greptimedb-mcp-server

Query multiple LLMs in parallel from AI coding tools. Ask a question to OpenAI, Gemini, Groq, or any OpenAI-compatible API — and CLI agents like Claude Code, Codex, and Gemini CLI — then compare answers, run consensus votes, structured debates, and judge evaluations. Rubber duck debugging, but the ducks talk back.

The code quality toolkit for the vibe coding era. Static analysis that finds the mess vibe coding leaves behind — dead code, duplicated logic, scaffolding artifacts, and disconnected functions — across 15 languages.

Independent journalism for the AI agent economy. Query articles, search news, get verified stats on agent platforms, commerce, infrastructure, and regulations.

Ziwei AI Overview: Ziwei AI is an innovative AI application based on the wisdom of traditional Chinese culture, specifically “Ziwei Dou Shu.” It aims to help users better inherit Chinese civilization by leveraging big data methodologies to process information, understand oneself, master life’s rules, and improve work and life efficiency. Ziwei AI seamlessly integrates the wisdom of traditional culture with modern technology. With its three core features—charting, chart analysis, and interactive reports—Ziwei AI provides a professional yet simplified, engaging, and accessible tool. It caters to users’ needs for big data trend analysis and interpretation. Core Features: 1. Charting Function: Ziwei AI offers comprehensive charting services, including birth charting, 10-year fortune charts, annual/luck cycle charts, monthly charts, daily charts, and even hourly charts. This function allows users to visualize their Ziwei star charts, combining historical, geographical, and astronomical knowledge to understand personality traits and natural talents while identifying trends and developments across different life stages. 2. Chart Analysis: Ziwei AI delivers fully automated analysis services and generates real-time, precise reports. Using a systematic approach, it provides targeted interpretations of charting results, uncovering hidden data insights. This helps users objectively understand the underlying values and positive energies, enabling smarter decisions in life to maximize benefits and avoid pitfalls. 3. Interactive Reports: Ziwei AI enables users to engage with traditional cultural knowledge through conversational interactions. It offers personalized and engaging Ziwei Dou Shu knowledge in an easily digestible format, enhancing user experience and contextualizing interpretations for daily life scenarios. This functionality fosters better understanding and promotes traditional cultural dissemination. 4. Cultural Inheritance and Popularization: By combining traditional Chinese culture with modern technology, Ziwei AI innovatively inherits the wisdom of Ziwei Dou Shu while promoting Chinese civilization on the global stage. Its AI-generated reasoning reports not only improve the scientific validity and readability of metaphysics but also contribute to the dissemination of Eastern traditional culture in contemporary society. Ziwei AI is not just a practical and fun technological application; it is a gateway to the profound wisdom of traditional culture empowered by artificial intelligence. Let us embrace this groundbreaking fusion of ancient wisdom and modern technology. Service Access: • WeChat Official Account: Ziwei AI • Website: https://ziweiai.com.cn

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Browser automation MCP server using Chrome/Edge. Access authenticated sites, handle CAPTCHAs, SSO, and JavaScript-heavy pages with your real browser session.

Auto-generate AGENTS.md from your codebase Stop writing AGENTS.md by hand. Run agentsmith and it scans your codebase to generate a comprehensive context file that AI coding tools read automatically. What is AGENTS.md? AGENTS.md is an open standard for giving AI coding assistants context about your project. It's adopted by 60,000+ projects and supported by: Cursor GitHub Copilot Claude Code VS Code Gemini CLI And 20+ more tools AI tools automatically discover and read AGENTS.md files - no configuration needed. What agentsmith does Instead of writing AGENTS.md manually, agentsmith scans your codebase and generates it: npx @jpoindexter/agent-smith agentsmith Scanning /Users/you/my-project... ✓ Found 279 components ✓ Found 5 components with CVA variants ✓ Found 37 color tokens ✓ Found 14 custom hooks ✓ Found 46 API routes (8 with schemas) ✓ Found 87 environment variables ✓ Detected Next.js (App Router) ✓ Detected shadcn/ui (26 Radix packages) ✓ Found cn() utility ✓ Found mode/design-system ✓ Detected 6 code patterns ✓ Found existing CLAUDE.md ✓ Found .ai/ folder (12 files) ✓ Found prisma schema (28 models) ✓ Scanned 1572 files (11.0 MB, 365,599 lines) ✓ Found 17 barrel exports ✓ Found 15 hub files (most imported) ✓ Found 20 Props types ✓ Found 40 test files (12% component coverage) ✓ Generated AGENTS.md ~11K tokens (9% of 128K context) Install # Run directly (no install needed) npx @jpoindexter/agent-smith # Or install globally npm install -g @jpoindexter/agent-smith Usage # Generate AGENTS.md in current directory agentsmith # Generate for a specific directory agentsmith ./my-project # Preview without writing (dry run) agentsmith --dry-run # Custom output file agentsmith --output CONTEXT.md # Force overwrite existing file agentsmith --force Output Modes # Default - comprehensive output (~11K tokens) agentsmith # Compact - fewer details (~20% smaller) agentsmith --compact # Compress - signatures only (~40% smaller) agentsmith --compress # Minimal - ultra-compact (~3K tokens) agentsmith --minimal # XML format (industry standard, matches Repomix) agentsmith --xml # Include file tree visualization agentsmith --tree

MCP server to provide Figma layout information to AI coding agents like Cursor

Repository management, file operations, and GitHub API integration

Browser automation and web scraping

Manage your Docker or Podman deployments through Komodo with AI assistants and automation tools. Komodo MCP Server enables seamless interaction between AI assistants (like Claude, GitHub Copilot) and Komodo (Container Management Platform) for efficient container management, server orchestration, and deployment operations. The MCP-Server gives you the ability to control your Komodo-managed infrastructure by using natural language or automated workflows.

