AgentIndex icon
AgentIndex
open-meteo-mcp logo
open-meteo-mcp
★ 72
vs
mcp-glpi logo
mcp-glpi
★ 33

open-meteo-mcp vs mcp-glpi

open-meteo-mcp: Open-Meteo MCP Server is a comprehensive tool that integrates Open-Meteo weather APIs with Large Language Models, enabling AI assistants to access a wide range of meteorological data. It supports various weather models, historical data, air quality, and advanced forecasts, deployable via npm or Docker.; mcp-glpi: MCP Server for GLPI exposes GLPI's IT Service Management functionalities, including tickets, assets, and statistics, to AI assistants via a structured API. It offers solid foundations with robust error handling, real multi-criteria search, and dynamic field mapping to ensure compatibility and ease of use for LLMs.

01

TL;DR

open-meteo-mcp logo
open-meteo-mcpAPI Integration · ★ 72

Retrieving current or future weather forecasts for any location.

Read open-meteo-mcp full review →
mcp-glpi logo
mcp-glpiAPI Integration · ★ 33

Automating IT service ticket management, including creation, updates, and assignments.

Read mcp-glpi full review →
02

Side-by-Side Comparison

Field
open-meteo-mcp logoopen-meteo-mcp
mcp-glpi logomcp-glpi
Category
API Integration
API Integration
Stars
★ 72
★ 33
License
MIT
MIT
Install Command
npm install -g open-meteo-mcp-server
git clone https://github.com/GMS64260/mcp-glpi.git && cd mcp-glpi && npm install
Updated
2d ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
MCP, LLM, Weather API
MCP, GLPI, ITSM
03

Features

open-meteo-mcp logoopen-meteo-mcp
01Access to diverse Open-Meteo APIs (forecast, archive, air quality, marine, elevation, geocoding).
02Support for specialized global and regional weather models (DWD ICON, NOAA GFS, ECMWF, etc.).
03Advanced forecasting capabilities including flood, seasonal, ensemble, and climate projections.
04Designed for seamless integration with Large Language Models via Model Context Protocol (MCP).
mcp-glpi logomcp-glpi
01Robust HTTP layer with auto re-authentication, structured errors, and retry mechanisms.
02Advanced multi-criteria search capabilities for GLPI data.
03Dynamic field mapping to ensure compatibility across GLPI versions.
04High-level reporting and statistics for tickets and assets.
05Comprehensive ITIL coverage, including ticket lifecycle management and validations.
04

Use Cases

open-meteo-mcp logoopen-meteo-mcp
↳Retrieving current or future weather forecasts for any location.
↳Accessing historical weather data for specific periods and regions.
↳Monitoring air quality, marine conditions, and flood risks.
↳Obtaining long-range seasonal forecasts and climate change projections.
↳Integrating weather data into LLM applications for context-aware responses.
mcp-glpi logomcp-glpi
↳Automating IT service ticket management, including creation, updates, and assignments.
↳Retrieving detailed information on GLPI assets, tickets, and knowledge base articles.
↳Generating reports and statistics on GLPI data, such as ticket status over time.
↳Enabling AI assistants (like Claude) to interact with and manage GLPI resources.
FAQ

FAQ

What is the difference between open-meteo-mcp and mcp-glpi?
Both open-meteo-mcp and mcp-glpi are in the API Integration category. open-meteo-mcp has 72 stars, while mcp-glpi has 33 stars.
Which is better, open-meteo-mcp or mcp-glpi?
The best choice depends on your use case. Choose open-meteo-mcp if Retrieving current or future weather forecasts for any location., and mcp-glpi if Automating IT service ticket management, including creation, updates, and assignments..
Is open-meteo-mcp free or open source?
Yes, open-meteo-mcp is open source on GitHub (MIT).
Is mcp-glpi free or open source?
Yes, mcp-glpi is open source on GitHub (MIT).
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Alternatives to open-meteo-mcp →Alternatives to mcp-glpi →open-meteo-mcp details →mcp-glpi details →