Database
| Server | Language | Stars | Downloads |
|---|---|---|---|
| vector-embedding-mcp-server MCP Server for AI Embedding and RAG functionality | TypeScript | - | - |
| Vector Panda Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports. | — | - | - |
| vedb-mysql-mcp-server MCP server for VeDB MySQL | Python | - | - |
| vehicle-database MotiveGrid Vehicle Database is an MCP server that provides AI assistants with grounded vehicle intelligence. Compare cars, retrieve vehicle scorecards, analyze five-year cost of ownership, evaluate safety and driver-assistance features, and generate personalized vehicle recommendations using structured automotive data instead of web search. | — | - | - |
| Veto — SQL Safety & Cost Oracle Deterministic safety, correctness & cost gate that vets Postgres SQL before your AI agent runs it. | — | - | - |
| Vibe BI MCP Ask business questions in plain English. Get instant answers from your database, no SQL needed. | — | - | - |
| vibe-check-mcp-server Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks | TypeScript | 504 | - |
| Virtual Filesystem PostgreSQL-backed virtual filesystem for agents: session isolation, shared stores, POSIX ops, RLS. | TypeScript | - | - |
| VTCode VT Code is a Rust coding agent with LLM-native code understanding, OS-native sandboxing, and multi-provider support. | Rust | 784 | - |
| @vulhdev/knowledge-base MCP server for persistent document storage with full-text search | TypeScript | - | - |
| Vulnerability Intelligence Provides security professionals with comprehensive vulnerability intelligence tools for CVE lookup, CVSS calculation, exploit checking, and timeline tracking using data from the National Vulnerability Database. | — | 9 | - |
| vulnify CVE ingestion + enrichment pipeline with an MCP server for AI agents. | Python | 36 | - |
| w3-mcp-server-falkordb MCP server for graph database operations with FalkorDB | Python | - | - |
| waku-agent Waku Waku! Waku agent is your personal AI agent, on your own laptop, in code you can read in an afternoon — harness + loop + memory + eval | Python | 739 | - |
| wandb-mcp-server An empty placeholder package. | Python | 70 | - |
| warp-magento-mcp-server MCP Server for Warp Engine + Magento 2 development workflow | TypeScript | - | - |
| wave-mcp Open-source, license-free MCP server for RTL waveform debug: reads FST waveforms (VCD/FSDB auto-convert) plus a SystemVerilog netlist, with 34 tools covering driver analysis, value/X tracing, pass-fail waveform diff, a browser wave viewer the agent drives, and pre-simulation static analysis. | Python | 176 | - |
| Wax Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift | Swift | 799 | - |
| @web4w3/psql-mcp-server MCP server wrapping the PostgreSQL psql CLI | TypeScript | - | - |
| Web Security Scanner Enables automated web security testing for XSS and SQL injection vulnerabilities through Playwright-powered browser automation with screenshot capture and comprehensive error handling. | — | 22 | - |
| WeChat Reads and queries local WeChat data including chat records, contacts, sessions, and favorites via database decryption. | Python | 6 | - |
| wechat-cli WeChat/微信 local chat history MCP server for macOS agents. Read messages, contacts, media, favorites, transfers, red packets, Moments and full-text search from local WeChat 4.x data. | Go | 99 | - |
| wechat-db-decrypt-macos macOS arm64 微信 4.1 数据库解密,只在最新的微信 4.1.2.241 测试过,不支持4.0 以下版本 | Python | 582 | - |
| wechat-decrypt-macos 微信 macOS 聊天记录解密与分析工具 | Decrypt & analyze WeChat chat history on macOS via SQLCipher key extraction from process memory | Python | 43 | - |
| Well Manage business data including invoices, companies, and contacts through a structured database interface. Discover available data schemas to efficiently query specific records for reporting and dashboarding. Streamline administrative tasks by creating new company profiles and personnel entries directly. | — | - | - |