IP Geolocation MCP Server alternatives

1

IP2Location.io MCP server

Geolocation lookup server for IP addresses via Model Context Protocol.

Implements a Model Context Protocol (MCP) server that provides comprehensive geolocation and network details for IPv4 and IPv6 addresses using the IP2Location.io API. Designed for integration with tools like Claude Desktop, it offers asynchronous processing and supports both free and API-key authenticated usage. It returns extensive data such as geographic location, ISP, domain information, proxy detection, and security insights.

12 8 MCP

2

IPLocate MCP Server

Comprehensive IP address geolocation and network intelligence via MCP.

Provides an MCP server interface to IPLocate.io, delivering detailed IP address intelligence including geolocation, network details, privacy detection, and abuse contact information. Easily integrates with popular MCP clients like Cursor and Claude Desktop for seamless IP lookups. Enables users to retrieve geographic, organizational, and security-related data associated with IPv4 and IPv6 addresses by connecting to the IPLocate.io API.

11 5 MCP

3

IP Find MCP Server

A Model Context Protocol server for IP location lookups by AI assistants.

IP Find MCP Server acts as a Model Context Protocol (MCP) server, allowing AI assistants to access geolocation data from the IP Find API. It connects the IP Find API with AI tools, enabling the retrieval of IP address location information in standardized contexts. Designed for integration with MCP clients such as the Claude Desktop App, it simplifies configuration and secure API key management. The server is certified by MCPHub.

2 6 MCP

4

Aiwen MCP Server for IP Geolocation

High-precision IP geolocation and risk analysis via MCP-compatible API server.

Provides an MCP (Model Context Protocol) server interface for Aiwen Technology’s high-precision IP location services, offering a range of geolocation, network, risk, and identity APIs compatible with AI context standards. Supports detailed IP information retrieval, including geolocation to city, district, or street level, network characteristics, industry classification, risk profiling, and user authenticity analysis. Enables seamless AI model integration and context-aware processing by following the MCP protocol.

4 3 MCP

5

GIS MCP Server

Empower AI with advanced geospatial operations via Model Context Protocol.

GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

70 21 MCP

6

MCP-Geo

Geocoding and reverse geocoding MCP server for LLMs.

MCP-Geo provides geocoding and reverse geocoding capabilities to AI models using the Model Context Protocol, powered by the GeoPY library. It offers various tools such as address lookup, reverse lookup from coordinates, distance calculations, and batch processing of locations, all accessible via standard MCP tool interfaces. Safety features like rate limiting and robust error handling ensure reliable and compliant usage of geocoding services. The server is compatible with environments like Claude Desktop and can be easily configured elsewhere.

28 4 MCP

7

NearbySearch MCP Server

IP-based nearby search via Google Places, packaged as an MCP tool.

NearbySearch MCP Server enables users to search for nearby places using their IP-based location, leveraging the Google Places API. Designed to run as an MCP server, it offers an accessible interface for location-aware searches with customizable radius and filter options. The tool supports integration with clients such as Claude Desktop and features a simple setup process using Python 3.10+. Ideal for use cases where model context needs to be enriched with location-based search results.

21 7 MCP

8

Aviationstack MCP Server

MCP server offering comprehensive endpoints for aviation and flight data.

Aviationstack MCP Server provides an MCP-compliant API that exposes tools to access real-time and scheduled flight data, aircraft details, random aircraft types, countries, and city information from the AviationStack API. It offers ready-to-use endpoints for airline-specific flight queries, airport schedules, and in-depth vehicle, country, and city data. The solution applies the Model Context Protocol by defining MCP tools as Python functions with standardized interfaces, designed for seamless integration into MCP-compatible environments. The server is built using Python, incorporates the FastMCP library, and is intended for easy deployment and use in application development.

11 4 MCP

9

ZoomEye MCP Server

Real-time cyberspace asset intelligence for AI assistants via Model Context Protocol.

