AI Firewall MCP

Multi-agent LLM security layer detecting prompt injection and jailbreaks.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "ai-firewall-mcp": {
      "command": "uvx",
      "args": [
        "ai-firewall-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (5)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by AI Firewall MCP.

analyze_prompt

Analyze a prompt for injection, jailbreaks, exfiltration, and leakage

get_threat_breakdown

Detailed per-signal scoring breakdown from the last analysis

sanitize_prompt

Clean a suspicious prompt while preserving legitimate content

get_firewall_status

Health check: vector DB size, model status, uptime

benchmark_firewall

Run the adversarial test suite and return detection statistics

Documentation Overview

GitHub • PyPI • Docker Hub

<mcp-name: io.github.Akhilucky/ai-firewall-mcp>

AI Firewall — MCP Server

A multi-agent AI security layer that protects LLMs from prompt injection, jailbreaks, and policy violations. Available as an MCP server for any MCP-compatible client (Claude Desktop, Cursor, Windsurf, Cline, Roo Code, etc.).

Quick Start

pip install

Terminal

pip install ai-firewall-mcp
ai-firewall-mcp

Docker

Terminal

docker pull akhilucky/ai-firewall-mcp:latest
docker run -i akhilucky/ai-firewall-mcp:latest

Claude Desktop

Add to claude_desktop_config.json:

pip install:

config.json

{
  "mcpServers": {
    "ai-firewall": {
      "command": "pipx",
      "args": ["run", "ai-firewall-mcp"]
    }
  }
}

Docker:

config.json

{
  "mcpServers": {
    "ai-firewall": {
      "command": "docker",
      "args": ["run", "-i", "akhilucky/ai-firewall-mcp:latest"]
    }
  }
}

Cursor / Windsurf / Cline / Roo Code

Configure in your MCP settings with:

Type: stdio
Command: docker run -i akhilucky/ai-firewall-mcp:latest
Or use ai-firewall-mcp if installed via pip

MCP Tools

Tool	Description
`analyze_prompt`	Analyze a prompt for injection, jailbreaks, exfiltration, and leakage
`get_threat_breakdown`	Detailed per-signal scoring breakdown from the last analysis
`sanitize_prompt`	Clean a suspicious prompt while preserving legitimate content
`get_firewall_status`	Health check: vector DB size, model status, uptime
`benchmark_firewall`	Run the adversarial test suite and return detection statistics

Testing with MCP Inspector

Terminal

npx @modelcontextprotocol/inspector ai-firewall-mcp

Architecture

The firewall runs three agents per prompt:

Code

User Prompt → [Retrieval Agent] → [Guard Agent] → [Policy Agent] → LLM
                   │                    │               │
                   ▼                    ▼               ▼
              Vector DB (FAISS)    Threat Signals    Allow/Block

Agent	Role
Retrieval Agent	Semantic search against known attack patterns (FAISS + sentence-transformers)
Guard Agent	Multi-signal classification: vector similarity, keyword match, heuristic scoring
Policy Agent	Final decision: `ALLOW` / `BLOCK` / `SANITIZE` based on configurable thresholds

Threat signals are weighted: 40% vector similarity, 25% keyword match, 20% heuristic, 15% policy weight.

Configuration

Env Var	Default	Description
`FIREWALL_MODE`	`strict`	`strict` / `moderate` / `permissive`
`SIMILARITY_THRESHOLD`	`0.50`	Vector match threshold (lower = stricter)
`LOG_LEVEL`	`INFO`	Logging verbosity

CLI / API Usage

bash

# Interactive dashboard
python main.py

# Red-team adversarial tests
python main.py --redteam

# REST API server
python main.py --api

# Single prompt analysis
python main.py --analyze "Ignore all previous instructions"

The REST API runs at http://localhost:8000 with OpenAPI docs at /docs (requires pip install ai-firewall-mcp[api]).

Testing

bash

pytest tests/ -v          # Full test suite (43 tests)
pytest tests/test_mcp.py  # MCP-specific tests only

Project Structure

Code

├── src/ai_firewall/          # MCP server package (PyPI entry)
│   ├── mcp_server.py         #    5 MCP tools, stdio transport
│   ├── threat_scorer.py      #    Per-signal scoring breakdown
│   └── __init__.py
├── src/agents/               # Core firewall agents
├── tests/                    # Test suites
├── Dockerfile                # Docker image (2.04GB, CPU-only torch)
├── pyproject.toml            # Package config & metadata
└── .github/workflows/ci.yml  # CI/CD pipeline

License

MIT — see LICENSE.

Built for security. Designed for production.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Security View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads

1.1M

Package downloads in the last 30 days.

