Frida
This Frida MCP server implementation provides AI assistants with dynamic instrumentation capabilities for Android applications through Frida's runtime manipulation framework. Built with Python and integrating with ADB for device management, it handles frida-server deployment, port forwarding, USB and remote device connections, and application spawning/attachment workflows. The implementation includes robust device management with automatic fallback connection methods, process lifecycle control, and application enumeration, making it particularly useful for mobile security research, reverse engineering workflows, and automated dynamic analysis of Android applications where AI assistance is needed for complex instrumentation tasks.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/zhizhuodemao/frida-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Frida from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.