MobSF MCP Server

Overview

The MobSF MCP Tool bridges the gap between mobile security analysis and conversational AI assistants. By exposing MobSF’s powerful static and dynamic analysis engine through the Model Context Protocol, developers can invoke deep APK or IPA scans directly from Claude, 5ire, or any MCP‑compatible client without leaving the chat interface. This eliminates manual file uploads and API calls, streamlining security workflows into a single conversational step.

Solving the Manual Analysis Bottleneck

Traditionally, using MobSF requires launching a web interface or interacting with its REST endpoints via scripts. Security analysts must download the mobile package, upload it through a browser, wait for the scan to finish, and then sift through a verbose report. The MCP server automates this entire pipeline: it receives the file, forwards it to MobSF’s API, triggers the scan, and retrieves a concise analysis summary. This automation removes repetitive manual steps, reduces context switching, and ensures that the latest MobSF version is always leveraged.

Core Capabilities

• File ingestion: Accepts and files from the AI client, uploads them to MobSF, and tracks upload status.
• Scan orchestration: Initiates a full MobSF scan (static, dynamic, or both) and polls for completion.
• Result filtering: Extracts a curated JSON summary, deliberately omitting large payloads such as raw strings or source code dumps to keep responses within AI message limits.
• MCP‑ready interface: Exposes a single tool that AI assistants can call with a natural‑language prompt like “scan myApp.apk”.

Real‑World Use Cases

• Security review in a sprint: A developer asks the assistant to analyze an incoming build, instantly receiving risk indicators and potential vulnerabilities.
• Continuous integration: An AI‑driven CI pipeline can trigger scans on every commit, summarizing findings in a concise report that developers can review within their chat platform.
• Threat hunting: Analysts can quickly test suspicious binaries by simply uploading them to the chat, letting the MCP server handle the heavy lifting.

Integration into AI Workflows

Once configured in an assistant’s section, the tool becomes a first‑class citizen in the conversation. Users can invoke it with natural language, receive structured JSON outputs that can be further processed by downstream tools or displayed in dashboards, and even chain the results with other MCP services. The server’s design ensures that large data transfers are avoided, keeping latency low and respecting the token limits of AI models.

Unique Advantages

• Zero‑code interaction: No need to write scripts; the entire scan process is triggered through a simple prompt.
• Security‑centric output: By filtering out verbose data, the server delivers actionable insights that fit within AI conversational constraints.
• Open‑source and extensible: Built on the MCP TypeScript SDK, it can be easily extended to support additional file types or custom MobSF endpoints.

In essence, the MobSF MCP Tool transforms a traditionally manual security assessment into an instant, conversational experience, empowering developers and analysts to incorporate mobile app scanning seamlessly into their AI‑enhanced workflows.