ZoomEye MCP Server implements the Model Context Protocol (MCP) to provide network asset intelligence to AI assistants and development tools. It enables querying of global internet assets through ZoomEye's cyber asset search engine using structured parameters and dorks. The server includes features like caching, error handling, and compatibility with leading MCP environments, supporting real-time cyber asset data integration for various AI and developer platforms.

50 13 MCP

10

Web3 MCP

A Model Context Protocol server for unified blockchain data access.

Web3 MCP is a Model Context Protocol server that provides access to blockchain data through Ankr's Advanced API. It allows large language models to interact seamlessly with multiple blockchain networks such as Ethereum, BSC, Polygon, and Avalanche. With support for NFT, token, and blockchain query APIs, it enables users and AI agents to retrieve on-chain data, statistics, and analytics efficiently within an MCP context.

3 1 MCP

11

ORKL MCP Server

A Model Context Protocol server for threat intelligence queries via the ORKL API.

ORKL MCP Server is an implementation of the Model Context Protocol (MCP) designed for seamless integration with MCP-compatible applications. It enables secure querying of the ORKL API, offering tools to fetch and analyze threat reports, threat actors, and intelligence sources. The server streamlines access to detailed cyber threat data for security operations and research.

45 6 MCP

12

Shopify Storefront MCP Server

Seamless Shopify Storefront API access for AI assistants via Model Context Protocol

Enables AI assistants to interact with Shopify store data through standardized MCP tools. Offers endpoints for product discovery, inventory management, GraphQL queries, cart operations, and comprehensive customer data manipulation. Designed for easy integration with MCP-compatible AI and automated token handling. Simplifies secure connection to Shopify's Storefront API with minimal configuration.

5 5 MCP

13

Campertunity MCP Server

Model Context Protocol server for AI-driven camping and outdoor recreation data

Implements the Model Context Protocol (MCP) to provide AI models with structured access to camping and outdoor recreation data. Offers tools for searching, filtering, and booking campgrounds and sites based on a wide range of criteria. Enhances data accuracy with AI and aggregates information from multiple sources, enabling dynamic, real-time queries and bookings. Ideal for integrating intelligent camping experiences into AI-driven applications.

11 4 MCP

14

OpenStreetMap MCP Server

Enhancing LLMs with geospatial and location-based capabilities via the Model Context Protocol.

OpenStreetMap MCP Server enables large language models to interact with rich geospatial data and location-based services through a standardized protocol. It provides APIs and tools for address geocoding, reverse geocoding, points of interest search, route directions, and neighborhood analysis. The server exposes location-related resources and tools, making it compatible with MCP hosts for seamless LLM integration.

134 30 MCP

15

Stadia Maps MCP Server (TypeScript)

Bringing location services, geocoding, and mapping to AI assistants via Stadia Maps APIs.

Stadia Maps MCP Server (TypeScript) implements the Model Context Protocol to provide LLM-based assistants with structured access to Stadia Maps APIs. It enables AI tools to query for geocoding, routing, time zones, map generation, and isochrone calculations. Designed for integration with agentic tools and LLMs, the server enhances spatial intelligence and location-based features in AI workflows.

18 5 MCP

16

Climatiq MCP Server

MCP server providing AI assistants with real-time carbon emissions calculations via Climatiq API.

Climatiq MCP Server implements the Model Context Protocol to bridge AI assistants with the Climatiq API for precise carbon emissions calculations. It exposes a set of tools for various emissions scenarios, including electricity use, travel, freight, and more. The server generates resource URIs for detailed emission reports and provides natural language explanations on climate impact. Configuration is streamlined via environment variables, CLI tools, or files, supporting easy integration with platforms like Claude Desktop.

6 8 MCP

17

Weather MCP Server

A Model Context Protocol server delivering weather and air quality data via multiple transport modes.

