Safely query PostgreSQL databases to inspect schemas, tables, and data.
Overall this is an official-registry, open-source PostgreSQL MCP tool with recent updates, so supply-chain trust is relatively good. The main risks are credential handling and local code execution capability, but there is no sign of unknown egress or clear red flags, so overall it is cautionary rather than high risk.
It requires database connection secrets/parameters (MCP_KEY_HOST, PORT, NAME, USER, PASS, SSLMODE), which are sensitive; if exposed, they could enable unauthorized database access or misuse.
No remote endpoint is stated, and it is described as a local database connection wrapper; there is no evidence of sending user data to unknown third parties.
The system check marks executes-code, meaning the tool can run local processes/code or use local system capabilities; this is common for MCP tools, but least privilege and isolation should be considered.
The tool targets PostgreSQL data access and is described as having tool selection with safe read-only defaults; however, if write access or a high-privilege DB account is granted, it could still read or modify business data.
It comes from the official Registry with an open-source repository and recent maintenance, which improves supply-chain trust; however, the license is unspecified and the repo has 0 stars, so auditability and adoption evidence are limited.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Postgres MCP" MCP server from askskill: Run: claude mcp add 'io-github-edelciomolina-postgres-mcp' -- npx -y @edelciomolina/postgres-mcp
Query PostgreSQL securely in read-only mode using natural language.
Query PostgreSQL databases safely in natural language with read-only access.
Safely query read-only PostgreSQL data and inspect schemas, tables, and columns.
Safely inspect and query PostgreSQL databases using natural language.
Safely let AI query and analyze Postgres data in read-only mode.
Safely explore PostgreSQL schemas and run controlled read or write queries.