"Managing the DM database" matching MCP servers:

A self-contained, in-memory graph database for AI Agents. Provides semantic code understanding through the Model Context Protocol (MCP).

Enables querying Odoo's model registry (fields, inheritance, methods) without a database connection by loading the registry in-memory.

Blocks unsafe PostgreSQL migrations before an AI agent writes or runs them. check_before_apply returns a pass/fail gate; reads the real Postgres parser, classifies the lock each statement takes, checks 112 safety rules. Runs offline, no database required.

Enables AI agents to format SQL, explain queries in plain English, analyze schemas, build queries from natural language, and generate migrations, all without requiring a database connection.

An MCP server that analyzes and traces business code flows across your codebase, enabling developers to quickly understand the complete execution path of features from frontend to backend to database.

Enables secure read-only querying of multiple database types (MySQL, PostgreSQL, MSSQL, Oracle) through natural language. Automatically reads database configuration from project files and blocks any data modification operations for safety.

Provides comprehensive MySQL database operations including CRUD, performance optimization, health analysis, and anomaly detection. Supports multiple connection modes, OAuth2.0 authentication, and role-based permissions for database management through natural language.

Enables AI clients to interact with multiple IDA Pro instances (GUI and headless) for reverse-engineering tasks, routing each tool call to the correct database via instance_id.

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

Validates AGENTS.md files against the cross-vendor coding-agent spec, detecting security smells and consistency issues.

A high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.

Enables semantic code search across multi-language codebases using natural language queries, integrated with Qdrant vector database for fast, cached retrieval.

Indexes Unity projects into a SQLite database and exposes 23 MCP tools for Claude to explore scenes, prefabs, scripts, and assets via structured queries.

Enables AI agents to architect, validate, scaffold, and generate code for WTinyDB document database models and patterns.

Semantic search server for code and documentation using Qdrant vector database. Supports multi-language indexing, live updates, and natural language queries.

Enables secure interaction with Salesforce orgs through LLMs, providing tools for managing orgs, querying data, deploying metadata, running tests, and performing code analysis with granular access control and encrypted authentication.

Headless MCP server for IDA Pro enabling on-demand database loading and programmatic reverse engineering workflows via MCP tools.

Provides LLMs and AI agents safe, structured, read-only access to verification artifacts for deterministic triage and root-cause analysis. Supports UVM, cocotb, and SystemVerilog verification ecosystems.

Indexes project source files into a local Zvec vector database and provides semantic search through MCP tools, enabling natural-language queries over code.

140+ T-SQL static code analysis rules for SQL Database Projects