Open-source MCP tools for AI agents — lint, security, dependency audit, web scraping and more
Project description
agentic-store-mcp
Give your AI agents superpowers — free, open-source MCP tools, self-hosted, no account required.
Works with Claude Desktop, Cursor, Windsurf, VS Code, and any MCP-compatible client.
What's Included
| Module | Tool | Description | Requires |
|---|---|---|---|
| AgenticCode | python_lint_checker |
Static analysis for Python — bugs, style, complexity | Nothing |
| AgenticCode | repo_scanner |
Scan for leaked secrets, PII, and .gitignore gaps | Nothing |
| AgenticCode | dependency_audit |
Check for outdated and vulnerable dependencies | Nothing |
| AgenticData | agentic_web_crawl |
Fetch any URL — extract page text, SEO metadata, headings, links, images | Nothing |
| AgenticData | agentic_web_search |
Search the web via self-hosted SearXNG; returns ranked results with title, URL, snippet | SearXNG running |
Setup
Choose your preferred setup method. Both expose the same tools over the same MCP stdio protocol.
- Python — requires
uv(recommended for developers) - Docker — requires Docker, no Python needed on the host
Python Setup
1. Install uv
macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Windows (winget)
winget install --id=astral-sh.uv -e
Verify:
uv --version
2. Run the server
Option A — Run directly via uvx (no install, always latest)
uvx --refresh agentic-store-mcp
--refreshensuresuvxalways pulls the latest published version on each run. Omit it if you want to reuse the cached version.
Option B — Install globally
pip install agentic-store-mcp
agentic-store-mcp
Option C — Clone and run from source
git clone https://github.com/agenticstore/agentic-store-mcp
cd agentic-store-mcp
uv sync
uv run server.py
3. Enable web search (optional)
agentic_web_search requires a running SearXNG instance — a free, self-hosted metasearch engine.
# Start SearXNG (Docker required)
docker compose up -d
# Run the MCP server with the SearXNG URL
SEARXNG_URL=http://localhost:8080 uvx --refresh agentic-store-mcp
4. Available flags
uvx --refresh agentic-store-mcp # all tools
uvx --refresh agentic-store-mcp --modules code # AgenticCode only
uvx --refresh agentic-store-mcp --modules data # AgenticData only
uvx --refresh agentic-store-mcp --modules code,data # multiple modules
uvx --refresh agentic-store-mcp --tools agentic_web_search # single tool
uvx --refresh agentic-store-mcp --list # list tools and exit
Docker Setup
1. Pull the image (recommended)
docker pull agenticstore/agentic-store-mcp:latest
2. Verify
docker run --rm agenticstore/agentic-store-mcp:latest --list
3. Enable web search (optional)
Requires a running SearXNG instance. Clone the repo just for the docker-compose.yml, then start SearXNG:
git clone https://github.com/agenticstore/agentic-store-mcp
cd agentic-store-mcp
docker compose up -d
Run the MCP server connected to SearXNG:
docker run -i --rm \
--network agentic-store-mcp_default \
-e SEARXNG_URL=http://searxng:8080 \
agenticstore/agentic-store-mcp:latest
Update to latest (optional)
docker pull agenticstore/agentic-store-mcp:latest
Build from source (optional — for contributors or custom builds)
git clone https://github.com/agenticstore/agentic-store-mcp
cd agentic-store-mcp
docker build -t agentic-store-mcp .
docker run --rm agentic-store-mcp --list
Replace
agenticstore/agentic-store-mcp:latestwithagentic-store-mcpin any config below if using a local build.
Connect to Your AI Client
Add AgenticStore to your MCP client's config file, then restart the client.
Each section shows Python and Docker variants. Docker configs use the remote image — if you built locally, replace agenticstore/agentic-store-mcp:latest with agentic-store-mcp.
Claude Desktop
Config location
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Python — all tools
{
"mcpServers": {
"agentic-store-mcp": {
"command": "uvx",
"args": ["--refresh", "agentic-store-mcp"]
}
}
}
Python — with web search (optional — docker compose up -d required)
{
"mcpServers": {
"agentic-store-mcp": {
"command": "uvx",
"args": ["--refresh", "agentic-store-mcp"],
"env": {
"SEARXNG_URL": "http://localhost:8080"
}
}
}
}
Docker — web crawl only
{
"mcpServers": {
"agentic-store-mcp": {
"command": "docker",
"args": ["run", "-i", "--rm", "agenticstore/agentic-store-mcp:latest"]
}
}
}
Docker — with web search (optional — docker compose up -d required)
{
"mcpServers": {
"agentic-store-mcp": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"--network", "agentic-store-mcp_default",
"-e", "SEARXNG_URL=http://searxng:8080",
"agenticstore/agentic-store-mcp:latest"
]
}
}
}
Cursor
Config location: ~/.cursor/mcp.json
Python — all tools
{
"mcpServers": {
"agentic-store-mcp": {
"command": "uvx",
"args": ["--refresh", "agentic-store-mcp"]
}
}
}
Python — with web search (optional — docker compose up -d required)
{
"mcpServers": {
"agentic-store-mcp": {
"command": "uvx",
"args": ["--refresh", "agentic-store-mcp"],
"env": { "SEARXNG_URL": "http://localhost:8080" }
}
}
}
Docker — with web search (optional — docker compose up -d required)
{
"mcpServers": {
"agentic-store-mcp": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"--network", "agentic-store-mcp_default",
"-e", "SEARXNG_URL=http://searxng:8080",
"agenticstore/agentic-store-mcp:latest"
]
}
}
}
Windsurf
Config location: ~/.codeium/windsurf/mcp_config.json
Same pattern as Cursor above.
VS Code (MCP extension)
Same pattern as Cursor above.
Programmatic Usage (Python)
from agentic_store_mcp import start_server
start_server() # all tools
start_server(modules=["code"]) # AgenticCode only
start_server(modules=["code", "data"]) # multiple modules
start_server(tools=["agentic_web_search"]) # single tool
Tool Reference
agentic_web_crawl
Fetches a URL and returns structured page content and SEO signals: title, meta description, canonical URL, robots directives, Open Graph tags, Twitter Card tags, heading structure (h1–h6), word count, and internal/external link breakdown. Handles redirects and encoding detection automatically.
No external dependencies or setup required.
agentic_web_search
Searches the web via a self-hosted SearXNG instance. Returns ranked results with title, URL, snippet, and source engine. Supports categories (general, news, images, science, it, etc.) and language filtering.
Requires SearXNG: docker compose up -d
python_lint_checker
Static analysis for Python files. Checks imports, bugs, style, and complexity — zero external dependencies.
repo_scanner
Scans a directory for leaked secrets (AWS keys, API tokens, private keys), PII (emails, SSNs), and missing .gitignore entries.
dependency_audit
Audits requirements.txt, pyproject.toml, package.json, go.mod, pom.xml, and more. Checks for outdated versions and known CVEs via OSV.
Contributing
- Tools must be pure Python — no managed services, no AgenticStore infrastructure
- Each tool lives in
agentic_store_mcp/modules/<category>/<tool_name>/withhandler.py,schema.json,README.md, andtest_handler.py - Run tests:
uv run pytest
License
MIT — free to use, fork, and modify.
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