#AI-tools

MCP server connecting AI agents (Claude, Cursor, Windsurf) to real geographic data: 261 countries, 5.2M cities, rankings, comparisons, and 9 Bamwor indices. Free tier, no API key required. Powered by Bamwor.

AI-integrated tools for learning, writing, and publishing. ProvenanceAI builds free MCP tools that help authors develop and protect their voice, editors assess manuscript quality, instructors design humanities courses, and researchers produce defensible, well-sourced work. Current tools cover editorial analysis: voice profiling, authenticity scoring, structural review, style consistency, research grading, and manuscript readiness. Expanding into curriculum design, academic writing, and book production workflows. No email gate. Every tool returns a full structured result on the first call. Powered by ProvenanceAI × Exact Rush.

Ask Claude what SaaS ideas are worth building. Pulls revenue data, growth signals and community pain points from AppSumo, TrustMRR, Product Hunt, Indie Hackers, Reddit and more — and returns a ranked list of opportunities in seconds.

Give your AI agent real vehicle data. An MCP server that lets Claude, Cursor, ChatGPT, or any MCP-capable client query the CarVector API natively — vehicle specs, representative images, federal recalls, and OBD-II diagnostic trouble codes. Models hallucinate car data. They invent horsepower numbers, miss recalls filed last week, and guess at what a trouble code means. carvector-mcp gives your agent structured, sourced answers it can cite instead of a confident guess.

A managed MCP server with 130+ production-ready AI skills for Claude, ChatGPT, and Gemini. Sign up once, pick skills from the marketplace, and instantly unlock specialized tools for SEO, eCommerce, marketing, coding, and more — no server setup required.

MCP server for monitoring, managing and querying Informatica IDMC CDI jobs — start/stop jobs, check status, query activity logs via Claude, Cursor, and Agentforce

Pexels MCP server — search and fetch free stock photos, videos, and curated collections from Pexels inside Claude, Cursor, Cline, and other MCP clients.

Search and inspect 6,500+ curated AI apps from the HyperStore directory via 8 MCP tools, 3 resources, and 3 prompts. Read-only, no auth required. Works with Claude, ChatGPT, Cursor, Windsurf, Cline, Zed, Gemini.

Read-only MCP server for searching and discovering 3,000+ AI tools from AI Collection. Includes tools for search, categories, tool details, alternatives, and curated top picks.

MCP server for NYC real estate due diligence. Query 22+ NYC public-record databases — DOB/HPD/ECB violations, ACRIS deeds, DOF sales, 311 complaints, FDNY incidents, NYPD complaints, marshal evictions, PLUTO, rent stabilization — in plain English. **Try without installing:** https://nycpropertyintel.com/chat (3 free queries, no signup) **Free trial:** Sign up at https://nycpropertyintel.com for 10 queries/day for 30 days. **Self-host:** Open source under MIT — full instructions at https://github.com/ccedacero/nyc-property-intel **Datasets covered:** - DOB violations, permits, complaints - HPD complaints, violations, registrations, litigations - ECB/OATH violations - ACRIS deeds, mortgages, liens - DOF rolling sales + annual sales + assessments + exemptions + tax liens - 311 service requests (200+ complaint types) - FDNY fire incidents - NYPD complaint data (geospatial radius) - Marshal eviction records - PLUTO property profiles - Rent stabilization registry ~19M rows loaded into Postgres via the open-source [nycdb](https://github.com/nycdb/nycdb) project. Tier-1 datasets refresh daily. **Compliance:** Strict Fair Housing — refuses tenant-screening and demographic-profiling queries at the software layer. Not legal/financial/appraisal advice.

Connect your AI assistant to IoT device networks via MQTT. Subscribe to sensor topics, publish commands, monitor device health, and set threshold alerts — all through the Model Context Protocol. Works with any MQTT 3.1.1/5.0 broker: Mosquitto, HiveMQ, EMQX, AWS IoT Core, Azure IoT Hub, or your local Home Assistant instance.

