広告掲載
MCP.so
ログイン

Streamlit LangChain MCP Server GitHub

@ryokosuge

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

ryokosuge

Streamlit LangChain MCP Server GitHub について

概要はまだありません

#streamlit#langchain#mcp-server#github#personality-analysis

Streamlit LangChain MCP Server GitHub の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Streamlit LangChain MCP Server GitHub のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Streamlit LangChain MCP Server GitHub?

Streamlit LangChain MCP Server GitHub is a Streamlit‑based application that performs personality diagnosis based on a GitHub user’s recent pull requests. It integrates LangChain, AWS services, and the Model Context Protocol (MCP) to interact with GitHub data and generate insights about the user’s characteristics.

How to use Streamlit LangChain MCP Server GitHub?

Clone the repository, start a Dev Container (VS Code recommended), and run make dev. Open http://localhost:8501 in a browser, enter a GitHub username, and click “診断する” (diagnose) to analyze the user’s personality from their pull requests.

Key features of Streamlit LangChain MCP Server GitHub

  • GitHub personality diagnosis from recent pull requests
  • User‑friendly Streamlit interface for input and results
  • LangChain for natural language processing and tool chains
  • MCP server integration with GitHub data
  • Dev Container support for reproducible environments
  • Code linting and formatting with ruff

Use cases of Streamlit LangChain MCP Server GitHub

  • Assess a developer’s personality traits based on their public PR activity
  • Provide a quick, interactive personality profile for recruitment or team insights
  • Demonstrate LangChain and MCP integration in a real‑world Streamlit app
  • Experiment with personality analysis via GitHub data

よくある質問

1

What does the application require to run?

A Dev Container‑compatible environment (VS Code recommended) is required.

2

How do I start the application?

After cloning the repo and launching the Dev Container, run `make dev` and open `http://localhost:8501`.

3

What data does the analysis use?

It analyzes a GitHub user’s recent pull requests to generate a personality diagnosis.

4

What technologies is the server built on?

The project uses LangChain, AWS services, Model Context Protocol, Streamlit, and the `ruff` linter.

5

Can I use this without a Dev Container?

The README only describes Dev Container usage; no alternative setup is mentioned.

コメント

「AI とエージェント」の他のコンテンツ

Lumify Sports Intelligence

Lumify

Agent-ready sports intelligence API: live scores, odds, line movement, public betting splits, and explainable bet confidence — via 16 MCP tools at https://lumify.ai/mcp. Get a free key instantly — no signup, email, or ca

TruVerifAI Panel-review

TruVerifAI

TruVerifAI's Panel Review is the guardian agent for AI's highest-stakes coding decisions: four frontier models argue over an AI coding agent's riskiest designs, diffs, and commits before they execute, with local review g

1

scvd.store

seancrecord

scvd.store is an evidence observatory for agentic commerce. Independent signed observation of what other people's endpoints, artifacts and payments actually did among other things. USDC on Base, Arbitrum One, World Chain

2

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148

DatePhotos.AI

Jacob Yang

Free MCP server for dating profiles. Look up the official photo rules and AI-photo policies of Tinder, Hinge and Bumble — photo limits, verification, what gets you banned — each quoted from the app's own guidelines wi

広告掲載