Customer Intelligence & Segmentation
Analyze customer data to make segmentation and predict which customer to focus on for more sales.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http customer-intelligence-segmentation 'https://customer-tiering-mcp-latest.saifs.ai/mcp'{
"mcpServers": {
"customer-intelligence-segmentation": {
"type": "http",
"url": "https://customer-tiering-mcp-latest.saifs.ai/mcp"
}
}
}Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
SAIFS AI — MCP servers
Hosted Model Context Protocol servers from SAIFS AI for sales, inventory, marketing, HR, education, logistics, collections, procurement, media generation and travel. Every server is remote (Streamable HTTP) with OAuth 2.1 sign-in, so there is nothing to install — add the URL to any MCP client.
All servers are published in the official MCP Registry
under the DNS-verified ai.saifs namespace.
| Server | Registry name | What it does |
|---|---|---|
| Customer Intelligence & Segmentation | ai.saifs/customer-intelligence | Segment customers into A/B/C/D tiers, flag at-risk accounts and build a daily sales call list. |
| Demand Forecasting | ai.saifs/demand-forecasting | Forecast product demand from historical sales and market signals. |
| Inventory Intelligence & Optimizer | ai.saifs/inventory-intelligence-optimizer | Work out what to order, when to reorder, what is overstocked and how much cash is tied up in stock. |
| Lead Intelligence | ai.saifs/lead-intelligence | Score leads to identify high-potential prospects and prioritize sales outreach. |
| Marketing Intelligence & Optimization | ai.saifs/marketing-intelligence | Channel ROI and budget mix, product bundles, A/B test verdicts and CAC/LTV from marketing data. |
| Hiring Fairness & Selection ROI | ai.saifs/hiring-fairness | Detect hiring adverse impact and estimate whether a selection method is worth its cost. |
| Media Generator — Images, Videos & Audios | ai.saifs/media-generator-images-videos | Generate marketing images, logos, videos, music and speech for campaigns, products and brand assets. |
| Synthetic Data — Random User | ai.saifs/synthetic-data-random-user | Generate synthetic user data for testing, demos and development without real personal data. |
| Indian Railways IRCTC | ai.saifs/indian-railways-irctc | Look up Indian Railways trains, routes, live running status, station boards and PNR status. |
| Scientific Calculator | ai.saifs/scientific-calculator | Exact arithmetic, algebra, calculus, physics, chemistry and finance with a checkable formula. |
| Procurement & Supplier Selection | ai.saifs/procurement-and-supplier-selection | Choose and rank suppliers, size orders and classify spend from delivery and purchase data. |
| Learning Optimizer | ai.saifs/learning-optimizer | Schedule spaced reviews and exam study plans from each learner's forgetting curve. |
| Route & Logistics Optimizer | ai.saifs/route-optimizer | Plan vehicle routes, job assignments and load packing from stops, fleet and constraints. |
| Assessment Intelligence | ai.saifs/assessment-intelligence | Analyse tests for item quality, true ability, reliability and learner mastery. |
| Mathematical Code Execution | ai.saifs/code-execution | Run sandboxed Python for calculations and PDFs; no other languages, installs or network. |
| Collections Optimizer | ai.saifs/collections-optimizer | Prioritise overdue accounts by recovery uplift and recommend a compliant contact strategy. |
| Mastery Pathing | ai.saifs/mastery-pathing | Map prerequisites, track mastery and recommend the next topic each learner is ready for. |
Quick start
- Open the folder for the server you want and copy its URL.
- Add it to your client — VS Code / Copilot (
mcp.json), Claude (Settings → Connectors), Claude Code, Cursor or any MCP client. - Sign in when the client prompts you.
Each folder's README has client-specific config, the tool list and example prompts.
This repository
This repo holds the public listing for each server: README, server.json (the registry manifest) and
install config. The servers themselves are hosted by SAIFS AI. New versions are published to the
official MCP Registry by .github/workflows/publish-mcp.yml.
Support
Open an issue or visit https://saifs.ai.
License
The documentation and configuration in this repository are MIT licensed. Use of the hosted services is subject to SAIFS AI's terms.
Questions fréquentes
Qu'est-ce que Customer Intelligence & Segmentation ?
Analyze customer data to make segmentation and predict which customer to focus on for more sales.
Comment installer Customer Intelligence & Segmentation ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http customer-intelligence-segmentation 'https://customer-tiering-mcp-latest.saifs.ai/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Customer Intelligence & Segmentation ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
Customer Intelligence & Segmentation est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Customer Intelligence & Segmentation ?
Il est publié par Saify-Technologies. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.