About Tools
Tools is an MCP server published by av in the Developer Tools category: docker image for installing and running tools for LLM agents (MCP, OpenAPI, UVX, NPX, Python).
The repository has 12 stars and 3 forks, with the last commit 4 months ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/av/toolsThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- !Dependencies pinnedNo lockfile. Installs can pull different code over time.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
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README
Docker image for installing and running tools for LLM agents (MCP, OpenAPI, UVX, NPX, Python)
Features
- Python / Node.js / Deno runtime, Rust toolchain - includes
python,node,uvx,npx,deno,cargo - Includes extra packages for managing MCP/OpenAPI tools and connections
mcpo- MCP to OpenAPI bridgesupergateway- MCP STDIO/SSE bridge@modelcontextprotocol/inspector- debugging tool for MCP
- Utils:
curl,jq,git,ffmpeg - Easy unified cache at
/app/cachefor all tools - Scanned with
trivyfor vulnerabilities
Variants
| Tag | Description |
|---|---|
ghcr.io/av/tools:latest |
Base image with runtimes, MCP tooling, and utilities |
ghcr.io/av/tools:agentic |
Extended image with pre-installed Python libraries for agentic workflows |
The agentic variant includes Python packages for common agent tasks:
- File formats —
PyPDF2,python-docx,openpyxl,Pillow,lxml,beautifulsoup4,markdownify,chardet - Data analysis —
pandas,numpy,matplotlib,tabulate - Data access —
requests,httpx,aiohttp,sqlalchemy,psycopg2-binary - Essentials —
pydantic,tiktoken
Usage
# Launch MCP tools in stdio mode
docker run ghcr.io/av/tools uvx mcp-server-time
# Bridge from MCP to OpenAPI
docker run -p 8000:8000 ghcr.io/av/tools uvx mcpo -- uvx mcp-server-time --local-timezone=America/New_York
# http://0.0.0.0:8000/docs -> see endpoint documentation
# Run MCP inspector
docker run -p 6274:6274 -p 6277:6277 ghcr.io/av/tools npx @modelcontextprotocol/inspector
# Persist the cache volume for quick restarts
# -v cache:/app/cache - named docker volume
# -v /path/to/my/cache:/app/cache - cache on the host
docker run -v cache:/app/cache ghcr.io/av/tools uvx mcp-server-time
# Use the agentic variant for Python-heavy workflows
docker run ghcr.io/av/tools:agentic python3 -c "import pandas; print(pandas.__version__)"
In docker compose:
services:
time:
image: ghcr.io/av/tools
command: uvx mcp-server-time
volumes:
- cache:/app/cache
fetch:
image: ghcr.io/av/tools
command: uvx mcpo -- uvx mcp-server-fetch
ports:
- 7133:8000
volumes:
- cache:/app/cache
Check out Harbor for a complete dockerized LLM environment.
README fetched from the repository 4 days ago. The original is authoritative.