"Microsoft SQL Server and Microsoft Certified Professional (MCP) Certification Information" matching MCP servers:

Enables AI agents to query Microsoft Entra data using natural language, converting requests into Microsoft Graph API calls for read-only enterprise IT scenarios.

Enables searching for relevant tables and retrieving data from Microsoft Sentinel's data lake using natural language, supporting security hunting scenarios like password-spray detection and impossible travel checks.

Connects LLMs and AI agents to enterprise Microsoft 365 environments, enabling administration across Exchange Online, Microsoft Graph, Entra ID, compliance, security, mailbox operations, and mail-flow diagnostics through 34 tools.

Enables querying GitHub Security Advisories from a local cloned advisory database using tools like list_advisories and get_advisory.

A Model Context Protocol server that enables secure interaction with Microsoft SQL Server databases, allowing AI assistants to list tables, read data, and execute SQL queries through a controlled interface.

It enables AI agents to securely perform directory administration, automation, security auditing, health diagnostics, and compliance reporting with strict guardrails, write-approval workflows, and immutable audit logs.

This MCP server implements VariousPolicies according to CSA BOD 25-01 requirements for Microsoft 365 cloud services

Enables AI assistants to safely explore and query MySQL, MariaDB, PostgreSQL, SQLite and StarRocks databases through read-only tools for schema listing, table description, schema search, row sampling, query execution, and plan explanation. Enforces least-privilege accounts, engine-level read-only sessions with timeouts, parsed SQL guardrails, and column masking so runaway or unsafe queries are refused.

Verifiable agent-to-agent task handoff with signed provenance chain.

Enables an LLM agent to write and execute checked read-only SQL against databases containing personal data while receiving tokens instead of declared personal values, so it can still compare, group, count, and join without seeing the underlying data.

A FastMCP server that provides AI assistants with access to Microsoft Entra (Azure AD) directory services. It enables LLMs to search for users, groups, and check memberships using the Microsoft Graph API.

Gives AI coding tools reviewed access to PostgreSQL, MySQL, SQL Server, and SQLite databases, letting read-only queries run instantly while every data or schema change pauses for human approval in a review dialog. It also exposes schema introspection for agents and a way to open the connection manager.

Provides secure access to Microsoft Entra ID (Azure AD) resources including users, devices, and applications through Microsoft Graph API. Enables querying organizational data with comprehensive audit logging to Azure Blob Storage.

An MCP server that lets Claude query a mock business SQL database in plain language through read-only tools, with server-side guardrails that enforce SELECT-only queries and block access to sensitive payment data.

Provides comprehensive management of Microsoft 365 services including Exchange, SharePoint, Teams, Azure AD, Intune device management, security & compliance frameworks, and universal access to 1000+ Microsoft Graph API endpoints with advanced features like batch operations, delta queries, and real-time webhooks.

A governed SQL gateway for untrusted AI agents, providing controlled access to PostgreSQL, MySQL, and OceanBase with RBAC, field ACLs, row policies, and cost controls.

Enables agents to run SELECT-only queries and inspect table metadata against configured databases via MCP Proxy, with timeouts, row and byte caps, and audit logging.

Enables assistants to inspect schemas and run bounded, read-only SQL queries over synthetic retail data with database-enforced guardrails, resource limits, and blocked write attempts.

Enables LLMs to propose UPDATE/DELETE SQL that is run in a transaction, measured, and rolled back, requiring human approval before applying to prevent unauthorized changes.

Validates SQL queries via AST parsing, ensuring they are single read-only SELECTs on allowed tables with enforced LIMITs, and masks PII columns based on user roles. Provides a tamper-evident audit log and runs fully offline.

C# SQL Agent MCP server featuring raw SQL input, strict AST validation, and an embedded Admin UI. Eliminates LLM hallucinations and security risks across 6 major databases.

Enables an MCP client to answer business questions by running read-only, allow-listed, masked SQL queries against a served database copy, with row/time limits and an audit log.

Enables AI agents to explore and query a SQL database safely, answering questions with real data while blocking writes, hiding protected columns, restricting results to one tenant's rows, and logging every call to an audit trail.

Enables AI agents to safely query and explore SQLite databases through read-only, guard-protected tools that block writes, sensitive table access, and runaway queries.

Enables read-only querying and diagnostics for dual SQL Server 2019 instances with rate limiting and security controls, accessible via MCP tools over HTTP.

Enables AI agents to safely query SQL databases through read-only tools for describing entities, reading records, and aggregating records, with view-based access and fail-closed per-user row-level security.

Enables AI agents to inspect any public domain’s web technology stack, email deliverability and DNS health (MX, SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI), and HTTPS security posture with typed JSON scores and remediation-ready findings, plus history, bulk checks, monitoring alerts, and reverse technology lookups.

Enables secure database operations on SQL Server instances through a three-tier safety system, supporting schema exploration, query execution, performance analysis, and data export with configurable security levels from read-only to full development access.

Enables AI agents to query Postgres databases read-only over the Model Context Protocol through three narrow tools, validating every statement as a single SELECT with an enforced row limit before it reaches the database. Guards against destructive statements, banned functions, system catalogs, and runaway queries via AST parsing plus a SELECT-only Postgres role.

Enables AI assistants to explore and analyse local CSV, Parquet or JSON files through validated read-only SELECT queries, with schema discovery, profiling and query-plan tools. Results are capped, timed, PII-masked and audit-logged inside a locked DuckDB sandbox that cannot write, reach the network or read other files.