MCP server for OpenSCAD — render models, extract parameters, export STL, preview geometry, and create parametric CAD designs from AI assistants.

pen-source MCP server that AI coding agents call as they work to log structured change events. Captures the entity (DB column, table, function, endpoint, dependency, env var), the diff, and the reasoning behind each change to a local SQLite database — preserving the intent that would otherwise evaporate when the agent session ends. Six MCP tools: log_change, diff, blame, history, changeset, and search. Answers questions like "when was users.stripe_customer_id added and why?" or "which agent added the payments table?" Zero-config (SQLite, WAL mode), Python 3.10+, MIT licensed. Like git blame, but for semantic entities and AI agents.

Open Ephemeris is a production-grade MCP server that gives Claude, ChatGPT, Gemini, Cursor, and any MCP-compatible agent direct access to real astronomical data. Over 100 tools cover the full range of astrological traditions: natal chart calculation, transit and progression forecasting, synastry, astrocartography ACG lines, Human Design body graph, BaZi four pillars, eclipse windows, lunar phases, planetary hours, and fixed star positions. All positions are computed at request time from JPL DE440 — accurate to arc-second precision. No hallucinated positions. No astronomy math in your application code. Free tier available.

GPT Image 2 AI is an MCP-compatible service for generating and transforming images using text prompts. It provides a simple interface for AI agents and developer tools to create visual outputs, refine images, and experiment with generative workflows in a programmatic way. The service is designed to be lightweight and easy to integrate into MCP-based environments, enabling use cases such as: text-to-image generation image refinement and variation visual prototyping workflows AI-assisted content pipelines 👉 https://gptimg2ai.net This server can be used by AI agents to generate visual assets dynamically, making it suitable for creative tooling, automation workflows, and experimental AI applications.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

MCP server for tmux — browse sessions, windows and panes, capture terminal output, and send commands. Force your AI agent to run all commands through tmux for full observability. Works with Claude Code, OpenCode, Cursor, Windsurf, Cline, Roo Code, Continue, Codex, and any MCP-compatible AI assistant.

MCP server that exposes the full FAOSTAT API as tools for AI assistants — query UNFAO Food & Agriculture Statistics in natural language via Claude, Cursor, or any MCP-compatible client.

Shape-shifting MCP hub — shapeshift() into 10,000+ servers at runtime. One entry point, no restarts. Connects to Smithery, npm, PyPI, Glama, and 6 other registries. Install once, reach everything.

Parse and generate VFX industry file formats via MCP. Round-trip stable Nuke .nk, MaterialX .mtlx, and USD ASCII .usda parsing — pure transforms, no filesystem access, zero native dependencies.

Read, send, search, and manage Instagram Direct Messages through AI assistants via MCP. 15 tools including inbox, send, search, react, and thread management. Cookie-based auth, single dependency, TypeScript strict, auto-pagination.

MCP server for discovering and invoking monetized AI tools. Agents connect to search the SettleGrid marketplace by keyword or category, inspect tool details and pricing, and call any tool — all through the Model Context Protocol. Supports per-call billing via Stripe Connect.

This Model Context Protocol (MCP) server brings the full power of the TanStack CLI directly into your AI assistant (Claude, Cursor, etc.). It enables your AI to search official documentation, discover libraries, fetch guides, and scaffold new projects—all without leaving the chat.

Catch spec drift before it catches you. Pituitary indexes your specs, docs, and decision records, then detects overlap, contradictions, stale docs, and code that drifts from what was decided. 6 tools for spec-aware AI workflows: - search_specs: semantic search across indexed spec sections - check_overlap: detect specs that cover overlapping ground - compare_specs: side-by-side tradeoff analysis of two specs - analyze_impact: trace which specs, docs, and code paths are affected when a spec changes - check_doc_drift: find docs that contradict accepted specs - review_spec: full composite review (overlap + comparison + impact + drift + remediation) Single Go binary. One SQLite file. No API keys required. Deterministic by default.

MCP server with 22 tools for marketplace search, license verification, childcare costs, estate sales, FCC IDs, GSA auctions, and more across 15+ platforms

23 MCP tools for AI agents. 13 free developer utilities (UUID, JSON, Base64, hashing, JWT, regex, cron, ETH). 7 paid creative tools. Browse and buy from 218+ digital goods across 22 shops at substratesymposium.com. Free tools get agents in the door, the cultural district keeps them.

