koba-mcp-bridge

Extensible MCP bridge for AI agents, local tools, isolated compute workers, development automation, and reverse-engineering workflows.

Purpose

koba-mcp-bridge provides AI agents with a controlled interface to tools and workloads running on user-owned infrastructure.

The project is designed around a few core ideas:

• expose local and self-hosted tools through MCP;

• keep long-running or compute-heavy work outside the chat process;

• persist task state, logs, artifacts, and errors so work can survive interrupted sessions;

• isolate workers and constrain CPU, memory, storage, network, and filesystem access;

• support interactive workflows where a task can pause when user input or intervention is required;

• make integrations modular so new development and analysis tools can be added over time.

Related MCP server: production-grade-mcp-agentic-system

Initial direction

The first major integration is planned around reverse engineering with Ghidra. The bridge should eventually allow an agent to inspect program state, request decompilation and cross-references, run analysis scripts, manage longer analysis jobs, and persist useful findings without moving large project data into the chat context.

The architecture is not Ghidra-specific. Future integrations may include build systems, firmware tooling, Git workflows, device tooling, isolated command execution, and other local development services.

Planned architecture

AI client / MCP client
        |
        | MCP
        v
koba-mcp-bridge
        |
        +-- task/state management
        +-- logs and artifacts
        +-- policy / resource limits
        |
        +-- isolated workers
              |
              +-- Ghidra
              +-- executors
              +-- future integrations

The initial implementation is expected to use Python, MCP, FastAPI for management endpoints where useful, and Docker Compose for deployment and worker isolation.

Project status

Early design and bootstrap stage. APIs, storage layout, and worker interfaces are not stable yet.

License

MIT