Model Context Protocol servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol, so the agent can actually take action, not just write code.
1084 servers
A Cli, a webUI, and a MCP server for the Z-Image-Turbo text-to-image generation model (Tongyi-MAI/Z-Image-Turbo and its variants). This tool is designed to run efficiently on local machines for Windows/Mac/Linux users. It features specific optimizations for NVIDIA (CUDA), AMD on Linux (ROCm), Intel (XPU), and Apple Silicon (MPS), falling back to CPU if no compatible GPU is detected. Hybrid Interfa
An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time. - Portfolio Management: Add and track cryptocurrency holdings with real-time Binance prices. - Price Retrieval: Fetch current prices for any Binance trading pair (e.g., BTC/USDT). - Value History: Generate visual charts of portfolio value over ti
A Model Context Protocol (MCP) server that automates optimization and analysis using Optuna. The Optuna MCP Server can be used in the following use cases, for example. - Automated hyperparameter optimization by LLMs - Interactive analysis of Optuna's optimization results via chat interface - Optimize input and output of other MCP tools For details, see the Examples section. The Optuna MCP server c
A Model Context Protocol (MCP) server for LNbits Lightning Network wallet integration. This server allows AI assistants to interact with LNbits through a comprehensive set of tools for wallet management, payments, invoices, and extensions. Once configured, you can interact with your LNbits wallet through your favorite AI assistant. - ⚡ Core Wallet Operations: Get wallet details, balance, and trans
This document covers the set up and use of a generic ODBC server for the Model Context Protocol (MCP), referred to as an mcp-odbc server. It has been developed to provide Large Language Models with transparent access to ODBC-accessible data sources via a Data Source Name configured for a specific ODBC Connector (also called an ODBC Driver). This MCP Server for ODBC is a small TypeScript layer buil
NOTE: This is an unofficial implementation of MCP Server for ZapCap. An MCP (Model Context Protocol) server that provides tools for uploading videos, creating processing tasks, and monitoring their progress through the ZapCap API. - ZapCap API key You can install uv from here: https://docs.astral.sh/uv/ You can get api key from ZapCap API after registation at https://zapcap.ai/ in their platform h
DevDocs-MCP is a Model Context Protocol (MCP) server that provides version-pinned, deterministic documentation sourced from DevDocs.io to AI assistants (Claude, RooCode, Cline, Copilot etc.). It acts as a local Documentation Intelligence Layer, ensuring your agent always has the correct API context without network latency or training data drift. This server follows the proposed MCP server standard
A Model Context Protocol server implementation for Last9 that enables AI agents to seamlessly bring real-time production context — logs, metrics, and traces — into your local environment to auto-fix code faster. - View demo announcement blog post - Installation - Configuration - Tools Documentation - Development You can connect to Last9 MCP in two ways: This is the easiest and cleanest setup. You
if macbook or linux If the network is slow, you can set up a domestic mirror source. Method 1: On the setting page of cherry-studio, click on the MCP server, then click "Add Server", and subsequently configure it on the page. Method 2: Use the configuration parameters
Academic-focused graph analysis in your AI conversations - The first and only NetworkX MCP server specialized for academic research and citation analysis. NetworkX MCP Server enables Large Language Models (like Claude) to perform sophisticated academic research and citation analysis directly within conversations. Built specifically for researchers, academics, and students who need to analyze citat
A lightweight, zero-config MCP server for documentation projects. Give it an llms-full.txt file (local path or URL) and optional OpenAPI/AsyncAPI directories. It also hellps you to build one if you do not have it. It registers only the MCP tools that make sense for what you've provided — no code changes, no hard-coded paths. - Why it's different - When to use this — and when not to - How it works
