{"id":"pyodbc-mcp-server","name":"pyodbc-mcp-server","homepage":"https://pypi.org/project/pyodbc-mcp-server/","repo_url":"https://github.com/jjones-wps/pyodbc-mcp-server","category":"databases","subcategories":[],"tags":["mcp","model-context-protocol","sql-server","mssql","pyodbc","windows-authentication","database","read-only","claude"],"what_it_does":"An MCP (Model Context Protocol) server that exposes a set of read-only tools for exploring and querying Microsoft SQL Server databases. It connects using Windows Authentication (Trusted Connection) via pyodbc and applies security controls intended to restrict operations to SELECT-only queries, with configurable timeouts and row-limiting.","use_cases":["Schema exploration for SQL Server (tables, views, indexes, constraints, relationships, triggers, stored procedures/functions)","Safe read-only data retrieval for AI-assisted analysis via MCP tools/resources","Ad-hoc reporting queries limited to a maximum number of rows","Discovery of foreign key relationships to support data lineage/documentation tasks"],"not_for":["Read-write database operations (INSERT/UPDATE/DELETE/DDL are not intended to be allowed)","Handling SQL authentication via usernames/passwords (it is Windows Auth focused)","Production systems requiring strict contractual SLAs or verified uptime metrics from the project docs (not provided in the provided content)"],"best_when":"You need an MCP-compatible read-only SQL Server data interface in a Windows domain environment where the executing identity already has least-privilege SELECT permissions.","avoid_when":"You do not have Windows domain/Trusted Connection connectivity, or you require comprehensive multi-tenant auth, auditing, or a network-facing API with explicit rate-limiting controls documented by the service.","alternatives":["Other MCP DB tools/connectors that support SQL read-only with more explicit query safety guarantees","Building a custom MCP server around a parameterized query layer with stricter SQL parsing/whitelisting","Using a database proxy/ETL layer that exposes read-only datasets rather than executing arbitrary SELECT text"],"af_score":67.8,"security_score":79.2,"reliability_score":45.0,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:47:12.277027+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":["Windows Authentication via pyodbc Trusted_Connection (no username/password storage)"],"oauth":false,"scopes":false,"notes":"Authentication is delegated to the Windows account/domain identity used by the process; database permissions (least privilege) are enforced by SQL Server."},"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 is provided in the supplied README; repository metadata indicates MIT license."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":67.8,"security_score":79.2,"reliability_score":45.0,"mcp_server_quality":85.0,"documentation_accuracy":75.0,"error_message_quality":null,"error_message_notes":null,"auth_complexity":85.0,"rate_limit_clarity":10.0,"tls_enforcement":90.0,"auth_strength":85.0,"scope_granularity":60.0,"dependency_hygiene":60.0,"secret_handling":95.0,"security_notes":"Strengths: intended read-only enforcement; dangerous SQL keywords blocked; row limiting to reduce data exfiltration risk; uses Trusted_Connection (no credentials stored/transmitted per provided docs). Uncertainties: the exact SQL parsing/validation approach is not shown; keyword blocking may not cover all SQL injection/syntax edge cases without robust parsing; TLS enforcement for the DB connection is not explicitly documented in the provided content (score assumes typical pyodbc over encrypted connections but cannot confirm).","uptime_documented":0.0,"version_stability":65.0,"breaking_changes_history":40.0,"error_recovery":75.0,"idempotency_support":"true","idempotency_notes":"All exposed operations are read-only SELECT/schema inspection; repeated calls should be idempotent assuming underlying data is unchanged.","pagination_style":"row limiting via configurable maximum rows per query (no explicit cursor-based pagination described)","retry_guidance_documented":true,"known_agent_gotchas":["This server is Windows-Authentication/Trusted Connection oriented; running outside the intended Windows/domain environment will fail.","Query safety relies on blocking dangerous keywords and SELECT-only enforcement; agents should still prefer tool parameters and avoid attempting unsupported SQL constructs.","Large queries may be truncated by row limits; agents should ask for smaller limits or targeted filters.","No explicit rate-limit headers/rate limiting documentation was provided; agents should avoid aggressive polling if the underlying environment throttles connections."]}}