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Django Telescope MCP server

by raisiqueira·io.github.raisiqueira/django-telescope·v0.1.2·113 stars
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A Model Context Protocol (MCP) server for Django applications, inspired by Laravel Boost

A89/100grade A
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Safety scan
A89/100

full report

Adoption
Growing

113 stars15 downloads/wk

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Django Telescope tools (9)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • application_info

    Get Django application information including versions, installed apps, and database configuration.

  • database_schema

    Get the complete database schema including tables, columns, indexes, and foreign keys.

  • get_absolute_url

    Get the absolute URL for a specific model instance.

  • get_setting

    Get a Django setting value using dot notation.

  • list_management_commands

    List all available Django management commands.

  • list_migrations

    List all migrations and their application status.

  • list_models

    List all Django models with their fields, types, and relationships.

  • list_urls

    List all URL patterns in the Django project.

  • reverse_url

    Reverse a URL pattern name to get its URL path.

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan7 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 62 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 89/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Django Telescope compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
89/100
higher than 83% of 4,460 AI and agents servers
Tools
9
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
113
more than 95% of 2,711 AI and agents servers
Downloads a week
15
more than 4% of 1,538 AI and agents servers with a package

What its tools let an agent do: 9 read

Install Django Telescope in Claude Code, Cursor or VS Code

claude mcp add django-telescope -- uvx django-telescope
Add to Cursor

What the publisher says

From the Django Telescope repository's README, as published. We do not edit it. Read it on GitHub

Django AI Boost

<!-- mcp-name: io.github.vintasoftware/django-ai-boost -->

A Model Context Protocol (MCP) server for developing Django applications, inspired by Laravel Boost. This server exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases.

Table of Contents

  • Features
  • Screenshots
  • Installation
  • For End Users
  • For Development
  • Usage
  • Running the Server
  • Authentication
  • AI Tools Setup
  • Cursor
  • Claude Desktop
  • Github Copilot (VS Code)

Features

  • Project Discovery: List models, URLs, and management commands
  • Database Introspection: View schema, migrations, and relationships
  • Configuration Access: Query Django settings with dot notation
  • Log Reading: Access recent application logs with filtering
  • Production-Ready Authentication: Bearer token authentication for secure deployments
  • Read-Only: All tools are safe, read-only operations
  • Fast: Built on FastMCP for efficient async operations

Screenshots

Click to view screenshots

Django AI Boost in Action

Django AI Boost MCP server providing Django project introspection through AI assistants (Example using OpenCode)

Installation

For End Users

# Using uv (recommended)
uv pip install django-ai-boost

# Or with pip
pip install django-ai-boost

For Development

If you want to contribute or run the latest development version:

# Clone the repository
git clone https://github.com/vinta/django-ai-boost.git
cd django-ai-boost

# Install uv if you haven't already
# On macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows:
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

# Install dependencies (creates virtual environment automatically)
uv sync --dev

# Verify installation
uv run django-ai-boost --help

Usage

Running the Server

The server requires access to your Django project's settings:

# Set the Django settings module
export DJANGO_SETTINGS_MODULE=myproject.settings
django-ai-boost

# Or specify settings directly
django-ai-boost --settings myproject.settings

# Run with SSE transport (default is stdio, which doesn't use network ports)
django-ai-boost --settings myproject.settings --transport sse

# Run with SSE transport on a custom port (default port is 8000)
django-ai-boost --settings myproject.settings --transport sse --port 3000

# Run with SSE transport on custom host and port
django-ai-boost --settings myproject.settings --transport sse --host 0.0.0.0 --port 8080

Note: The stdio transport (default) communicates via standard input/output and does not use network ports. The --port and --host options only apply when using --transport sse.

Authentication

Django AI Boost supports bearer token authentication for secure production deployments when using SSE transport.

Quick Start

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Django Telescope: common questions

Is Django Telescope MCP server safe?
Yes, by our scan: it is graded A (89/100). Read the Django Telescope safety report
How do I install Django Telescope?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Django Telescope need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is Django Telescope maintained?
The last commit was 96 days ago (2026-07-31). The latest release is v0.1.2.
How does Django Telescope compare with other AI and agents MCP servers?
safety score 89/100 (higher than 83% of 4,460 AI and agents servers); tools 9 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.