django-admin-mcp
Provides read-only access to Django admin data over MCP, scoped to the signed-in staff user's permissions and respecting all ModelAdmin-level controls.
README
django-admin-mcp
Give an AI agent read-only access to your Django admin data over MCP — scoped to exactly what the signed-in staff user could already see in the admin. No new data surface, just a new protocol over the one you already trust.
agent ──stdio──▶ shim ──HTTPS(x-api-key)──▶ /admin-mcp/ views ──▶ ModelAdmin (perms + queryset) ──▶ read replica
Every read is driven through the model's own ModelAdmin, so the agent sees precisely what that
user sees in /admin/ — same permission checks, same row scoping, same search — with secrets
redacted and cost gates on every query.
Why it's different
- Permission-faithful by construction. Access is gated by
ModelAdmin.has_view_permission(model and object level), scoped byModelAdmin.get_queryset, and searched viaModelAdmin.get_search_results— the exact calls the admin UI makes. A user with view rights on three models sees three models. There is no parallel permission system to keep in sync. - Zero-copy auth. No API keys to mint, paste, or rotate. The MCP shim runs a loopback
browser sign-in (OAuth-style PKCE): it opens
/auth/, catches a one-time code on a127.0.0.1listener, and exchanges it for a scoped, sliding-expiry token stored per-host at0600. Expired token → the agent silently re-auths. The token authenticates to this endpoint only, so a leak can't reach any other API. - Safe to point at production. Reads route to a configurable replica alias, run under a
per-query statement timeout, never issue an unbounded
COUNT(*), refuse deep pagination, and are per-user rate-limited. Secret-looking fields (password,token,api_key, …, incl. keys nested in JSON columns) come back***. Whole models can be hidden by policy. - Drop-in. One
include()in your URLconf, a few optional settings, zero required dependencies beyond Django. Works with any MCP client (Claude Code, Codex, …) — the shim is stdlib-only.
Install
pip install django-admin-mcp
# settings.py
INSTALLED_APPS = [..., "admin_mcp"]
ADMIN_MCP_BASE_PATH = "/admin-mcp" # must match where you mount the urls
# urls.py
from django.urls import include, path
urlpatterns = [
path("admin/", admin.site.urls),
path("admin-mcp/", include("admin_mcp.urls")),
]
That's the minimum. Then a staff user opens https://<your-host>/admin-mcp/auth/ and copies the
one command it shows for their agent.
Try it in 60 seconds
git clone https://github.com/paritoshv/django-admin-mcp && cd django-admin-mcp/example
python manage.py migrate
python manage.py createsuperuser
python manage.py runserver
# open http://127.0.0.1:8000/admin-mcp/auth/ → follow the one-liner it prints
The demo app ships an Author/Book model (with a redacted api_key field) and a SecretRecord
model that's hidden from MCP via ADMIN_MCP_HIDDEN_MODELS — so you can see scoping, redaction, and
model-hiding immediately.
MCP tools
| Tool | Maps to | Notes |
|---|---|---|
admin_list_models |
which models you may view | discovery entry point |
admin_get_model_schema |
fields, relations, search_fields, list_filter, sortable fields |
read this to know what's queryable |
admin_search |
the changelist | query needs search_fields; filters must be within list_filter; bounded count |
admin_get |
the change view | one row by pk, object-level permission enforced |
authenticate |
the loopback sign-in | usually automatic; call to sign in ahead of time |
Endpoints
Mounted under ADMIN_MCP_BASE_PATH. model is app_label.ModelName.
| Path | Params | Auth | Returns |
|---|---|---|---|
models/ |
– | staff | models the caller may view |
schema/ |
model |
staff | fields, relations, search/filter/sort surface |
search/ |
model, query?, filters?, order_by?, page?, page_size? |
staff | changelist rows + bounded count |
object/ |
model, pk |
staff | one object |
auth/ |
redirect_uri?, state?, code_challenge? |
browser session | setup page, or the loopback PKCE redirect |
auth/token/ |
code, code_verifier (POST) |
one-time PKCE code | exchanges a loopback code for a fresh token |
shim/ |
– | staff | the stdio shim source (so setup is one curl) |
Configuration
Everything is optional; defaults are safe.
| Setting | Default | Purpose |
|---|---|---|
ADMIN_MCP_ENABLED |
True |
master on/off |
ADMIN_MCP_ENABLED_HOOK |
– | dotted path to callable() -> bool — a runtime killswitch (feature flag / infra toggle) with no deploy |
ADMIN_MCP_READONLY_DB |
"default" |
DB alias reads route to; point at a replica in prod |
ADMIN_MCP_HIDDEN_MODELS |
[] |
"app.Model" labels never served (and hidden from discovery) |
ADMIN_MCP_HIDDEN_MODELS_HOOK |
– | dotted path to callable(model) -> bool for dynamic hiding (e.g. an encrypted/PII data-classification router) |
ADMIN_MCP_CACHE_ALIAS |
"default" |
Django cache backing tokens/codes/throttle — use a shared Redis/Memcached in production |
ADMIN_MCP_SECRET_MARKERS |
password, secret, token, api_key, … | substrings that mark a field for redaction |
ADMIN_MCP_SERVER_NAME |
"admin-mcp" |
MCP server name on the setup page; scope per environment |
ADMIN_MCP_BASE_PATH |
"/admin-mcp" |
where the app is mounted (advertised to the shim) |
ADMIN_MCP_PAGE_SIZE / _MAX_PAGE_SIZE / _COUNT_CAP / _STATEMENT_TIMEOUT_MS |
25 / 100 / 1000 / 5000 | pagination + cost caps |
ADMIN_MCP_THROTTLE_AT / _THROTTLE_TIMEFRAME |
120 / 60 | per-user rate limit |
ADMIN_MCP_TOKEN_TTL_SECONDS / _TOKEN_MAX_LIFETIME_SECONDS / _CODE_TTL_SECONDS |
86400 / 604800 / 60 | token idle window, absolute lifetime, one-time-code TTL |
Production notes
- Set
ADMIN_MCP_CACHE_ALIASto a shared cache (Redis/Memcached). The default LocMem cache is per-process, so tokens minted on one worker won't resolve on another. - Point
ADMIN_MCP_READONLY_DBat a read replica so agent reads never touch the primary. - Wire
ADMIN_MCP_ENABLED_HOOKto a feature flag if you want to kill the endpoint without a deploy.
Security model
- Auth: a live admin session, or a scoped token in the
x-api-keyheader. The token is a random opaque string; only its SHA-256 is stored. Idle 24h expiry that slides on use, plus a 7-day absolute cap. It resolves to an active staff user on every call, so deactivating the account or revoking staff invalidates it immediately, TTL notwithstanding. - Loopback PKCE refresh:
/auth/only ever redirects the one-time code to a validatedhttp://127.0.0.1|localhostURI — never an external host — and the code (60s, single-use) is worthless without the PKCE verifier held by the shim that started the flow. - Redaction runs after honouring each admin's
exclude/fieldswhitelist — defence in depth, so even a mis-configured admin can't leak a secret column into an LLM context. - Never evaluates
list_displaycallables (they can trigger N+1s or side effects); serialises concrete fields only. - Audit trail: one structured record per call (who/what/outcome/timing) on the
admin_mcp.auditlogger — never the response values, so the log isn't a second data-egress path.
Tests
python runtests.py
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.