Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Your DRF API as MCP tools — 1,800 endpoints become 16 dispatchers, permissioned by Django.
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Works in Claude on the web, desktop and mobile:
https://mcp.frisian-mcp.com/mcp/Run this in your terminal
claude mcp add --transport http django https://mcp.frisian-mcp.com/mcp/Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"django": {
"url": "https://mcp.frisian-mcp.com/mcp/"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"django": {
"type": "http",
"url": "https://mcp.frisian-mcp.com/mcp/"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.frisian-mcp.com/mcp/Menu names can differ slightly by plan and over time.
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We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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Not checked yet; we check endpoints in rotation
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.12) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Excaliself
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Find, read, create, edit, and organize Excalidraw drawings in your self-hosted Excaliself instance.
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The Django MCP gateway that discovers your API automatically.
frisian-mcp turns your existing Django REST Framework ViewSets into Model Context Protocol tools with zero boilerplate. Add the package, include one URL, and every ViewSet action becomes a callable MCP tool — name, description, and input schema derived from your serializers automatically.
Designed for token-efficient agent workflows. A 50-action Django app loads in 500–2,000 tokens of tools/list schema instead of the 15,000–25,000 conventional flat MCP would emit; a 60-device bulk-write response is 24 tokens instead of ~10,800 of full echo. Same surface, two orders of magnitude less context burned before the agent has done any reasoning. Full numbers in Token efficiency.
Version: 1.1.1 | License: Apache 2.0 | Python: 3.11+ | Django: 5.x
pip install frisian-mcp
Project site: https://frisian-mcp.com/
A live MCP server is hosted at https://frisian-mcp.com/ for hands-on evaluation — point any MCP-compatible client at it to see the dispatcher pattern and lean envelope behavior against a real surface. The same site serves the project documentation through an MCP-consumable dispatcher, so coding agents (Claude Code, Codex, Gemini CLI, etc.) can connect to it directly and consume installation, configuration, and decorator reference material as part of their working context while integrating frisian-mcp into your own project.
| Feature | Details |
|---|---|
| Auto-discovery | Walks URL patterns at startup; registers every ViewSet action as an MCP tool |
| Zero boilerplate | Name, description, and input schema derived from DRF serializers automatically |
| `@mcp_dispatcher` | One tool → many actions; built-in help mode; per-action validation |
| `@mcp_tool` | Explicit single-function tool registration for custom logic |
| `@mcp_resource` | Expose server-side content via resources/list / resources/read |
| Filter introspection | SearchFilter, OrderingFilter, DjangoFilterBackend → schema properties on list |
| Allowlist / denylist | FRISIAN_MCP_TOOL_ALLOWLIST / FRISIAN_MCP_TOOL_DENYLIST for surgical surface control |
| Dispatch groups | FRISIAN_MCP_DISPATCH_GROUPS — bundle N tools into 1 dispatcher; action="help" for discovery |
| Deferred discovery | URL scan fires on first request — captures late-loading plugin ViewSets |
| OAuth 2.0 | contrib.oauth — authorization code (PKCE) + client credentials; HMAC-hashed tokens |
| Static tokens | contrib.tokens — HMAC-hashed Bearer tokens for internal agents |
| Per-agent scoping | contrib.agents — per-credential tool allowlists; fail-closed on inactive connections |
| Permission tiers | FRISIAN_MCP_TOKEN_TIER_MAP / FRISIAN_MCP_MAX_TIER — map roles to read/write gates |
| Host-app scoping | SyncInvocation calls viewset.initial() — host RBAC, queryset filtering, and throttles enforced |
| Tool middleware | FRISIAN_MCP_TOOL_MIDDLEWARE — audit logging, rate limiting, heartbeats |
| Rate limiting | RateLimitMiddleware — built-in sliding-window, no Redis required |
| Pluggable backends | Custom discovery and invocation backends via dotted-path settings |
| SSE support | Accept: text/event-stream wraps any response in a single SSE event |
| MCP `2025-11-25` | Streamable HTTP; ping, initialize, tools/list, tools/call, resources/list |
The dispatcher pattern and the lean write envelope exist for one reason: agent context windows are finite, and the conventional MCP shape (one tool per ViewSet action; full serialized echo on every write) burns through that budget before the agent has done anything useful.
Measured numbers from real integrations:
| Scenario | Default MCP shape | frisian-mcp | Reduction |
|---|---|---|---|
tools/list for a 50-action Django app | ~15,000–25,000 tokens | 500–2,000 tokens with FRISIAN_MCP_DISPATCH_GROUPS | ~95% |
tools/list for a large infrastructure Django app | 1,737 flat tools | 15 dispatcher tools | tool surface reduced ~99% |
| 60-device bulk-create response | ~10,798 tokens (full echo) | 24 tokens (lean envelope) | 99.8% |
| 200-device bulk-create response | ~36,000 tokens | 24 tokens (constant) | 99.9% |
The bulk-write savings are constant regardless of batch size — the lean envelope is fixed-shape and the full response is reachable via the continuation token without re-running the write. The dispatcher reduction is opt-in through FRISIAN_MCP_DISPATCH_GROUPS (autodiscovery alone gives the conventional flat shape).
See The Token Problem, Dispatcher Pattern, and Write-Path Response Filtering for the design rationale and full measurements.
