⚡ AgenticStore MCP: The Ultimate Open-Source AI Agent Toolkit

Supercharge your AI Assistant with 27 Powerful Model Context Protocol (MCP) Tools

🚀 Quick Start • 📋 Full Tool Directory • 🌐 Web Search • 🔌 Client Setup • 🖥️ GUI Webapp

🚀 Capabilities at a Glance

AgenticStore provides a robust Model Context Protocol (MCP) implementation for Claude Desktop, Cursor, and Windsurf. It functions as a self-hosted AI Agent Toolkit, enabling autonomous code review, web search via SearXNG, and persistent LLM memory.

AgenticStore MCP turns Claude Desktop, Cursor, and Windsurf into unstoppable autonomous agents. Get instant access to web search, codebase analysis, deep semantic memory, and a beautiful local GUI—all locally hosted, with absolutely zero subscriptions or vendor lock-in.

🔥 Why Choose AgenticStore MCP?

• 🔒 100% Privacy-First: Everything runs locally. Your code and data never leave your machine.

• 💸 Truly Free: No accounts, no paywalls, no subscriptions.

• 🧠 Persistent Agent Memory: Let your AI remember facts and contexts across sessions seamlessly.

• ⚡ Plug & Play: Installs instantly via uvx or pip.

📋 Table of Contents

• 🧰 What's Inside the Toolkit

• 🚀 Quick Start Guide (Fastest Way to Install)

  • V0: Python/uvx (Recommended)

  • V1: From GitHub Source

  • V2: MCP Hub Webapp (UI)

• 🔌 Connect to Your AI Client

• 🗂 Tool Directory — All 27 Tools

• 🔎 Enabling Web Search

• 🎛 Advanced Usage & CLI Flags

🧰 What's Inside the Toolkit

Equip your AI client with these 4 powerhouse modules containing 27 specific tools:

🚀 Quick Start Guide (Fastest Way to Install)

Pick the setup that best fits your workflow. Don't know which to pick? Start with V0.

1️⃣ Install via PyPI

pip install agentic-store-mcp --upgrade

(Or use uvx agentic-store-mcp if you have Astral's toolchain).

2️⃣ Run the MCP server

agentic-store-mcp

3️⃣ (Optional) Check your installation

agentic-store-mcp --version

4️⃣ Configure your AI Client
See the Connect to Your AI Client section to link it!

💡 Pro-Tip (Web Search): Want web search? Check out our Copy-Paste Config below. See Web Search Setup.

1️⃣ Install directly from the repository

pip install git+https://github.com/agenticstore/agentic-store-mcp.git

(Or using uv: uvx --from git+https://github.com/agenticstore/agentic-store-mcp.git agentic-store-mcp)

2️⃣ Run the MCP server

agentic-store-mcp

3️⃣ Configure your AI Client
See the Connect to Your AI Client section to link it!

Forget manual JSON editing! Use our local web UI to:

• 🔑 Connectors: Enter remote API keys securely (stored in OS keyring).

• 🛠️ Tools: Toggle which of the 27 tools to expose to the AI.

• 💻 Clients: Auto-generate configuration for Claude, Cursor, and Windsurf.

• 🧠 Memory: Manage persistent agent states, checkpoints, and logs.

Start the Hub via Python:

# Ensure it is installed via pip
pip install agentic-store-mcp --upgrade

# Launch the visual web controller
agentic-store-webapp 

Access it at: http://localhost:8765

🔌 Connect to Your AI Client

Add the configuration snippet to your respective client's config file. Remember to restart the client after saving!

Standard Copy-Paste Config

Basic Setup:

{
  "mcpServers": {
    "agentic-store-mcp": {
      "command": "agentic-store-mcp",
      "args": []
    }
  }
}

With Web Search (SearXNG) enabled:

{
  "mcpServers": {
    "agentic-store-mcp": {
      "command": "agentic-store-mcp",
      "args": [],
      "env": {
        "SEARXNG_URL": "http://localhost:8080"
      }
    }
  }
}

🗂 Tool Directory — All 27 Tools

Codebase Analysis

Analyze, search, and navigate your codebase flawlessly.

GitHub Integration

(Requires a GitHub Personal Access Token. Set via GITHUB_TOKEN or MCP Hub).

Security & Auditing

Agent-driven DevSecOps.

Persistent memory lets AI agents hand off work across sessions and restarts. 100% locally stored.

Storage Primitives

Productivity Layer

🔎 Enabling Web Search

To give your agent internet access, agentic_web_search uses a private SearXNG instance.

If you'd like to use a remote API or host your own container, simply append its URL.

Pass the environment variable to your AI Client:

{
  "mcpServers": {
    "agentic-store-mcp": {
      "command": "agentic-store-mcp",
      "args": [],
      "env": {
        "SEARXNG_URL": "http://localhost:8080"
      }
    }
  }
}

🎛 Advanced Usage & CLI Flags

Need granular control? Filter exactly what gets loaded via environment variables if integrating deeply without the web GUI.

# Debug: List what would be loaded and exit
agentic-store-mcp --list

🤝 Contributing & Community

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you'd like to contribute code or improvements, please fork the repository and create a Pull Request.

⭐ If this toolkit saved you 10 hours of configuration, please give us a star to help others find it!

📜 License & Support

This project is licensed under the MIT License — free to use, modify, and distribute. See LICENSE for details.

⭐ Manage Everything Easier via the Webapp: agentic-store-webapp Built with ❤️ by AgenticStore.dev — Open-source AI tooling for everyone.