WebsitePublisher.ai MCP server provides 44+ tools for complete website publishing. Create and update pages, upload assets, manage dynamic data entities, configure contact forms, handle integrations, and publish to production — all through MCP. Supports Claude Desktop, Cursor, Windsurf, GitHub Copilot Studio, Mistral/Le Chat, Smithery, and all MCP-compatible clients. OAuth 2.1 with PKCE. Streamable HTTP + SSE transports supported.

Claude Code session organizer — dashboard MCP server to manage, search, archive and organize your Claude Code conversations and projects.

MCP server for Apple Search Ads API v5 — manage campaigns, keywords, budgets, and reports through AI assistants

Talk to your databases in natural language. Multi-database MCP server (PostgreSQL, MySQL, SQLite) with 19 tools for connection management, schema introspection, query execution, rollback snapshots, and query history. Auto-discovers schema with FKs so AI agents can build JOINs from natural language. Confirmation required for destructive ops. Zero config.

AI-powered code analysis and context optimization tools. Slim large code files to relevant sections (save 60-80% tokens), compress text, analyze conversations for noise, and search past chat knowledge bases. Supports x402 micropayments on Base.

MCP server + CLI that scans any project to discover its full AI ecosystem: MCP servers, context files, skills, agents, memories, and configurations for 19+ AI tools (Claude, Cursor, Windsurf, Copilot, Gemini, Codex, and more). Generates interactive HTML dashboards and supports ecosystem export/import across tools.

VirtualSMS is an SMS verification API for developers and AI agents. Buy virtual phone numbers and receive OTP codes for 700+ services including Telegram, WhatsApp, Google, Facebook, Twitter, TikTok and more in 100+ countries. Real SIM cards — not VoIP — means higher success rates. Full refund guaranteed if no SMS received. Includes MCP server for Claude/Cursor, REST API, and Telegram bot. Pay-per-use pricing with no subscription required.

Professional MCP Server custom development & search ranking growth service. We build MCPs and make AI find them.

MCP bridge that connects AI coding assistants to the Unreal Engine 5 editor. Create materials, blueprints, spawn actors, manage data tables, profile performance, and 100+ more tools — all through natural language. Works with Claude Code, Cursor, VS Code, Gemini, Windsurf, JetBrains, Zed, and Amazon Q. Install with: pip install unrealmcp

Comprehensive WooCommerce MCP server with 101 tools for full store management - products, orders, refunds, notes, customers, coupons, reviews, categories, tags, brands, attributes, variations, payment gateways, reports, media, shipping, taxes, webhooks, settings, system status, and data. Features token-optimized field filtering (60-97% savings), 7 MCP resources, 5 guided prompts, tool annotations, and actionable error messages.

AI-powered website crawling, analysis, and export via MCP. 38 tools for crawl control, browser enrichment capture, WARC/ZIP/single-HTML export, observation timeline, and evidence-backed findings. 4 resources, 4 prompts. Dual-mode: full (38 tools) or code (6 tools). Install: npx crawlio-mcp

100-tool browser automation for AI agents via MCP. Screenshots, DOM inspection, network capture, form filling, cookie management, tab orchestration, session recording, and structured data extraction via Chrome extension. One-command setup: npx crawlio-browser init auto-configures 14 MCP clients.recording + 1 compiler) with framework-aware intelligence, typed evidence infrastructure, and confidence-tracked findings — captures what static crawlers can't see.

One memory you own. Works with every AI tool you use. Woxpas is the memory layer you own. Use it on its own or connect it across every AI tool you work with. Your AI tools don't talk to each other, and they each decide what to remember about you without asking. Woxpas fixes both — one vault you control, accessible by every agent you work with.

MCP server for comparing AI coding tools: side-by-side comparisons, detailed tool profiles, AI-powered recommendations based on your needs, and pricing comparisons. 5 tools on Cloudflare Workers.

