AgenticStore MCP Server

1

Add it to Claude Code

Run this in a terminal.

Run in terminal
claude mcp add agentic-store -- uvx agentic-store-mcp
README.md

LLM Prompt Firewall & AI Security Toolkit for Claude, Cursor, and Windsurf

⚡ AgenticStore MCP Server: LLM Prompt Firewall & AI Security Toolkit

Open-Source Model Context Protocol (MCP) Server for Data Privacy, Prompt Recording, Audit Logs, and 27+ Agent Tools for Claude, Cursor, and Windsurf.

🚀 Quick Start🛡️ Prompt Firewall🗂️ Full Tool Directory🌐 Web Search🔌 Client Setup🖥️ GUI Webapp


🔒 Why You Need This: Enterprise-Grade AI Security Meets Autonomous Agents

Giving AI assistants like Claude, Cursor, and Windsurf access to your codebase and the web is a superpower. But passing sensitive enterprise data to remote LLMs is a massive security risk.

The Problem: You want the massive productivity boost of agentic workflows, but you cannot compromise on Data Loss Prevention (DLP), compliance, or leak prevention.

The Solution: AgenticStore MCP Server solves both halves of the equation:

  • 🛡️ The LLM Prompt Firewall: A secure local proxy that intercepts, scans, and sanitizes your prompts before they leave your machine. It flags leaked secrets, PII, and API keys, using local models (like Ollama) to sanitize data and generate strict audit traces for all AI usage.
  • 🧰 The MCP Toolkit: A robust, production-ready arsenal of 27 tools. Instantly arm your AI with everything from self-hosted SearXNG web search to deep, persistent semantic memory.

Zero subscriptions. Zero vendor lock-in. Configure your MCP tools manually or effortlessly through a beautiful local GUI.


🎥 Prompt Firewall Demo

(If the video above doesn't load, click here to watch the demo)

🎥 Watch the GUI Demo in Action (MCP Tools)

(If the video above doesn't load, click here to watch the demo)

🏗️ How It Works

🔥 Why Choose AgenticStore MCP?

Feature AgenticStore MCP Server Standard MCP Servers
AI Security & Prompt Firewall 🛡️ Yes (Proxy & Rule-based DLP) ❌ No
Audit Traces & Logs 📝 Yes (Prompt recording & compliance) ❌ No
Local LLM Prompt Sanitization 🦙 Yes (Ollama integration) ❌ No
Persistent Agent Memory 🧠 Yes (survives restarts & sessions) ❌ No
Agentic Web Search 🌐 Self-hosted SearXNG ❌ Usually No
Capabilities 🛠️ 27+ specialized tools ⛏️ 1 to 5 basic tools
Configuration 🖥️ Web GUI Dashboard OR ⚙️ Manual ⚙️ Manual JSON setup
Privacy 🔒 100% Local Execution 🔒 Varies
  • 🛡️ LLM Prompt Firewall: Intercept, sanitize, and perform prompt recording for all data leaving your system, ensuring robust AI security.
  • 🔒 100% Privacy-First: Everything runs locally. Generate reliable audit traces for AI usage while your code and data never leave your machine unaudited.
  • 💸 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. MCP configuration supports both manual JSON and GUI workflows.

📋 Table o

Tools (3)

web_searchPerforms web searches using self-hosted SearXNG.
prompt_sanitizeSanitizes prompts by removing PII and secrets using local models.
memory_storeStores and retrieves persistent agent memory across sessions.

Environment Variables

OLLAMA_BASE_URLURL for local Ollama instance used for prompt sanitization.

Configuration

claude_desktop_config.json
{"mcpServers": {"agentic-store": {"command": "uvx", "args": ["agentic-store-mcp"]}}}

Try it

Search the web for the latest updates on the Model Context Protocol.
Sanitize this prompt before I send it to the LLM: [insert sensitive text].
Remember that my project uses Python 3.12 and FastAPI for future sessions.
Retrieve my saved context regarding the current project architecture.

Frequently Asked Questions

What are the key features of AgenticStore?

LLM Prompt Firewall for intercepting and sanitizing prompts locally.. Data Loss Prevention (DLP) by flagging leaked secrets and PII.. Persistent agent memory that survives session restarts.. Self-hosted web search integration via SearXNG.. Comprehensive audit logs for all AI usage and interactions..

What can I use AgenticStore for?

Preventing accidental leakage of API keys or PII in enterprise AI workflows.. Maintaining consistent project context across multiple AI chat sessions.. Enabling secure, private web research for AI agents without third-party tracking.. Generating compliance audit traces for AI-assisted coding tasks..

How do I install AgenticStore?

Install AgenticStore by running: uvx agentic-store-mcp

What MCP clients work with AgenticStore?

AgenticStore works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Turn this server into reusable context

Keep AgenticStore docs, env vars, and workflow notes in Conare so your agent carries them across sessions.

Need the old visual installer? Open Conare IDE.
Open Conare