{"id":"polardb-postgresql-mcp-server","name":"polardb-postgresql-mcp-server","homepage":"https://pypi.org/project/polardb-postgresql-mcp-server/","repo_url":null,"category":"databases","subcategories":[],"tags":["mcp","database","postgresql","polarDB","agent-tools","data-access","sql"],"what_it_does":"Provides an MCP (Model Context Protocol) server that exposes PolarDB for PostgreSQL database capabilities to AI agents via MCP tools, enabling programmatic querying/operations while abstracting underlying PostgreSQL connectivity.","use_cases":["Let an AI agent inspect or query a PolarDB PostgreSQL database using MCP tool calls","Build agent workflows that translate natural language requests into SQL and execute against PolarDB","Create RAG/data access experiences backed by a PostgreSQL-compatible PolarDB instance"],"not_for":["High-stakes production database administration without additional safeguards (e.g., allowlists, read-only mode, query validation)","Direct public Internet exposure of DB access paths without strong network/auth controls","Workloads requiring complex database administration features beyond what the MCP server exposes"],"best_when":"You want agent-driven read/query access to a PolarDB PostgreSQL database and are deploying in a controlled environment where DB credentials and query permissions can be tightly managed.","avoid_when":"You cannot restrict permissions (e.g., read-only credentials), cannot validate/limit SQL, or need strong guarantees against data exfiltration/destructive operations.","alternatives":["Direct PostgreSQL access via your own agent tooling (pg driver + your own guardrails)","A dedicated read-only SQL gateway for agents","Other DB MCP servers or frameworks that include query allowlists and output filtering"],"af_score":45.0,"security_score":48.0,"reliability_score":10.0,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:48:14.551088+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Database credentials (implied for connecting to PolarDB/PostgreSQL)"],"oauth":false,"scopes":false,"notes":"No explicit OAuth/scopes described in the provided content. Authentication appears to be handled via DB connection settings/credentials for the MCP server’s backend connection."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":null},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":45.0,"security_score":48.0,"reliability_score":10.0,"mcp_server_quality":55.0,"documentation_accuracy":45.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":30.0,"tls_enforcement":60.0,"auth_strength":50.0,"scope_granularity":30.0,"dependency_hygiene":50.0,"secret_handling":50.0,"security_notes":"Security posture depends heavily on how the MCP server is deployed and what DB user it uses. Without explicit documentation here, assume credentials are provided to connect to the DB; enforce TLS for DB transport and use least-privilege/read-only credentials. Additional app-layer controls (query allowlists, statement type restrictions, output redaction) are recommended to reduce data exfiltration and destructive-query risks.","uptime_documented":0.0,"version_stability":0.0,"breaking_changes_history":0.0,"error_recovery":40.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Ensure agent permissions are constrained (prefer read-only DB credentials) because agent-generated SQL can be destructive if unrestricted.","Validate/allowlist operations if the MCP tools permit arbitrary SQL execution.","Be cautious with large result sets (may require explicit LIMIT/pagination handling at the agent layer)."]}}