The only MCP server that gates skill installation behind a full security scan. 60+ threat patterns, 13 MCP tools, and support for 7 clients including Claude Code, Cursor, Windsurf, and GitHub Copilot. Features AI-powered search, cloud sync, and startup verification with SHA-256 content hashing.

WebsitePublisher.ai MCP server provides 44+ tools for complete website publishing. Create and update pages, upload assets, manage dynamic data entities, configure contact forms, handle integrations, and publish to production — all through MCP. Supports Claude Desktop, Cursor, Windsurf, GitHub Copilot Studio, Mistral/Le Chat, Smithery, and all MCP-compatible clients. OAuth 2.1 with PKCE. Streamable HTTP + SSE transports supported.

One app to manage all your MCP servers across every AI client.

RLM solves Claude Code's biggest limitation: memory loss. Every time you /compact or hit the context limit, your decisions, insights, and conversation history disappear. RLM fixes this with an MCP server that auto-saves before context loss, lets you store key decisions as searchable insights, and keeps your full conversation history in persistent chunks. Features include BM25 ranked search, fuzzy matching (typo-tolerant), multi-project organization, and smart retention that auto-archives old chunks. Inspired by MIT CSAIL's Recursive Language Models paper. Install in 3 lines, zero configuration needed.

AI-native SaaS discovery and recommendation MCP server. Search 150+ curated SaaS tools, get personalised recommendations based on business needs, retrieve detailed tool information, categories, and directory statistics. Optimised for agents that need structured SaaS discovery instead of web search.

Cut through the noise. Learn practical AI tools for Web Workers, Digital Marketers and SEO practitioners that can improve your workflow and your team’s efficiency. From MCP servers, custom development to local LLMs, Houtini shows you what works, why it matters, and exactly how to use it.

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

The CodeScene MCP Server exposes CodeScene’s Code Health analysis as local AI-friendly tools.

Scalekit Model Context Protocol (MCP) server provides comprehensive tools for managing environments, organizations, users, connections, and workspace operations. Built for developers who want to connect their AI tools to Scalekit context and capabilities based on simple natural language queries. This MCP server enables AI assistants to interact with Scalekit’s identity and access management platform through a standardized set of tools. It provides secure, OAuth-protected access to manage environments, organizations, users, authentication connections, and more. Features Environment management and configuration Organization and user management Workspace member administration OIDC connection setup and management MCP server registration and configuration Role and scope management Admin portal link generation Configuration The Scalekit MCP server can be configured to support OAuth for compatible clients. If your MCP Client doesn’t support OAuth based authorization for MCP Servers, you can still use the Scalekit MCP server with the mcp-remote acting as a local proxy to add OAuth support. ## using OAuth: { "servers": { "scalekit": { "type": "http", "url": "https://mcp.scalekit.com/" } } } ## using mcp-remote: { "mcpServers": { "scalekit": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.scalekit.com/"] } } }

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

A comprehensive JSON Schema validation server implementing the Model Context Protocol (MCP) with support for JSON Schema Draft 2020-12, external references, schema management, and real-time streaming validation.

This MCP server provides AI agents with powerful code cleanup capabilities through knip.dev integration. It's designed to work seamlessly with Cursor AI and other MCP-compatible tools to maintain clean, efficient codebases.

A Model Context Protocol (MCP) server that provides translation management capabilities for i18next projects, enabling AI assistants like Cursor to directly interact with translation files.

一个功能强大的 Pixiv 工具集，通过模型上下文协议 (MCP) 为大语言模型（如 Claude）提供浏览、搜索和下载 Pixiv 内容的能力。

A comprehensive **Model Context Protocol (MCP)** server for market sizing analysis, TAM/SAM calculations, and industry research. Built with TypeScript, Express.js, and following the MCP 2024-11-05 specification.

Desktop app that automatically scans and blocks malicious MCP traffic in AI apps like Cursor, Claude, VS Code and Windsurf.

Servidores MCP para IntegridAI - Compliance Ley 27401, análisis legal y herramientas IA para el mercado argentino

MCP server for multi-perspective analysis and structured debates

Secure MCP server for libSQL databases with comprehensive tools, connection pooling, and transaction support. Built with TypeScript for Claude Desktop, Claude Code, Cursor, and other MCP clients.

