agentic-store-mcp
A collection of self-hosted, open-source tools that enable AI agents to perform web searching, content crawling, and code analysis tasks like linting and security scanning. It provides power-user capabilities for MCP-compatible clients without requiring external accounts or third-party infrastructure.
README
⚡ Agentic Store MCP: Free, Open-Source Tools for AI Agents
<!-- SEO Metadata --> <!-- Keywords: Model Context Protocol, MCP server, AI agents, Claude Desktop MCP, Cursor MCP, open-source MCP tools, Python MCP, self-hosted AI tools, web search MCP, Python lint checker MCP -->
Give your AI agents superpowers with Agentic Store MCP—a collection of free, open-source, and self-hosted tools built on the Model Context Protocol (MCP).
No accounts, no API limits, no subscriptions. Just pure, self-hosted capabilities for your favorite AI assistants.
Fully compatible with: Claude Desktop, Cursor, Windsurf, VS Code, and any other MCP-compatible client.
🚀 Quick Start: Installation
Get started in less than a minute. Choose your preferred environment:
Method 1: Python (Recommended for Developers)
Using uv (the fast Python package installer):
uvx --refresh agentic-store-mcp
Note: The --refresh flag ensures you always run the latest published version.
Need to 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"
Method 2: Docker (No Python Required)
docker run --rm agenticstore/agentic-store-mcp:latest --list
🛠️ MCP Tool Directory
Our tools are organized into powerful modules designed to solve specific workflow challenges for AI agents.
🌐 AgenticData Module
Empower your AI to gather real-time information from the web.
-
agentic_web_crawl— Advanced Web Scraper & Crawler- What it does: Fetches any URL and extracts clean page text, SEO metadata, heading structures, links, and images. Handles redirects and encoding automatically.
- Use Case: Let Claude or Cursor read external documentation, scrape competitor sites, or summarize web articles.
- Requirements: None! Works out of the box.
-
agentic_web_search— Private Metasearch Engine- What it does: Searches the web via a self-hosted SearXNG instance. Returns ranked results with titles, URLs, and text snippets.
- Use Case: Give your AI live internet access without paying for search APIs.
- Requirements: Requires a local SearXNG instance (
docker compose up -d).
💻 AgenticCode Module
Give your AI the ability to analyze, lint, and secure codebases autonomously.
-
python_lint_checker— Python Static Analysis- What it does: Checks Python files for imports, bugs, styling issues, and code complexity.
- Use Case: Ask your AI to review your Python code for PEP-8 compliance and logical bugs.
- Requirements: None! Zero external dependencies.
-
repo_scanner— Security & Secret Scanner- What it does: Scans directories for leaked secrets (AWS keys, API tokens), PII (emails, SSNs), and
.gitignoregaps. - Use Case: Run a security audit on your project before committing code to public repositories.
- Requirements: None!
- What it does: Scans directories for leaked secrets (AWS keys, API tokens), PII (emails, SSNs), and
-
dependency_audit— Vulnerability Checker- What it does: Audits package files (
requirements.txt,package.json,go.mod, etc.) for outdated versions and known CVEs using the OSV database. - Use Case: Ask your AI to check if your project's dependencies are secure and up-to-date.
- Requirements: None!
- What it does: Audits package files (
🔌 Connecting to Your AI Client
Add AgenticStore to your MCP client's configuration file to enable the tools, then restart the client.
<details> <summary><h3>🧠 Claude Desktop</h3></summary>
Config locations:
- 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"]
}
}
}
Docker (All Tools)
{
"mcpServers": {
"agentic-store-mcp": {
"command": "docker",
"args": ["run", "-i", "--rm", "agenticstore/agentic-store-mcp:latest"]
}
}
}
(Check the bottom of this section for SearXNG setup instructions if you want web search enabled!)
</details>
<details> <summary><h3>💻 Cursor</h3></summary>
Config location: ~/.cursor/mcp.json
Python (All Tools)
{
"mcpServers": {
"agentic-store-mcp": {
"command": "uvx",
"args": ["--refresh", "agentic-store-mcp"]
}
}
}
</details>
<details> <summary><h3>🏄 Windsurf</h3></summary>
Config location: ~/.codeium/windsurf/mcp_config.json
(Configuration is identical to the Cursor setup above.)
</details>
<details> <summary><h3>📝 VS Code (MCP Extension)</h3></summary>
(Configuration is identical to the Cursor setup above.)
</details>
🔎 Enabling Web Search (agentic_web_search)
To use the web search tool, you need a running SearXNG instance.
- Start SearXNG via Docker:
git clone https://github.com/agenticstore/agentic-store-mcp cd agentic-store-mcp docker compose up -d - Update your MCP config with the
SEARXNG_URLenvironment variable:
Python users:
{
"mcpServers": {
"agentic-store-mcp": {
"command": "uvx",
"args": ["--refresh", "agentic-store-mcp"],
"env": { "SEARXNG_URL": "http://localhost:8080" }
}
}
}
Docker users:
{
"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"
]
}
}
}
🎛️ Advanced Usage & CLI Flags
Filter which tools or modules your AI has access to using the CLI:
uvx --refresh agentic-store-mcp # Run all tools
uvx --refresh agentic-store-mcp --modules code # Only load AgenticCode
uvx --refresh agentic-store-mcp --modules data # Only load AgenticData
uvx --refresh agentic-store-mcp --tools agentic_web_search # Only load a specific tool
uvx --refresh agentic-store-mcp --list # List all available tools and exit
🏗️ Programmatic Usage (Python)
Integrate these MCP tools directly into your own LangChain, LlamaIndex, or custom AI python scripts:
from agentic_store_mcp import start_server
start_server() # Load all tools
start_server(modules=["code", "data"]) # Load multiple categories
start_server(tools=["agentic_web_search"]) # Load a single tool
🤝 Contributing & Community
We welcome contributions! To add a new tool:
- Ensure the tool is pure Python (no external managed services, completely self-hosted).
- Create your tool under
agentic_store_mcp/modules/<category>/<tool_name>/containing:handler.pyschema.jsonREADME.mdtest_handler.py
- Run tests locally using
uv run pytest.
📜 License & Support
This project is licensed under the MIT License — free to use, modify, and distribute.
⭐ Enjoying Agentic Store MCP? If you find these tools useful, please star this repository on GitHub to help other developers discover free, open-source MCP tools for their AI workflows!
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