A skill your agent uses when adding, changing, deploying, testing, or debugging FastMCP MCP servers in existing Django apps, including ASGI mounting, stdio or sidecar servers, Django ORM access from…

MITAuto-check passedBackend & APIs

Install Fastmcp Django

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill fastmcp-django -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins fastmcp-django --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/fastmcp-django .claude/skills/fastmcp-django && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fastmcp-django
GitHub stars
1.3k
Token cost
~1.3k tokens
SKILL.md length
585 words
Files
7 (incl. references, assets)
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when adding, changing, deploying, testing, or debugging FastMCP MCP servers in existing Django apps, including ASGI mounting, stdio or sidecar servers, Django ORM access from…

  • Works in 5 steps: Read existing Django entrypoints first:… → Choose the transport boundary → Put MCP server registration in a small… → …
  • Debugging FastMCP MCP servers in existing Django apps
  • SKILL.md covers Tool Choice, Resource Routing, Implementation Workflow and Core Rules, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Fastmcp Django is an agent skill from hashgraph-online/awesome-codex-plugins. Use when adding, changing, deploying, testing, or debugging FastMCP MCP servers in existing Django apps, including ASGI mounting, stdio or sidecar servers, Django ORM access from MCP tools, auth and permissions, Streamable HTTP deployment, and MCP client tests.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files and assets (for example `agents/openai.yaml`, `references/auth-deployment-testing.md` and `references/tool-design.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

It sits in Backend & APIs, covering Backend development and MCP servers. It works with Django and Model Context Protocol. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Debugging FastMCP MCP servers in existing Django apps
  • Including ASGI mounting
  • Sidecar servers
  • Django ORM access from MCP tools

Example prompts

  • “/fastmcp-django”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read existing Django entrypoints first: manage.py, settings, asgi.py,
  2. Choose the transport boundary
  3. Put MCP server registration in a small module such as apps/core/mcp.py or
  4. Keep tool bodies thin. Call existing services, selectors, forms,
  5. Add tests through fastmcp.Client before wiring the transport. Most behavior

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • gofastmcp.com
    • docs.djangoproject.com
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Fastmcp Django loads about 1.3k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 585 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 585 words, ~1,336 tokens.

Download SKILL.mdSave it as .claude/skills/fastmcp-django/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
fastmcp-django
description
Use when adding, changing, deploying, testing, or debugging FastMCP MCP servers in existing Django apps, including ASGI mounting, stdio or sidecar servers, Django ORM access from MCP tools, auth and permissions, Streamable HTTP deployment, and MCP client tests.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
FastMCP Django
metadata.category
Django
metadata.tags
fastmcp,django,mcp,asgi

FastMCP with Django

Use FastMCP to expose small, typed Django application capabilities to agents. Keep Django as the source of truth for auth, permissions, validation, models, transactions, and business rules. Treat FastMCP as the protocol layer around existing application services.

Tool Choice

  • Prefer the standalone fastmcp package (from fastmcp import FastMCP) for new Python MCP work in Django.
  • Use the official MCP Python SDK (from mcp.server.fastmcp import FastMCP) when the project has already standardized on it, needs lower-level protocol control, or a host explicitly requires SDK behavior.
  • Consider django-mcp-server only when the project needs a Django-native package that works inside WSGI or declaratively exposes models/DRF APIs. Audit generated tool contracts and permissions before exposing private data.
  • If the app already has a deliberate public OpenAPI surface, generated or proxied tools can help for a first pass. For production agents, prefer hand-curated tools with purpose-built names, schemas, permissions, and bounded outputs.

FastMCP docs track the project's main branch, so re-check current docs when relying on recently added features or version badges.

Resource Routing

Load only the files needed for the current task:

NeedRead
Step-by-step implementation in an existing Django appworkflows/add-fastmcp-to-django.md
Stdio, HTTP sidecar, ASGI mount, and path-prefix examplesreferences/transports.md
Tool contract design, ORM boundaries, async rules, resources, and promptsreferences/tool-design.md
Auth, deployment, tests, local checks, and debugging symptomsreferences/auth-deployment-testing.md

Implementation Workflow

  1. Read existing Django entrypoints first: manage.py, settings, asgi.py, wsgi.py, URL routing, auth middleware, APIs, background jobs, and deployment files.
  2. Choose the transport boundary:
    • Use stdio for local desktop/editor MCP servers that run beside the app.
    • Use a separate FastMCP HTTP sidecar when Django is WSGI-only or MCP should scale independently.
    • Mount FastMCP into the Django ASGI process when the app already runs under ASGI and sharing process/domain is intentional.
  3. Put MCP server registration in a small module such as apps/core/mcp.py or project/mcp.py.
  4. Keep tool bodies thin. Call existing services, selectors, forms, serializers, policy methods, or domain functions.
  5. Add tests through fastmcp.Client before wiring the transport. Most behavior should be tested in memory without a running web server.
Show full SKILL.md (241 more words)Show less

