pyodbc-mcp-server

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.

Evaluated Apr 04, 2026 (27d ago)
Homepage ↗ Repo ↗ Databases mcp model-context-protocol sql-server mssql pyodbc windows-authentication database read-only claude
⚙ Agent Friendliness
68
/ 100
Can an agent use this?
🔒 Security
79
/ 100
Is it safe for agents?
⚡ Reliability
45
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
85
Documentation
75
Error Messages
--
Auth Simplicity
85
Rate Limits
10

🔒 Security

TLS Enforcement
90
Auth Strength
85
Scope Granularity
60
Dep. Hygiene
60
Secret Handling
95

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).

⚡ Reliability

Uptime/SLA
0
Version Stability
65
Breaking Changes
40
Error Recovery
75
AF Security Reliability

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.

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)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Windows Authentication via pyodbc Trusted_Connection (no username/password storage)
OAuth: No Scopes: No

Authentication is delegated to the Windows account/domain identity used by the process; database permissions (least privilege) are enforced by SQL Server.

Pricing

Free tier: No
Requires CC: No

No pricing information is provided in the supplied README; repository metadata indicates MIT license.

Agent Metadata

Pagination
row limiting via configurable maximum rows per query (no explicit cursor-based pagination described)
Idempotent
True
Retry Guidance
Documented

Known 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.

Alternatives

Full Evaluation Report

Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for pyodbc-mcp-server.

AI-powered analysis · PDF + markdown · Delivered within 30 minutes

$99

Package Brief

Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.

Delivered within 10 minutes

$3

Score Monitoring

Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.

Continuous monitoring

$3/mo

Scores are editorial opinions as of 2026-04-04.

8642
Packages Evaluated
17761
Need Evaluation
586
Need Re-evaluation
Community Powered