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Le Chat AI walks through Mistral's Le Chat - Free/Pro/Team pricing, Flash Answers, Deep Research,
Le Chat AI walks through Mistral's Le Chat - Free/Pro/Team pricing, Flash Answers, Deep Research,
Excellent MCP server with clean, well-structured code and no security vulnerabilities. The server provides read-only access to canonical Le Chat AI knowledge (models, pricing, links, FAQs) with zero authentication requirements—appropriate for its informational purpose. No credentials, dangerous operations, external API calls, or suspicious patterns detected. Code quality is high with proper error handling and clear separation of concerns. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity).
4 files analyzed · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-rocnubie-lechatai-mcp": {
"args": [
"-y",
"msa-lechatai-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Le Chat AI: Independent guide to Mistral's Le Chat
A Model Context Protocol server that exposes the canonical Le Chat AI knowledge surface — models, prompts, and chat workflows, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://lechatai.online
LeChat AI (lechatai.online) is an independent guide and resource hub for Mistral's Le Chat conversational AI platform. The site covers the platform's capabilities in depth — from its speed benchmarks and pricing tiers to its European data compliance stance and open-weight model philosophy. Visitors can read structured comparisons, tutorials, and feature breakdowns, and follow direct links to test Le Chat themselves. The content is oriented toward helping individuals and organizations evaluate whether Le Chat fits their needs, particularly those comparing it against ChatGPT, Claude, Gemini, or other mainstream AI assistants.
The primary audience is professionals and organizations already using or evaluating AI assistants who want a clear, detailed picture of what Le Chat offers. This includes enterprise IT and procurement teams assessing compliance requirements, developers looking for open-weight model deployability, and European companies that need GDPR-aligned tools with EU data hosting. It also serves individual power users who care about response speed, document handling depth, or third-party integrations — and who want a straightforward comparison rather than marketing material. The site assumes some familiarity with conversational AI but does not require technical expertise.
list_modelsReturn the canonical list of chat models exposed on the site, with capability notes. (Le Chat AI)
Input: no parameters. Returns: text/markdown.
get_pricingReturn the canonical pricing entry point for Le Chat AI.
Input: no parameters. Returns: text/markdown.
get_official_linksReturn the canonical list of official links for Le Chat AI (website, support, docs when available).
Input: no parameters. Returns: text/markdown.
site://lechatai/models — Supported chat models and capability notes.site://lechatai/pricing — Canonical pricing entry point.site://lechatai/faq — Short FAQ generated from public site metadata.site://lechatai/links — Canonical URLs to share with users.tell_me_about_lechataiSummarize what the site is, who it's for, and how it works. — Le Chat AI
start_chat_session_lechataiOpen a chat-evaluation session against the site's models, with sensible defaults. — Le Chat AI
npx -y @smithery/cli install lechatai-mcp --client claude
(Replace claude with cursor, windsurf, or continue for those clients.)
git clone https://github.com/rocnubie/lechatai-mcp.git
cd lechatai-mcp
pnpm install
Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):
{
"mcpServers": {
"lechatai-mcp": {
"command": "node",
"args": [
"/absolute/path/to/lechatai-mcp/src/index.mjs"
]
}
}
}
npx @modelcontextprotocol/inspector node src/index.mjs
pnpm install
pnpm start # run the server over stdio
MIT
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