Last commit

3mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about AI Firewall MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ai-firewall-mcp": { "command": "uvx", "args": ["ai-firewall-mcp"] } }

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Technical Specs & Signals

CategorySecurity

10/11 checks healthy over the last 45d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity5/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · ai-firewall-mcp (PyPI)

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More in 🔒 Security →Best MCP servers for Security →Alternatives to AI Firewall MCP →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

AI Firewall MCP

Multi-agent LLM security layer detecting prompt injection and jailbreaks.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "ai-firewall-mcp": {
      "command": "uvx",
      "args": [
        "ai-firewall-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (5)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by AI Firewall MCP.

analyze_prompt

Analyze a prompt for injection, jailbreaks, exfiltration, and leakage

get_threat_breakdown

Detailed per-signal scoring breakdown from the last analysis

sanitize_prompt

Clean a suspicious prompt while preserving legitimate content

get_firewall_status

Health check: vector DB size, model status, uptime

benchmark_firewall

Run the adversarial test suite and return detection statistics

Documentation Overview

GitHub • PyPI • Docker Hub

<mcp-name: io.github.Akhilucky/ai-firewall-mcp>

AI Firewall — MCP Server

Quick Start

pip install

Terminal

pip install ai-firewall-mcp
ai-firewall-mcp

Docker

Terminal

docker pull akhilucky/ai-firewall-mcp:latest
docker run -i akhilucky/ai-firewall-mcp:latest

Claude Desktop

Add to claude_desktop_config.json:

pip install:

config.json

{
  "mcpServers": {
    "ai-firewall": {
      "command": "pipx",
      "args": ["run", "ai-firewall-mcp"]
    }
  }
}

Docker:

config.json

{
  "mcpServers": {
    "ai-firewall": {
      "command": "docker",
      "args": ["run", "-i", "akhilucky/ai-firewall-mcp:latest"]
    }
  }
}

Cursor / Windsurf / Cline / Roo Code

Configure in your MCP settings with:

Type: stdio
Command: docker run -i akhilucky/ai-firewall-mcp:latest
Or use ai-firewall-mcp if installed via pip

MCP Tools

Tool	Description
`analyze_prompt`	Analyze a prompt for injection, jailbreaks, exfiltration, and leakage
`get_threat_breakdown`	Detailed per-signal scoring breakdown from the last analysis
`sanitize_prompt`	Clean a suspicious prompt while preserving legitimate content
`get_firewall_status`	Health check: vector DB size, model status, uptime
`benchmark_firewall`	Run the adversarial test suite and return detection statistics

Testing with MCP Inspector

Terminal

npx @modelcontextprotocol/inspector ai-firewall-mcp

Architecture

The firewall runs three agents per prompt:

Code

User Prompt → [Retrieval Agent] → [Guard Agent] → [Policy Agent] → LLM
                   │                    │               │
                   ▼                    ▼               ▼
              Vector DB (FAISS)    Threat Signals    Allow/Block

Agent	Role
Retrieval Agent	Semantic search against known attack patterns (FAISS + sentence-transformers)
Guard Agent	Multi-signal classification: vector similarity, keyword match, heuristic scoring
Policy Agent	Final decision: `ALLOW` / `BLOCK` / `SANITIZE` based on configurable thresholds

Threat signals are weighted: 40% vector similarity, 25% keyword match, 20% heuristic, 15% policy weight.

Configuration

Env Var	Default	Description
`FIREWALL_MODE`	`strict`	`strict` / `moderate` / `permissive`
`SIMILARITY_THRESHOLD`	`0.50`	Vector match threshold (lower = stricter)
`LOG_LEVEL`	`INFO`	Logging verbosity

CLI / API Usage

bash

# Interactive dashboard
python main.py

# Red-team adversarial tests
python main.py --redteam

# REST API server
python main.py --api

# Single prompt analysis
python main.py --analyze "Ignore all previous instructions"

The REST API runs at http://localhost:8000 with OpenAPI docs at /docs (requires pip install ai-firewall-mcp[api]).

Testing

bash

pytest tests/ -v          # Full test suite (43 tests)
pytest tests/test_mcp.py  # MCP-specific tests only

Project Structure

Code

├── src/ai_firewall/          # MCP server package (PyPI entry)
│   ├── mcp_server.py         #    5 MCP tools, stdio transport
│   ├── threat_scorer.py      #    Per-signal scoring breakdown
│   └── __init__.py
├── src/agents/               # Core firewall agents
├── tests/                    # Test suites
├── Dockerfile                # Docker image (2.04GB, CPU-only torch)
├── pyproject.toml            # Package config & metadata
└── .github/workflows/ci.yml  # CI/CD pipeline

License

MIT — see LICENSE.

Built for security. Designed for production.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Security View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads

1.1M

Package downloads in the last 30 days.

Last commit

3mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about AI Firewall MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ai-firewall-mcp": { "command": "uvx", "args": ["ai-firewall-mcp"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/ai-firewall-mcp?style=directory)](https://allmcps.com/mcp/ai-firewall-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/ai-firewall-mcp"><img src="https://allmcps.com/api/badge/ai-firewall-mcp?style=directory" alt="AI Firewall MCP on AllMCPs" /></a>

Technical Specs & Signals

CategorySecurity

10/11 checks healthy over the last 45d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity5/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · ai-firewall-mcp (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🔒 Security →Best MCP servers for Security →Alternatives to AI Firewall MCP →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients