evantahler
MCP Serverevantahlerpublic

local deep research

一个用于数据分析和研究的项目环境,支持 GitHub Codespaces。

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Dockerfile
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About This Server

一个用于数据分析和研究的项目环境,支持 GitHub Codespaces。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Local Deep Research

A data analysis and research project environment.

Development Environment

This project is set up to use GitHub Codespaces, so you can just run the LLM and not worry about your local environment getting f'd up. Be sure to open this project 'within a codespace' locally or remote.

Using GitHub Codespaces

  1. Click the "Code" button on the GitHub repository
  2. Select "Create codespace on main"
  3. Wait for the codespace to be created and initialized

The codespace will automatically:

  • Set up a Python 3.11 environment
  • Install all required dependencies from requirements.txt
  • Configure VS Code with useful extensions for data analysis

Setup Arcade

Get MCP working: https://docs.arcade.dev/home/mcp/claude-desktop-client

Setup

Sample data is available at https://github.com/JannikArndt/PostgreSQLSampleDatabase/tree/master

Run the following command to start the MCP server:

docker run -it -p 8000:8000 \
  -e DATABASE_URI=postgresql://evan@localhost:5432/bun \
  crystaldba/postgres-mcp --access-mode=unrestricted --transport=sse

Quick Start

1

Clone the repository

git clone https://github.com/evantahler/local-deep-research
2

Install dependencies

cd local-deep-research
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerevantahler
Repolocal-deep-research
LanguageDockerfile
License-
Last fetched8/10/2025

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