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🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.

MCP (Model Context Protocol) server for JIRA integration

the first project with mcp server, connecting to ai tools

A Model Context Protocol (MCP) server enabling AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed via NCBI E-utilities. Includes a research agent scaffold. STDIO & HTTP

MCP server for accessing N8N node information through Claude Desktop

Advanced MCP Server with AI-powered Limitless API features: natural time queries, meeting detection, action item extraction, daily summaries, and speaker analytics

Model Context Protocol server for Vikunja task management. Enables AI assistants to interact with Vikunja instances via MCP.

A Model Context Protocol (MCP) server that exposes Moleculer.js actions as AI tools.

A Model Context Protocol server that provides task orchestration capabilities for AI assistants

Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.

A set of tools to use while coding using the Claude code cli. "smartgrep" is a grep-like tool that uses a semantic index of the codebase to provide Claudes with information tailored for how they think. Claudes love it! A "codebase-curator" Claude to assist the "developer" Claude in his coding tasks, together they implement fully integrated code.

A powerful, production-ready MCP server implementing the Model Context Protocol with robust SSE transport, built-in tools, and comprehensive error handling. Seamlessly connect AI models to data sources with enterprise-grade stability and performance.

MCP Space is a no-code AI tool builder that simplifies creating and managing AI models using the Model Context Protocol. Join us on GitHub to explore and contribute to this innovative platform! 🐙🌟

Skip to content Navigation Menu automateyournetwork Wikipedia_MCP Type / to search Code Issues Pull requests Actions Projects Wiki Security Insights Settings Owner avatar Wikipedia_MCP Public automateyournetwork/Wikipedia_MCP Go to file t Name automateyournetwork automateyournetwork initial 0cd4b24 · 1 minute ago Dockerfile initial 1 minute ago LICENSE Initial commit 2 hours ago README.md initial 1 minute ago main.py initial 1 minute ago requirements.txt initial 1 minute ago Repository files navigation README Apache-2.0 license Wikipedia MCP Server This project provides a Model Context Protocol (MCP) server that exposes structured access to Wikipedia content. It uses the FastMCP framework to define tools for use in AI workflows, agents, or developer environments like Claude and VS Code. ✅ Features 🔍 Search for Wikipedia pages 📄 Retrieve page summary, full content, and HTML 🔗 Extract links, images, references, and categories 📌 Detect disambiguation options 📌 Check if a page exists ⚡ Built on FastMCP — plug into any agent system 🛠 Installation (Local) git clone https://github.com/yourname/wikipedia-mcp-server.git cd wikipedia-mcp-server python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt python wikipedia_mcp_server.py 🛠 Installation (Docker) 🐳 Docker Setup Build the container: docker build -t wikipedia-mcp . Run the server: docker run -it --rm wikipedia-mcp 🛠 Usage 🧠 Available Tools Tool Name Description -------------------- -------------------------------------------------- get_summary Get a summary of a Wikipedia page get_content Get the full content of a Wikipedia page get_html Get the rendered HTML of a Wikipedia page get_images Get a list of image URLs from a Wikipedia page get_links Get a list of internal links from a Wikipedia page get_references Get a list of external references from a Wikipedia page get_categories Get a list of Wikipedia categories get_url Get the direct Wikipedia URL get_title Get the canonical title of a Wikipedia page get_page_id Get the internal Wikipedia page ID search_pages Search for Wikipedia page titles check_page_exists Check if a Wikipedia page exists disambiguation_options Get disambiguation options for ambiguous titles -------------------- -------------------------------------------------- 📁 File Structure . ├── wikipedia_mcp_server.py ├── requirements.txt ├── Dockerfile ├── README.md 💻 VS Code / Claude MCP Integration Add this to your .vscode/settings.json or Claude configuration to launch this server using MCP: ✅ For Local Python Execution { "mcp": { "servers": { "wikipedia": { "type": "stdio", "command": "python3", "args": [ "/absolute/path/to/wikipedia_mcp_server.py" ] } } } } 🐳 For Docker Execution { "mcp": { "servers": { "wikipedia": { "type": "stdio", "command": "docker", "args": [ "run", "--rm", "-i", "--mount", "type=bind,src=${workspaceFolder},dst=/workspace", "wikipedia-mcp" ] } } } } About A Model Context Protocol (MCP) Server for Wikipedia Resources Readme License Apache-2.0 license Activity Stars 1 star Watchers 1 watching Forks 0 forks Releases No releases published Create a new release Packages No packages published Publish your first package Languages Python 96.6% Dockerfile 3.4% Suggested workflows Based on your tech stack Python application logo Python application Create and test a Python application. Python package logo Python package Create and test a Python package on multiple Python versions. Python Package using Anaconda logo Python Package using Anaconda Create and test a Python package on multiple Python versions using Anaconda for package management. More workflows Footer © 2025 GitHub, Inc. Footer navigation Terms Privacy Security Status Docs Contact Manage cookies Do not share my personal information

