feat: Add Reversecore MCP server to community list

[sjkim1127]

Description

This PR adds Reversecore MCP, a Python-based reverse engineering server, to the community servers list. It integrates industry-standard tools like Radare2, Ghidra, YARA, and Capstone to enable secure binary analysis via LLMs.

Server Details

• Server: Reversecore MCP
• Changes to: README.md

Motivation and Context

Reverse engineering binaries requires complex toolchains that are often difficult to integrate with LLMs due to context limits and security risks.
Reversecore MCP solves this by:

1. Security-First: Running in a sandboxed Docker container with read-only mode support.
2. Performance: Optimized O(n) JSON parsing and streaming for large binary analysis.
3. Capability: Providing high-level features like C++ structure recovery, cross-reference analysis, and safe ESIL emulation.

How Has This Been Tested?

• Clients Tested: Verified functionality with Gemini CLI and Cursor AI (via stdio transport).
• Test Coverage: The project includes over 300 unit/integration tests (pytest).
• Benchmarks: Validated performance with 10MB+ binaries to ensure no timeouts occur during analysis.
• Security: Passed CodeQL and Trivy security scans.

Breaking Changes

• No. This is a new addition to the community server list.

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)
• Documentation update

Checklist

• I have read the MCP Protocol Documentation
• My changes follows MCP security best practices
• I have updated the server's README accordingly
• I have tested this with an LLM client
• My code follows the repository's style guidelines
• New and existing tests pass locally
• I have added appropriate error handling
• I have documented all environment variables and configuration options

Additional context

Repository: https://github.com/sjkim1127/Reversecore_MCP

Key technical features include:

• FastMCP framework implementation.
• Dockerized environment ensuring consistent tool versions (Radare2, Ghidra).
• Safe execution patterns (no shell=True, strict input validation).

[domdomegg]

Thanks for the PR! Please move this to the community servers section (instead of official integrations) and we can get this merged.