Core Rules

  • Make every exposed capability explicit. Avoid generic SQL, generic model browsing, arbitrary imports, file path access, or "admin" tools unless the project has a clear allowlist and authorization plan.
  • Use typed parameters, Pydantic constraints, return type annotations, docstrings, and small JSON-serializable return values.
  • Pass durable identifiers, not Django model instances, request objects, lazy querysets, open files, or huge payloads.
  • Paginate and cap list/search tools. Return stable IDs and summaries, not full model dumps.
  • Inject the current user/account from validated auth context or a trusted dependency. Never let the model provide privileged identity fields in production.
  • Use synchronous def FastMCP tools for ordinary Django ORM work unless the project has a clear async design.
  • For long-lived MCP processes, call close_old_connections() around ORM work or centralize connection cleanup in a thin helper.
  • Add timeouts to slow or externally dependent tools. Enqueue long-running work instead of holding MCP requests open.

Verification

  • Inspect tool names, schemas, and descriptions with fastmcp list or fastmcp inspect when tool contracts matter.
  • Test allowed and denied users for every permissioned tool.
  • Test invalid inputs, missing objects, pagination caps, destructive action confirmation, database state changes, and transaction.on_commit side effects.
  • Add one HTTP transport smoke test when ASGI mounting, auth headers, proxy behavior, or URL paths changed.

References

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references, assets) in plugins/LVTD-LLC/skills/skills/fastmcp-django of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • assets/app-icon.png
  • references/auth-deployment-testing.md
  • references/tool-design.md
  • references/transports.md
  • workflows/add-fastmcp-to-django.md

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Fastmcp Django next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fastmcp Django compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fastmcp Django this skillhashgraph-online/awesome-codex-plugins1.3k—~1.3kAutomated safety check: PassMIT
MCP Developmentcachethq/core230—~1.4kAutomated safety check: PassMIT
Implementing MCP ToolsPostHog/posthog40k—~4kAutomated safety check: PassCustom licence
MCP Serverrrezartprebreza/spring-boot-skills301—~1.1kAutomated safety check: PassMIT
MCP Serverrrezartprebreza/spring-boot-skills301—~1.3kAutomated safety check: PassMIT
Intelliconnect Service Styleruanrongman/IntelliConnect147—~2.4kAutomated safety check: PassApache-2.0

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Questions about Fastmcp Django

What does Fastmcp Django do?

A skill your agent uses when adding, changing, deploying, testing, or debugging FastMCP MCP servers in existing Django apps, including ASGI mounting, stdio or sidecar servers, Django ORM access from…. Fastmcp Django is an agent skill from hashgraph-online/awesome-codex-plugins. Use when adding, changing, deploying, testing, or debugging FastMCP MCP servers in existing Django apps, including ASGI mounting, stdio or sidecar servers, Django ORM access from MCP tools, auth and permissions, Streamable HTTP deployment, and MCP client tests.

When should I use Fastmcp Django?

Fastmcp Django fits situations like: debugging FastMCP MCP servers in existing Django apps; including ASGI mounting; sidecar servers; django ORM access from MCP tools.

How do I install Fastmcp Django in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill fastmcp-django -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/fastmcp-django in hashgraph-online/awesome-codex-plugins) into .claude/skills/fastmcp-django in your project. Claude Code loads it when a task matches its description.

How do I install Fastmcp Django in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill fastmcp-django -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/fastmcp-django in hashgraph-online/awesome-codex-plugins) into .agents/skills/fastmcp-django in your project. Codex loads it when a task matches its description.

Can I use Fastmcp Django in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill fastmcp-django -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fastmcp-django, .gemini/skills/fastmcp-django, .github/skills/fastmcp-django and .opencode/skills/fastmcp-django in your project.

What does Fastmcp Django need to run?

SKILL.md names no scripts, command-line tools or credentials: Fastmcp Django is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Fastmcp Django access the network?

SKILL.md names 3 domains. As links in the text: gofastmcp.com, docs.djangoproject.com and github.com. This is read from the text; nothing was executed.

Is Fastmcp Django safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Fastmcp Django use?

Fastmcp Django is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fastmcp Django use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.5k tokens, read only when the agent opens those files.

What are the alternatives to Fastmcp Django?

Skills that share tags, products or a category with Fastmcp Django: MCP Development (cachethq/core, 230 stars), Implementing MCP Tools (PostHog/posthog, 40k stars), MCP Server (rrezartprebreza/spring-boot-skills, 301 stars) and MCP Server (rrezartprebreza/spring-boot-skills, 301 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fastmcp Django?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.