Weather MCP Server is a Model Context Protocol (MCP) implementation that provides comprehensive weather and air quality information using the Open-Meteo API. It supports various transport modes including standard stdio for desktop clients, HTTP Server-Sent Events (SSE), and Streamable HTTP for modern web integration. The server offers both real-time and historical weather metrics, as well as timezone and time conversion functionalities. Installation and integration options are available for both MCP desktop clients and web applications.

26 22 MCP

18

Meta Ads MCP

AI-powered Meta Ads campaign analysis and management via MCP

Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.

342 86 MCP

19

National Parks MCP Server

Real-time access to U.S. National Parks data via the Model Context Protocol.

Provides an MCP-compliant API server for real-time information on U.S. National Parks. Offers endpoints to query park details, alerts, activities, visitor centers, campgrounds, and events. Designed for easy integration with AI agents and tools that utilize the Model Context Protocol for context management.

35 13 MCP

20

MCP-timeserver

A simple MCP server providing date and time information to agentic systems.

MCP-timeserver exposes current datetime information via a custom datetime URI scheme compatible with the Model Context Protocol. It allows agentic systems and chat REPLs to access timezone-aware current times and offers a tool to fetch the system's local time. The server is designed to integrate with MCP-based workflows by providing standardized datetime resources.

39 17 MCP

21

MCP Weather Server

Provides weather forecasts to LLMs via the Model Context Protocol.

MCP Weather Server enables large language models to access real-time, accurate weather forecasts by interfacing with the AccuWeather API. It offers both hourly and daily weather data, supporting metric and imperial units, and can be seamlessly integrated with MCP-compatible clients like Claude Desktop or supergateway. The server provides tools for retrieving weather based on location and settings, with robust configuration options. It is designed for straightforward deployment using Node.js and environment-configured API keys.

27 9 MCP

22

domain-lookup-mcp

MCP server for domain name lookup using RDAP and WHOIS.

Provides an MCP-compliant server that allows clients to perform domain name lookups via RDAP and WHOIS protocols. The tool is built in Go and can be directly integrated with any MCP client configuration. It automates the retrieval of domain registration details, streamlining the process of accessing authoritative domain information.

5 2 MCP

23

FirstCycling MCP Server

Professional cycling data API for conversational AI via MCP.

FirstCycling MCP Server provides structured access to comprehensive professional cycling data through the Model Context Protocol. It enables retrieval of cyclist profiles, race results, historical race data, and team information, supporting detailed sports analysis and research. The server integrates the FirstCycling API for real-time data scraping and exposes specialized MCP tools for querying race and rider statistics.

17 8 MCP

24

exif-mcp

Offline MCP server for fast, flexible image metadata extraction.

exif-mcp is an MCP server enabling on-demand reading of image metadata for LLMs or human users, operating fully offline. Built with TypeScript and utilizing the exifr library, it rapidly extracts multiple metadata segments from images without relying on external tools. The server exposes a standardized set of tools for accessing EXIF, GPS, XMP, ICC, IPTC, and other metadata. It supports various input formats and is designed for secure and efficient integration with Model Context Protocol workflows.

24 6 MCP

25

Strava MCP Server

Bridge Strava data and tools to LLMs via the Model Context Protocol.

Strava MCP Server provides a standardized MCP interface to access and manage Strava data, exposing activities, profiles, segments, routes, and statistics as AI-consumable tools. Implemented in TypeScript, it enables large language models to interact with Strava's extensive API through natural language prompts and structured MCP endpoints. The server supports fetching, viewing, and exporting data including activities, heart rate, power, and routes, making advanced context-driven integrations possible for AI applications.

180 27 MCP

26

Shodan MCP Server

Query Shodan network intelligence and CVEDB via standardized MCP integration.

Shodan MCP Server provides an MCP-compliant interface to query the Shodan API and Shodan CVEDB for network intelligence, device discovery, and vulnerability data. It integrates with platforms like Claude Desktop, enabling structured, formatted results for seamless AI workflows. Key functionalities include IP reconnaissance, DNS operations, vulnerability lookups, and internet-connected device searches. Easy installation options are available via npm, Smithery, or from source.

