{"id":"sql-mcp-server","name":"sql-mcp-server","homepage":"https://pypi.org/project/sql-mcp-server/","repo_url":null,"category":"devtools","subcategories":[],"tags":["mcp","sql","database","agent-tools","devtools","backend"],"what_it_does":"sql-mcp-server is an MCP (Model Context Protocol) server that exposes SQL/database-related capabilities to AI agents via MCP tools. It is intended to let an agent discover available SQL operations and execute queries/commands against a configured database (exact capabilities depend on its tool definitions).","use_cases":["Agent-assisted database querying and exploration","Natural-language to SQL workflows (where supported by the server/client)","Automated reporting from relational databases","Operational dashboards or analysts using agents to run parameterized queries","Building agent workflows that need read access to structured data"],"not_for":["Highly sensitive production databases without strong auth/least-privilege controls","Use cases requiring strict data residency/compliance guarantees (not evidenced here)","Untrusted multi-tenant environments without careful query safety controls","Workloads that require guaranteed idempotency semantics for writes"],"best_when":"You want agents to interact with relational data through a standardized MCP interface, and you can configure the server with appropriate database permissions and safety controls.","avoid_when":"You cannot control what queries the agent can run (e.g., overly permissive DB credentials) or you need strong guarantees about security/error handling behavior not described by available materials.","alternatives":["Direct database connectivity via an agent framework (e.g., using SQL tool wrappers)","GraphQL APIs in front of the database for constrained data access","Dedicated analytics/query services (e.g., BigQuery/Athena APIs) with governed permissions","Custom REST API endpoints that implement safe, parameterized queries","Other MCP servers tailored to specific databases or query-readonly access"],"af_score":37.5,"security_score":42.8,"reliability_score":18.8,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:43:56.549470+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":["MCP server authentication (if supported by configuration)","Database credentials to access the underlying SQL database"],"oauth":false,"scopes":false,"notes":"From the provided information, exact auth mechanism (API keys/OAuth) and scope model are not verifiable. MCP servers commonly rely on transport/integration config and/or database credentials; least-privilege DB credentials are critical."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Pricing not evidenced (likely self-hosted/open-source)."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":37.5,"security_score":42.8,"reliability_score":18.8,"mcp_server_quality":55.0,"documentation_accuracy":40.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":45.0,"rate_limit_clarity":0.0,"tls_enforcement":60.0,"auth_strength":45.0,"scope_granularity":20.0,"dependency_hygiene":50.0,"secret_handling":40.0,"security_notes":"Security posture depends heavily on how the MCP server is deployed and how database credentials are provided. Major risks for agent-driven SQL include prompt-injected/unsafe queries and overly permissive database permissions. No evidence was provided about TLS enforcement, secret handling practices, parameterization, or query allowlisting.","uptime_documented":0.0,"version_stability":45.0,"breaking_changes_history":0.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["SQL execution tools are prone to prompt injection if query inputs are not constrained/validated","Agents may attempt writes (INSERT/UPDATE/DELETE) unless the server enforces read-only policies","Large result sets can overwhelm context limits if the tool doesn’t paginate/limit rows","If query parameters are not strongly typed/parameterized, risk of SQL injection increases"]}}