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ENJA

langchain-mcp-client

MCP Server

guinacio/langchain-mcp-client

A Streamlit-based application providing a user interface for connecting to Model Context Protocol (MCP) servers and interacting with them using various LLM providers.

49 15MITUpdated 2026-07-31
View on GitHubOpen source file

Overview

This tool acts as a client interface built with Streamlit, enabling users to interact seamlessly with multiple MCP servers and LLM providers such as OpenAI, Anthropic, Google, and Ollama. It supports advanced features like file attachments, real-time response streaming, short-term and persistent memory management, and specialized reasoning model parameters.

Capabilities

  • ▸Multi-provider LLM support (OpenAI, Anthropic, Google, Ollama)
  • ▸MCP server integration for external tool execution
  • ▸Real-time token-by-token streaming
  • ▸Multimodal file attachments (images, PDFs, text)
  • ▸Advanced memory management (session and persistent SQLite)
  • ▸Tool testing interface with auto-generated parameter forms

Best for

Interacting with multiple LLM providers through a unified chat interface, Testing and debugging Model Context Protocol (MCP) tools with custom parameters, Maintaining conversation history across sessions with SQLite persistent storage

Evoa Score breakdown= Σ (score × weight)
71
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%85 → +12.8

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%40 → +4.8

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%70 → +7.0

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%48 → +3.8

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

Compatibility5%0 → +0.0

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 total70.9 / 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

The application is designed for local-first use without multi-user authentication. Exposing it publicly requires an external reverse proxy with proper authentication. Outbound URL validation blocks link-local and cloud-metadata addresses by default.

Categories

AI EngineeringProductivityAutomation

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.