1. Install and add to `INSTALLED_APPS`:
# settings.py
INSTALLED_APPS = [ ... "frisian_mcp", ]
2. Include the gateway URL:
# urls.py
from django.urls import include, path
urlpatterns = [ ... path("mcp/", include("frisian_mcp.urls")), ]
That's it. With auto-discovery enabled (the default), every DRF ViewSet in your URL tree is now an MCP tool.
# myapp/views.py — nothing changes here
class UserViewSet(viewsets.ModelViewSet): queryset = User.objects.all() serializer_class = UserSerializer permission_classes = [IsAuthenticated]
After startup, the gateway exposes users.list, users.retrieve, users.create, users.update, users.partial_update, and users.destroy — derived entirely from the ViewSet.
3. Generate a client config:
python manage.py mcp_config --token mytoken123
{
"mcpServers": { "frisian-mcp": { "url": "http://localhost:8000/mcp/", "transport": "http", "headers": { "Authorization": "Bearer mytoken123" } } } }
Use --client to emit the format expected by a specific MCP client. Use --url and --name to override the server URL and key.
4. Verify the install:
python manage.py mcp_doctor # standard audit
python manage.py mcp_doctor --security # extended OAuth security audit
Walks the configuration end-to-end and exits non-zero on errors. Run after every install, every config change, and as the first diagnostic step on any unexpected behaviour. See the mcp_doctor guide for the full check list.
MCP Client
│ JSON-RPC 2.0 over HTTP POST ▼ ┌──────────────────────────────────────────────────┐ │ McpView (DRF APIView) │ │ ├─ Authentication (FRISIAN_MCP_AUTHENTICATION_CLASSES) │ │ ├─ Permissions (FRISIAN_MCP_PERMISSION_CLASSES) │ │ └─ Method dispatch │ │ ├─ initialize / initialized / ping / help │ │ ├─ tools/list ──────────────── ToolRegistry │ │ ├─ tools/call ── ToolMiddleware ── Registry │ │ ├─ resources/list ───────── ResourceRegistry │ │ └─ resources/read ───────── ResourceRegistry │ └──────────────────────────────────────────────────┘ │ ┌──────────────────┐ ┌─────────────────────────┐ │ ToolRegistry │ │ Auto-discovery │ │ (module-level │◄──│ (DRFSyncDiscovery) │ │ singleton) │ │ Walks URL patterns at │ │ │ │ AppConfig.ready() │ └──────────────────┘ └─────────────────────────┘ │ ┌──────────────────────────────────────────────────┐ │ InvocationBackend (SyncInvocation by default) │ │ Builds synthetic DRF Request → calls ViewSet │ │ action → returns ToolResult │ └──────────────────────────────────────────────────┘
@mcp_tool, @mcp_dispatcher, and auto-discovery all write to the same tool_registry singleton.isError: true inside a normal HTTP 200 response — the session stays alive./mcp/ surface. Tool-level tiers gate individual tools/call invocations.For teams building purpose-built agent tools, frisian-mcp ships the `@mcp_dispatcher` pattern: one MCP tool name routes to many actions internally.
from frisian_mcp import mcp_dispatcher, mcp_action
@mcp_dispatcher(name="tasks", description="Manage project tasks.") class TasksDispatcher:
@mcp_action(name="create", description="Create a task.") def create(self, request, params): task = Task.objects.create(title=params["title"]) return {"id": task.pk}
@mcp_action(name="list", description="List tasks by status.") def list(self, request, params): return {"tasks": list(Task.objects.values("id", "title", "status"))}
One tool in tools/list instead of many. Call with action="help" for a structured listing of available actions. Per-action JSON Schema validation runs before the method.
This is the pattern for agent-facing APIs where tool count matters and progressive disclosure beats a flat list.
For high-volume APIs, FRISIAN_MCP_DISPATCH_GROUPS can automatically bundle existing auto-discovered tools into dispatchers with no extra code.
frisian-mcp delegates authentication to DRF — any DRF authentication class works out of the box via FRISIAN_MCP_AUTHENTICATION_CLASSES. Three ready-to-use contrib modules cover the most common cases:
| Module | What it provides |
|---|---|
frisian_mcp.contrib.tokens | HMAC-hashed static Bearer tokens for internal agents and service accounts |
frisian_mcp.contrib.oauth | Full OAuth 2.0 — authorization code (PKCE) + client credentials; redirect URI allowlist |
frisian_mcp.contrib.agents | Per-credential tool allowlists; connections fail-closed when the credential is deactivated |
Gateway-level access is controlled by FRISIAN_MCP_PERMISSION_CLASSES. Tool-level access is controlled by permission tiers (read / read_write / admin) mapped via FRISIAN_MCP_TOKEN_TIER_MAP. Use FRISIAN_MCP_MAX_TIER to cap all callers on an endpoint regardless of their credential tier.
The defaults are oriented toward production safety rather than walk-up convenience:
FRISIAN_MCP_HMAC_KEY). A leaked database row cannot be replayed directly — the raw secret is only ever shown once at creation time.FRISIAN_MCP_OAUTH_REGISTRATION_OPEN=False, FRISIAN_MCP_OAUTH_PKCE_AUTO_REGISTER=False, FRISIAN_MCP_OAUTH_AUTO_APPROVE=False). The operator pre-registers every OAuth client via the Django admin; anonymous walk-up registration is not possible without an explicit opt-in.Only the beginning is shown; read the rest in the repo