LibreChat

Name: LibreChat
Rating: 82 (1 reviews)
Author: danny-avila

MCP Server

danny-avila/LibreChat

LibreChat is a self-hosted, open-source AI chat interface that unifies multiple LLM providers, offering advanced agent capabilities, file analysis, and enterprise security controls.

42k 8.7kMITUpdated 2026-08-13

Great

View on GitHub Open source file

Overview

LibreChat is an all-in-one conversational AI platform designed as an enhanced, open-source alternative to proprietary interfaces like ChatGPT. It connects with major AI providers including OpenAI, Anthropic, Google, and local models via Ollama, while supporting robust multi-user authentication, Model Context Protocol (MCP) servers, sandboxed code execution, and customizable agents with artifact generation.

Capabilities

▸Multi-model AI endpoint integration
▸Model Context Protocol (MCP) support
▸Secure sandboxed code execution interpreter
▸Custom agents and subagents creation
▸Web search and content reranking
▸Multi-user authentication and admin panel

Best for

Deploying a centralized, private AI chat interface for teams or organizations, Running automated tasks and subagents with MCP and code interpreter support, Switching between multiple AI models and custom endpoints from a single web UI

Works with

CursorClaude CodeChatGPT

Evoa Score breakdown= Σ (score × weight)

Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 — AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ

Documentation12%51 → +6.1

ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量

Security15%50 → +7.5

危険・不審な挙動が無いか。 — AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 — AIによる独自性判定

Popularity8%100 → +8.0

コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）

Compatibility5%75 → +3.8

対応AIエージェントの広さ。 — AIによる対応エージェント判定

Weighted total82.4 / 100

ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。ランキングはこのScoreのみで決まり、広告で変わりません。算出方法の詳細 →

Security considerations

Ensure proper authentication mechanisms, secure environment variables, and correct JWT caching configurations are maintained to prevent unauthorized access in multi-user deployments.