A Model Context Protocol (MCP) server for LeetCode that enables AI assistants to access LeetCode problems, user information, and contest data. - 🚀 Fast access to LeetCode API - 🔍 Search problems, retrieve daily challenges, and check user profiles - 🏆 Query contest data and rankings - 🧩 Full support for MCP tools and resources - 📦 Provides both CLI and programmable API To install mcp-server-le
MCP Server for the VictoriaMetrics. To install VictoriaMetrics Server for Claude Desktop automatically via Smithery: Description: Write data to the VictoriaMetrics database. Input Parameters: Description: Import Prometheus exposition format data into VictoriaMetrics. Input Parameters: Description: Query time series data over a specific time range. Input Parameters: Description: Query the current v
Deep Research for crypto - free & fully local 🧠 - Comprehensive Research: Gather detailed information about any cryptocurrency token - Multi-Source Analysis: Research across multiple sources including CoinGecko, CoinMarketCap, DeFiLlama, and more - Structured Reporting: Generate detailed reports covering technical fundamentals, market data, social sentiment, and more - Resource Management: Automa
You've had thousands of AI conversations. You can't search any of them. ⬆️ Auto-playing preview — click here for full video with audio Documentation · Quickstart · ❓ FAQ · All 25 Tools If this is useful, a ⭐ helps others find it. Restart Claude. 25 tools available. Keyword search works immediately. Alternative: pip install Setup for specific clients After setup, just say "use brain" in an
MCP server to look up domain names via rdap(1) and then whois(1). - Checkout the repo - build it: go build ./... - Point your MCP client at the binary:
A Model Context Protocol (MCP) server for managing and interacting with the Flowcore Platform. If you're curious about how it works, you can check out our video, where we set it up and demonstrate what it can do. You can run this package directly using npx without installing it: Replace and with your Flowcore username and PAT (Personal Access Token). If you prefer to install the package globally:
A Model Context Protocol (MCP) server providing character-level index-based string manipulation. Perfect for test code generation where precise character positioning matters. LLMs generate text token-by-token and struggle with exact character counting. When generating test code with specific length requirements or validating string positions, you need precise index-based tools. This MCP server sol
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools. Before setting up the MCP server, we recommend you read our security best practices to understand t
- 🚀 99% fewer API calls for batch operations (150-300 → 1) - ⚡ 88% token reduction with compact response formats - 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation - 🔄 Smart Caching - 70-85% API call reduction - 🛡️ Safety Features - Multi-season confirmation, validation - 📦 4 Powerful Tools - Consolidated from 8 for clarity - 🤖 Automated Security Scanning - Dependabot for dependenc
A lightweight MCP (Model Context Protocol) server for ODBC built with FastAPI, pyodbc, and SQLAlchemy. This server is compatible with Virtuoso DBMS and other DBMS backends that implement a SQLAlchemy provider. - Get Schemas: Fetch and list all schema names from the connected database. - Get Tables: Retrieve table information for specific schemas or all schemas. - Describe Table: Generate a detaile
A Model Context Protocol (MCP) server providing geospatial tools for AI agents. Enables Claude, GPT, and other LLMs to perform geocoding, routing, spatial analysis, and file operations. - Geocoding: Convert addresses to coordinates and vice versa (via Nominatim/OSM or Pelias) - Batch Geocoding: Geocode multiple addresses in a single request (up to 10) - Elevation Data: Get altitude for points and
mcp-ragchat An MCP server that adds RAG-powered AI chat to any website. One command from Claude Code. Tell Claude Code "add AI chat to mysite.com" and it will crawl your content, build a local vector store, spin up a chat server, and hand you an embed snippet. No cloud infra. No database. Just one API key. 1. Clone and build 2. Configure Claude Code (~/.claude/mcp.json) Open Claude Code and say: C
A TypeScript-based Model Context Protocol (MCP) server for Plugwise smart home integration with automatic network discovery. - 🤖 AI Agent Mode: Natural language control via built-in AI agent - 📡 JSON-RPC Support: Programmatic API for scripting and automation - 🔍 Automatic Network Scanning: Discovers all Plugwise hubs on your network - 🔐 Credential Management: Stores hub passwords securely from