18,186 MCP servers crawled across 12 categories. 164 deterministic detection rules. Evidence chains, not vibes.
AI-native database utility. Talk to your DB in plain language. No SQL. MySQL & PostgreSQL.
MCP server for secure database access (PostgreSQL, MySQL, SQLite)
Connect AI tools to your PostgreSQL with permissions, encryption, and audit trails.
MCP server for AI-driven data pipeline operations — ingest, validate, transform, analyze, and query data. 32 tools covering ETL, AI data quality, vector search, PostgreSQL, MongoDB, Kafka, S3/MinIO, HashiCorp Vault, Qdrant, Weaviate, Milvus, Chroma, pgvector.
A Model Context Protocol (MCP) server that enables interaction with seekdb database. This server allows AI assistants to perform vector operations, manage collections, execute SQL queries and leverage AI functions through a controlled interface, making database exploration and analysis safer and more structured.
Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Free.
A read-only MCP server for interacting with a DB2 database.
MCP server for dbatools — exposes SQL Server management commands as MCP tools
Multi-database MCP server for PostgreSQL, MySQL, and ClickHouse
Multi-database MCP server supporting PostgreSQL, MySQL, SQL Server, SQLite, Databricks, and BigQuery for AI-powered database exploration and querying.
SQLite MCP server with OAuth 2.1 authentication, HTTP/SSE transport, and smart tool filtering
Database MCP server for MySQL, PostgreSQL, MongoDB, and SQLite with SSH tunneling support
Connects AI models to multiple database systems for executing queries and retrieving results across PostgreSQL, MySQL, and SQLite.
An Agentic RAG framework using MCP and In-Memory Knowledge Graphs to transform legacy enterprise databases into self-healing, searchable knowledge bases.
AI-driven quality & governance MCP Server for dbt projects. Audit coverage, profile data, detect schema drift, and auto-generate documentation — all through natural language with your AI assistant.
Ein Model Context Protocol (MCP) Server für die Deutsche Bahn Timetable API
A MCP (Model Context Protocol) server for interacting with dbt.
DevKit MCP Server + Jarwis AI Companion System - 160+ tools for full-stack development via Claude Desktop. Includes persistent memory, connector orchestration (Playwright, Windows-MCP, Excel-MCP), project scaffolding, architecture design, Git, Docker, Azu
A local/remote MCP server for generating infrastructure and architecture diagrams as code using the Python [diagrams](https://diagrams.mingrammer.com/) library ## Features **5 Diagram Tools** for infrastructure, architecture, and flowcharts: - **Infrastructure Diagrams** - 15+ providers (AWS, Azure, GCP, K8s, On-Prem, SaaS) - **500+ Node Types** - Compute, database, network, storage, security - **Custom Icons** - Web URLs (HTTPS) and local files - **Flowcharts** - 24 shapes for process diagrams - **Validation** - Dry-run before generation **Advanced Capabilities:** - Multiple output formats (PNG, PDF, JPG, DOT) - Cluster grouping with unlimited nesting - Edge styling (colours, labels, line styles) - Graphviz attribute customisation ## Installation **System Requirements:** - Graphviz must be installed: - macOS: `brew install graphviz` - Ubuntu/Debian: `sudo apt-get install graphviz` - Windows: Download from https://graphviz.org/download/ ### IDEs [](vscode:mcp/install?%7B%22name%22%3A%22diagrams%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22diagrams-mcp%22%5D%7D) [](https://cursor.com/en-US/install-mcp?name=diagrams&config=eyJjb21tYW5kIjoidXZ4IGRpYWdyYW1zLW1jcCJ9) ### Claude Desktop Add to your `claude_desktop_config.json`: **For published package:** ```json { "mcpServers": { "diagrams": { "command": "uvx", "args": ["diagrams-mcp"] } } } ``` **For local development:** ```json { "mcpServers": { "diagrams:local": { "command": "uv", "args": [ "--directory", "/ABSOLUTE/PATH/TO/diagrams-mcp", "run", "diagrams-mcp" ] } } } ``` ### Claude Code **Quick setup (CLI):** Published package: ```bash claude mcp add --transport stdio math -- uvx diagrams-mcp ``` **Team setup (project-level):** Add `.mcp.json` to your project root: ```json { "mcpServers": { "diagrams": { "command": "uvx", "args": ["diagrams-mcp"] } } } ``` **Verify installation:** ```bash claude mcp list ``` Or check in IDE: View → MCP Servers, or use `/mcp` command. ## Try It Once installed, try these prompts: - "Create an AWS 3-tier web application diagram with Route53, ELB, EC2 instances, and RDS" - "Generate a Kubernetes microservices architecture with ingress, services, and pods" - "Build a flowchart for a CI/CD pipeline with decision points" - "Create a diagram using a custom icon from my company logo URL" - "Show me all available AWS compute nodes" Map to tools: `create_diagram`, `create_diagram_with_custom_icons`, `create_flowchart`, `list_available_nodes`, `validate_diagram_spec` ## Tool Reference All tool parameters and descriptions are available in your IDE's autocomplete. ### Diagram Generation (3 tools) | Tool | Description | | ---------------------------------- | ------------------------------------------------------------ | | `create_diagram` | Full infrastructure/architecture diagrams with all providers | | `create_diagram_with_custom_icons` | Diagrams with custom node icons from URLs or local files | | `create_flowchart` | Simplified flowchart creation with 24 process shapes | ### Discovery & Validation (2 tools) | Tool | Description | | ----------------------- | ------------------------------------------------------------- | | `list_available_nodes` | Search 500+ available nodes by provider, category, or keyword | | `validate_diagram_spec` | Dry-run validation before generation | ## Custom Icons ### Web URL Icons - HTTPS-only (HTTP rejected) - 5MB file size limit - 5-second download timeout - Image format validation (PNG, JPG) - Automatic caching (~/.diagrams_mcp/icon_cache) ### Local File Icons - Path validation (file must exist) - Format validation - Sandboxed execution
达梦数据库 Model Context Protocol (MCP) 服务器
docket is a distributed background task system for Python
MCP server for SEC financial filing analysis — parse, search, extract tables, and Q&A over 10-K/10-Q filings using Docling, BGE-M3, LanceDB, and Bedrock Claude
Enables AI interaction with markdown documentation files through a SQL-like query format for creating, reading, updating, and searching documentation with YAML frontmatter metadata support in Node.js and Deno environments.
Manage Dokploy projects, applications, databases, domains, and backups from one place. Deploy from Git repositories, monitor status and logs, and control start/stop/restart actions effortlessly. Streamline workflows with guided prompts for app deployment, database setup, and troubleshooting.
A comprehensive Model Context Protocol (MCP) server for Dokploy - deploy apps, manage containers, databases, domains, and servers.