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DimensionReversecore MCPAI-powered reverse engineering and security analysisGitHub MCP ServerGitHub's official MCP server for managing repos, issues, PRs, and workflows via natural language
FMRS54 / 100 · D76 / 100 · B
Reliability10 / 2013 / 20
Security and permissions8 / 2014 / 20
Maintenance11 / 2018 / 20
Documentation13 / 2017 / 20
Setup experience12 / 2014 / 20
Best for
  • Security researchers and malware analysts
  • Teams that need natural-language orchestration across analysis engines
  • Developers performing binary, firmware, vulnerability, or forensic analysis
  • Teams that want an AI assistant to directly operate on GitHub repos and collaboration workflows
  • Users already in the GitHub Copilot ecosystem who want a zero-deployment remote option
Not for
  • General development tasks without security-analysis requirements
  • Users who want to handle untrusted samples without an isolated environment
  • Users seeking only basic file operations or general database capabilities
  • Scenarios where you don't want the assistant to have write access to repos (enable only read-only toolsets)
  • Environments with strict network isolation for private repos that can't reach the official remote endpoint
Required permissions
  • Access to the configured analysis workspace and sample files
  • A mounted local sample directory for Docker deployments
  • Optional API-key, upload-size, and rate-limit configuration in HTTP mode
  • Optional Redis, SQLite memory storage, and container sandbox access
  • A personal access token (PAT) or OAuth App token; effective scope depends on the token's own permissions
  • Enabling toolsets like actions/issues/pull_requests grants write access — request tokens on a least-privilege basis
Risks and side effects
  • Samples may be malicious or exploitative and should be analyzed in an isolated environment.
  • PoC generation, ROP construction, and vulnerability-research tools can create misuse risks.
  • Sandbox execution is disabled by default; dynamic analysis may run on the host unless enabled.
  • Misconfigured HTTP, uploads, or workspace mounts can increase file or network exposure.
  • Results can include inference; the project distinguishes OBSERVED, INFERRED, and POSSIBLE evidence.
  • Write toolsets (creating/merging PRs, triggering workflows) can cause accidental changes if the token is overscoped — try a read-only toolset first
  • In hosted mode, credentials travel via the Authorization header — make sure the client-to-api.githubcopilot.com connection is trusted
Supported clientsClaude Desktop, CursorClaude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains IDEs, Zed, Amp
Tools1215