{"id":"sqlserver-mcp-server","name":"sqlserver-mcp-server","homepage":"https://pypi.org/project/sqlserver-mcp-server/","repo_url":"https://github.com/your-org/sqlserver-mcp-server.git","category":"infrastructure","subcategories":[],"tags":["mcp","sql-server","database","agent-tools","data-access"],"what_it_does":"Provides an MCP (Model Context Protocol) server that connects an AI agent to Microsoft SQL Server, enabling agent-driven database interactions (e.g., querying/inspecting SQL Server) via MCP tools.","use_cases":["Letting LLM/agents run read-only SQL queries against SQL Server with tool calls","Assisting in SQL development by executing explain/planning-style queries","Automating investigation tasks (e.g., finding records, aggregations) on SQL Server","Building agent workflows that require access to business data in SQL Server"],"not_for":["Performing unsafe write operations or schema changes without strict guardrails","Untrusted users executing arbitrary SQL (risk of data exfiltration)","High-assurance production environments without strong auth, auditing, and query restrictions"],"best_when":"You have a controlled environment (trusted agent, least-privilege DB credentials, network access controls) and want standardized agent tool integration via MCP.","avoid_when":"You cannot enforce least-privilege database permissions, or you need a public-facing service where the MCP tools could be abused to exfiltrate data.","alternatives":["Use a SQL agent framework with explicit allowlisted queries","Expose a REST API around specific SQL operations instead of direct SQL execution","Use database-native features (views/stored procedures) and an MCP tool that calls only those procedures"],"af_score":44.0,"security_score":44.8,"reliability_score":7.5,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:43:51.862967+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":[],"oauth":false,"scopes":false,"notes":"Authentication to SQL Server is typically handled via DB credentials provided to the MCP server (e.g., username/password or similar), but specific auth mechanisms, modes, and guidance are not available from the provided input."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information provided; MCP server is likely self-hosted."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":44.0,"security_score":44.8,"reliability_score":7.5,"mcp_server_quality":65.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":45.0,"rate_limit_clarity":20.0,"tls_enforcement":50.0,"auth_strength":55.0,"scope_granularity":30.0,"dependency_hygiene":40.0,"secret_handling":45.0,"security_notes":"Security depends heavily on how the MCP server is implemented and how you configure it. The biggest risks for an SQL MCP server are: allowing arbitrary SQL (exfiltration/destructive actions), insufficient DB least-privilege, lack of query auditing/limits, and potential secret leakage if credentials are mishandled. No concrete implementation details were provided to confirm safeguards.","uptime_documented":0.0,"version_stability":0.0,"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":["Agents may generate unsafe SQL (data exfiltration or destructive statements) unless the MCP server enforces read-only mode or strict query allowlisting.","If the MCP tool executes arbitrary SQL, the agent may produce large/slow queries; ensure query limits/timeouts are enforced.","Schema/permission mismatches can cause repeated failures; ensure the DB user has only the necessary privileges.","Without explicit guidance on SQL dialect/parameterization, agents may produce invalid queries for your SQL Server configuration."]}}