The Oxylabs MCP server provides a bridge between AI models and the web. It enables them to scrape any URL, render JavaScript-heavy pages, extract and format content for AI use, bypass anti-scraping measures, and access geo-restricted web data from 195+ countries.

A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.

Centralized management of AI tool configurations (rules, commands, MCP servers) with streamlined setup for global and project-specific environments.

Model Context Protocol The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.

VS Code AI Agent Interactive Programming. Tools for CoPIlot and other assistants. Can also be used asan MCP server.

MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.

Suiware AI Tools and MCP Server

Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs

Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.

A customizable, general purpose AI Agent that supports MCP. Talk to Saiki in natural language to control computers, applications and more!

An MCP server for the Recurse Center

Desktop application for managing Model Context Protocol servers (MCP). Provides a centralized interface to configure and manage MCP servers for use with LLMs and AI assistants such as Claude.

Olostep MCP Server offers web access tooling to AI apps with minimal setup. It allows AI to: 1. Search the web using google 2. Get the markdown content of any web page 3. Discover and filter out relevant URLs within a website.

Datax is an intelligent data analysis tool designed for the AI era, enabling users to interact with data through natural language to effortlessly gain deep business insights and predictive analytics.

Your APIs, Now AI Tools. Build mcp servers in a minute.

Your APIs, Now AI Tools. Build mcp servers in a minute.

提供了一系列用于神岛引擎的 OpenAPI MCP (Model Context Protocol) 工具，帮助 AI 更高效地调用引擎接口。

An MCP server that helps generate high-quality commit messages based on file changes.

Custom Model Context Protocol (MCP) Server that provides AI-powered tools to assist game developers in tasks related to combat balancing, skill analysis, level pacing, and simulation.

AI Generate Presentation，use your theme sentence with request，or weblink ，or files，it will generate a prefect ppt，and then you can edit it in website。free office tools

A model-agnostic MCP Client-Server for .Net

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🪄 MCP server for programmatic creation and management of n8n workflows. Enables AI assistants to build, modify, and manage workflows without direct user intervention through a comprehensive set of tools and resources for interacting with n8n's REST API.

MCP-NixOS - Model Context Protocol Server for NixOS resources

Official Oxylabs MCP integration

A Rust implementation of the Model Control Protocol (MCP) server that integrates Tavily's powerful search and web content extraction capabilities. This server enables AI agents and LLM systems to perform real-time web searches and extract content from URLs via a standardized JSON-RPC interface, making it ideal for building AI tools.

This is an MCP (Model Context Protocol) server that connects your Limitless Pendant data to AI tools like Claude, Windsurf, and others via the Limitless API. It lets AI apps and agents interact with your Lifelog in a structured, programmable way.

MCP Server Typescript Template

A comprehensive collection of Model Context Protocol (MCP) servers categorized by functionality. This repository helps developers and AI enthusiasts discover and utilize the wide array of available MCP servers for various applications.

A lightweight, ready-to-use TypeScript template for building Model Context Protocol (MCP) servers. This template provides the essential scaffolding to create custom AI tools that can be seamlessly integrated with large language models.