pg-metadata-mcp-server
Provides an MCP (Model Context Protocol) server for accessing/inspecting pg-metadata (PostgreSQL metadata). It is intended to let AI agents query database metadata via MCP tools rather than direct DB connections.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Without provided implementation details, TLS/auth/secret handling cannot be confirmed. MCP servers that connect to Postgres typically require careful handling of DB credentials and principle-of-least-privilege DB roles; ensure the tool does not expose sensitive metadata beyond necessity.
⚡ Reliability
Best When
You want an LLM/agent workflow to fetch Postgres metadata on-demand through MCP tool calls.
Avoid When
You require strong guarantees about rate limits, auth, and structured error contracts that are not documented by the package.
Use Cases
- • AI agents that need to understand database schema/relations (tables, columns, types)
- • Generating SQL or migration plans using up-to-date Postgres metadata
- • Building admin/debug tooling for Postgres environments via agent-driven metadata lookup
Not For
- • Writing/committing database changes (DDL/DML) unless explicitly provided as separate tools
- • Handling production traffic workloads with strict uptime/SLA requirements (unless documented)
- • Environments where outbound network access to the MCP server is not allowed
Interface
Authentication
No auth details were provided in the supplied information, so auth method and scope granularity cannot be confirmed.
Pricing
Agent Metadata
Known Gotchas
- ⚠ MCP tool behaviors (timeouts, pagination, and error formats) may be undocumented or inconsistent across implementations
- ⚠ Agents may assume DB schema completeness; metadata can be stale depending on connection/role/permissions
- ⚠ Metadata queries can be slow on large catalogs without caching/limits
Alternatives
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Scores are editorial opinions as of 2026-04-04.