83 16 MCP

27

GeekNews MCP Server

Fetches and serves GeekNews articles and weekly news via Model Context Protocol.

GeekNews MCP Server provides an MCP-compliant server to extract articles and weekly news from GeekNews, using Python and BeautifulSoup for web scraping. It supports scheduled automatic parsing and caching of data to minimize server load and ensure efficient retrieval. The server exposes tools to obtain articles by type and weekly news, offering structured metadata for each item. Integration is facilitated via Smithery and is compatible with the MCP ecosystem.

16 6 MCP

28

MCP Internet Speed Test

Standardized internet speed and network performance testing for AI models via MCP.

MCP Internet Speed Test implements the Model Context Protocol (MCP) to enable AI models and agents to measure, analyze, and report diverse network performance metrics through a standardized interface. It supports download, upload, latency, jitter, and cache analysis, along with multi-CDN and geographic location detection. By offering an MCP-compatible server with robust testing features, it allows seamless integration with LLMs and AI tools for real-time network assessment and diagnostics.

11 7 MCP

29

mcp-git-ingest

MCP server for exploring GitHub repository structures and key files.

mcp-git-ingest is a Model Context Protocol (MCP) server designed to programmatically read and visualize GitHub repository structures and retrieve important file contents. It leverages fastmcp for server functionality and gitpython for repository operations, ensuring robust error handling and cleanup. The tool offers commands to generate directory trees and fetch specified files, making it suitable for integrating repository context into AI workflows.

286 38 MCP

30

Himalayas Remote Jobs MCP Server

Real-time remote job and company search via MCP for AI assistants.

Provides a public Model Context Protocol (MCP) server that enables AI assistants to access and search thousands of remote job listings and company information from Himalayas.app. Offers structured tools for advanced job and company search, including filters for keywords, location, and remote eligibility. Supports integration with popular AI desktops like Claude, Cursor, and Windsurf through simple configuration. Features OAuth authentication for secure access and real-time results.

12 2 MCP

31

Grafana-Loki MCP Server

A FastMCP server for querying Grafana Loki logs via the Model Context Protocol.

Grafana-Loki MCP Server is a FastMCP-compliant server that enables querying and formatting of Grafana Loki logs using the Model Context Protocol (MCP). It supports various transport protocols (stdio and SSE) and provides tools for querying logs, retrieving labels and label values, and formatting log results in multiple output formats. The server integrates with Grafana's API, offering both command-line and environment variable configuration options for flexibility. Designed for seamless integration into AI model context workflows, it enhances log retrieval and processing in context-aware applications.

18 3 MCP

32

mcp-datetime

Datetime formatting service MCP server for Claude Desktop App

mcp-datetime provides a datetime formatting service implemented as an MCP server for integration with the Claude Desktop Application. It offers generation of current date and time strings in various formats, including standard, Japanese, ISO, and filename-friendly outputs. The server exposes a 'get_datetime' tool for easy retrieval of formatted dates and times with support for timezone handling and multi-language output. Seamless integration and Python packaging facilitate installation and extensibility.

25 12 MCP

33

Chainlist MCP Server

Fast, structured EVM chain info for AI agents via the Model Context Protocol

Chainlist MCP Server enables AI agents and MCP-compatible clients to quickly access and search verified EVM blockchain data. It sources data from Chainlist.org and provides efficient REST-like tools for retrieving details by chain ID or searching by keyword. The server outputs structured Markdown responses, supporting AI context integration with tabulated RPC endpoints and explorers for clarity.

2 2 MCP

34

Globalping MCP Server

Enable AI models to run network tests globally via natural language.

Globalping MCP Server implements the Model Context Protocol, enabling AI models to interface with a global network measurement platform through natural language. It allows AI clients to perform network diagnostic tests such as ping, traceroute, DNS, MTR, and HTTP from thousands of locations worldwide. The server offers AI-friendly context handling, detailed parameter descriptions, comparative analysis of network performance, and supports secure authentication using OAuth or API tokens.

