl -LsSf https://astral.sh/uv/install.sh | shFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.run: curl -LsSf https://astral.sh/uv/install.sh | shFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.
Known vulnerabilities
No advisories in OSV for pgvector-azure-openai-mcp-server@1.0.4 as of 2 h ago. This is the package itself, not its dependencies.