An MCP server that lets AI assistants see, describe, tag, and manage photos on your Flickr account. Browse photos and albums, draft titles/descriptions/tags, check stats, discover and submit to groups, read and post comments, and keep local notes — all through the Model Context Protocol.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Stop re-explaining yourself to Claude every session. Ace Memory gives Claude Code persistent memory across sessions with 21 tools: save and search memories by meaning (not just keywords), auto-log git commits, capture ideas silently and resurface them when relevant, preserve discussion threads through context compression, and track full session history. Smart memory lifecycle auto-decays unused memories while protecting your preferences and corrections forever. Cloud-native storage via Supabase + pgvector means your memories survive machine wipes and work across devices. Setup takes 5 minutes.

CodeReaper is an AI-driven MCP tool for Cursor that finds and removes dead JavaScript by exploring real UIs and capturing V8 coverage ``` pip install codereaper playwright install chromium codereaper ``` Then, you will be prompted to insert Gemini API Key

Secure file operations with configurable access controls

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem. Supports session-isolated file operations, cross-session shared stores, 11 POSIX-style tools (read, write, ls, mkdir, rm, mv, glob, grep, etc.), and optional Row Level Security for multi-tenant deployments. Works with Claude Desktop, Claude Code, Cursor, Windsurf, Cline, and any MCP client.

MCP server for AI agents to manage ad campaigns across Google, Meta, LinkedIn, Microsoft, Reddit, TikTok, and more. Create campaigns, pull performance data, generate AI creatives, and optimize budgets. Also, for conversion tracking, google analytics, posthog, hubspot, salesforce.com, stripe, and more.

> **Disclaimer:** This project was vibe coded and is **not affiliated with or supported by [iRail vzw](https://hello.irail.be)**. Train data may be inaccurate or outdated. Always verify with official sources ([belgiantrain.be](https://www.belgiantrain.be) or the NMBS/SNCB app) before making travel decisions. A [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server that provides Belgian railway travel information via the [iRail API](https://api.irail.be). ## Features - **Search Stations** - Find Belgian railway stations by name - **Live Departures/Arrivals** - Real-time departure and arrival boards - **Find Connections** - Route planning between stations with transfers - **Train Information** - Detailed stops, delays, and platforms for a specific train - **Network Disturbances** - Current disruptions and planned maintenance ## Installation Requires Python 3.11+ and [uv](https://docs.astral.sh/uv/). ```bash git clone https://github.com/HansF/irail-mcp.git cd irail-mcp uv venv && source .venv/bin/activate uv pip install -e . ``` ## Usage with Claude Code Add to your project's `.mcp.json`: ```json { "mcpServers": { "irail": { "command": "uvx", "args": ["irail-mcp"] } } } ``` Then ask Claude things like: - "What trains leave Brussels Central in the next hour?" - "Find a route from Antwerp to Bruges at 2:30 PM tomorrow" - "Are there any disruptions on the Belgian rail network?" - "Show me details for train IC2240" ## Tools ### search_stations Search for stations by name. - `query` (required) - Station name or partial name - `lang` (optional) - Language: en, nl, fr, de, it ### get_liveboard Real-time departures or arrivals from a station. - `station` (required) - Station name - `date` (optional) - YYYY-MM-DD, "today", "tomorrow", "+2 days" - `time` (optional) - HH:MM (24h) - `arrival` (optional) - Show arrivals instead of departures - `lang` (optional) ### find_connections Find routes between two stations. - `from_station` (required) - Departure station - `to_station` (required) - Destination station - `date`, `time`, `lang` (optional) - `arrival_time` (optional) - If true, time is desired arrival time ### get_train_info Detailed information about a specific train. - `train_id` (required) - e.g. "IC1234" or "BE.NMBS.IC1234" - `date`, `lang` (optional) ### get_disturbances Current network disruptions and planned works. - `lang` (optional)

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

MCP server for Voyage AI embeddings, reranking, and MongoDB Atlas Vector Search. Provides 11 tools for semantic search, document ingestion, cost estimation, and model exploration. Full RAG pipeline: chunk, embed, vector search, and rerank from any MCP client.

An MCP (Model Context Protocol) server specialized in deciphering PDF internal structures. While typical PDF MCP servers are thin wrappers for text extraction, this project focuses on reading and analyzing the internal structure of PDF documents. Pair it with pdf-spec-mcp for specification-aware structural analysis and validation.

GitLab API, enabling project management

Access 20+ DeFi, crypto, and AI endpoints through micro-payments. Get Aave rates, build DeFi transactions, fetch crypto prices, resolve ENS names, search Twitter, and query LLMs — all paid per-call with USDC on Base. No API keys needed, payment is the auth