33 3 MCP

35

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

36

cryptopanic-mcp-server

Provides real-time cryptocurrency news to AI agents via Model Context Protocol.

cryptopanic-mcp-server delivers up-to-date cryptocurrency news to AI agents by integrating with the CryptoPanic API. It exposes an MCP-compliant server with a tool for fetching news or media headlines, supporting customization via API keys and configuration files. The implementation is intended for streamlined context integration into AI workflows, enhancing agent awareness with current crypto market updates.

59 23 MCP

37

Blockchain MCP powered by Tatum

MCP server for universal blockchain data access across 130+ networks.

Blockchain MCP powered by Tatum is a Model Context Protocol (MCP) server that enables large language models (LLMs) to read and write blockchain data across more than 130 networks. It provides unified access to both the Tatum Blockchain Data API and direct RPC gateways, supporting tools for retrieving balances, portfolios, transactions, and more. The platform is designed for seamless integration via API key and configurable MCP client setups, making it easier to build blockchain-aware AI solutions. Comprehensive documentation and extensive network compatibility facilitate robust development and scalability.

12 10 MCP

38

Crypto Projects MCP Server

AI-accessible server that delivers comprehensive cryptocurrency project data in structured formats.

Crypto Projects MCP Server provides AI agents with detailed cryptocurrency project data sourced from Mobula.io, accessible via the Model Context Protocol (MCP). It offers both raw JSON and formatted Markdown outputs, making project information easy to parse and consume by large language models. The server features language customization and returns organized details including price, market data, tokenomics, links, investors, and more. Integration with tools like Claude Desktop is supported for seamless AI interactions.

0 10 MCP

39

Dune Analytics MCP Server

Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

31 8 MCP

40

books-mcp-server

A server implementation supporting Model Context Protocol integration with cherry-studio.

books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

5 2 MCP

41

Web3 Jobs MCP Server

AI-ready MCP server delivering curated, real-time Web3 job listings.

Web3 Jobs MCP Server provides real-time access to curated Web3 job listings from web3.career through a Model Context Protocol (MCP) interface, enabling intelligent job discovery for AI agents. The server supports advanced filtering by location, remote status, job tag, and result limits, and returns results in Markdown format. It enables the generation of natural language prompts for job searches, facilitating seamless integration with AI platforms such as Claude Desktop. Designed for Python 3.10+, it offers flexible deployment and configuration options.

4 3 MCP

42

Pica MCP Server

A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

8 5 MCP

43

Codex MCP Server

An MCP-compatible server delivering enriched blockchain data for AI models.

Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

20 4 MCP

44

Octocode MCP

Enterprise-grade AI context server for codebase research and analysis.

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

577 45 MCP

45

MCP Server for Iaptic

A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

5 7 MCP

46

cloudflare/mcp-server-cloudflare

Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

2,919 251 MCP

47

Godot MCP

A Model Context Protocol (MCP) server implementation using Godot and Node.js.

Godot MCP implements the Model Context Protocol (MCP) as a server, leveraging the Godot game engine along with Node.js and TypeScript technologies. Designed for seamless integration and efficient context management, it aims to facilitate standardized communication between AI models and applications. This project offers a ready-to-use MCP server for developers utilizing Godot and modern JavaScript stacks.

1,071 124 MCP

48

PythonAnywhere Model Context Protocol Server

Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

8 4 MCP

49

MXCP

Enterprise-Grade Model Context Protocol Framework for AI Applications

MXCP is an enterprise-ready framework that implements the Model Context Protocol (MCP) for building secure, production-grade AI application servers. It introduces a structured methodology focused on data modeling, robust service design, policy enforcement, and comprehensive testing, integrated with strong security and audit capabilities. The framework enables rapid development and deployment of AI tools, supporting both SQL and Python environments, with built-in telemetry and drift detection for reliability and compliance.

49 6 MCP

50

Firefly MCP Server

Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

15 6 MCP

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