Finbud Data TypeScript API Library

Channel management and messaging capabilities

Discover the power of the “CLGateway”, an the open-source Claude MCP Server Gateway (available on GitHub). Built for users of Claude Desktop, Claude API or Claude Code, this Python-based gateway smartly manages your MCP (Model Context Protocol) servers and dramatically slashes token usage, cutting MCP context bloat by roughly 95%. Rather than forcing Claude to load every tool from all configured MCP servers (often thousands of tokens wasted upfront), the gateway exposes just three core tools initially. When you need a specific MCP server (GitHub, Google Workspace, DataForSEO, etc.), the gateway dynamically loads only what’s required, reducing tokens used, improving context clarity, and boosting performance.

An MCP Server for Overleaf Projects

A Model Context Protocol (MCP) server providing solutions for Constraint Satisfaction Problems (CSP) and Linear Programming (LP). Built on the gurddy optimization library, it supports solving a variety of classic problems through two MCP transports: stdio (for IDE integration) and HTTP/SSE (for web clients). 🚀 Quick Start (Stdio): pip install gurddy_mcp then configure in your IDE 🌐 Quick Start (HTTP): docker run -p 8080:8080 gurddy-mcp or see deployment guide 📦 PyPI Package: https://pypi.org/project/gurddy_mcp

PlusE is the Ultra Data Source for Your Trading AI—a revolutionary Model Context Protocol (MCP) service that transforms noisy market data into AI-ready trading intelligence. Old-school raw historical price is out, our HTTP Streamable MCP service is the best way to power trading AI. With pre-digested real-time financial insights delivered directly to your AI models via HTTP Streamable MCP, you can make smarter trading AI — in 5 minutes, no complex pipelines required. Unlike traditional financial data providers that require custom API integrations, PlusE uses the standard Model Context Protocol delivered via HTTP to seamlessly connect financial data tools directly to your AI models. Our service preprocesses, filters, and condenses massive financial datasets into high-density data abstractions. These pre-digested insights eliminate information overload and enable your trading AI to make faster, more accurate decisions.

Connect your AI workflows to Amplitude's powerful behavior analytics and experimentation platform. The Amplitude MCP server enables seamless integration between AI assistants and your product data, allowing you to search, analyze, and query charts, dashboards, experiments, feature flags, and metrics directly from your AI interface.

A FastMCP-based MCP server for converting JSON-formatted Markdown content into interactive flashcard pages. Project Overview FlashCardMCP is a FastMCP-based MCP service designed to convert Markdown content in JSON/CSV format into interactive flashcard pages. This service is suitable for learning, teaching, knowledge management, and any other scenario you desire, helping users create their own digital flashcard sets. Content Focus: Utilizes Markdown format, aligning with LLM output, allowing users to concentrate on content creation rather than irrelevant formatting details. Stable Output: Employs functions to stably generate flashcards, supporting CSS style input to meet personalized needs. Scenario-Based Templates: Provides pre-built templates for various scenarios, with further expansion planned. PDF Output: Flashcards can be printed as PDFs (8 cards per sheet), further accommodating different scenarios and real-world applications for use and memorization.

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

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Waver AI is an advanced text-to-video & image-to-video tool that transforms words into high-quality videos. Waver 1.0 delivers cinematic 1080p quality with superior motion modeling. Try Waver 1.0 now!

A short URL management client based on MCP (Model Context Protocol) protocol, providing complete short URL generation, management, and statistics functionality for AI assistants.

A Model Context Protocol (MCP) server for integrating with the Tomba.io API. This server provides comprehensive email discovery, verification, and enrichment capabilities through a standardized MCP interface. Features Tools (8 available) Domain Search: Find all email addresses associated with a domain Email Finder: Generate likely email addresses from names and domains Email Verifier: Verify email deliverability and check database presence Email Enrichment: Enrich emails with additional contact data Author Finder: Discover email addresses of article authors LinkedIn Finder: Find emails from LinkedIn profile URLs Phone Finder: Search phone numbers by email, domain, or LinkedIn Phone Validator: Validate phone numbers and check carrier info Resources (5 available) tomba://api/status - API status and account info tomba://domain/{domain} - Domain information tomba://email/{email} - Email information tomba://docs/api - API documentation tomba://docs/tools - Tools documentation Prompts (7 pre-built workflows) find_contact - Find complete contact info for a person verify_email_list - Batch verify email addresses research_company - Research company contacts and structure enrich_lead - Enrich a lead with all available data find_journalists - Find journalist contacts from articles finder_phone - Find phone numbers for contacts validate_phone - Validate a phone number Transport Options stdio - Standard input/output (default, for Claude Desktop) http - HTTP server with REST endpoints Installation Prerequisites Node.js 18 or higher npm or yarn Tomba API account (Sign up here)

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BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

GitLab API, enabling project management

A comprehensive Model Context Protocol (MCP) server for Dokploy, providing type-safe access to the complete Dokploy API with extensive tool coverage across all available endpoints.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

这是一个 Model Context Protocol (MCP) 服务器，用于与 YApi 接口管理平台集成，支持自动生成 TypeScript 类型定义、Mock 数据和 API 请求代码。

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

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。