ByteRay AI vs Binary Ninja MCP
A side-by-side look at the ByteRay AI and Binary Ninja MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
B
ByteRay AISecurityAI-augmented binary vulnerability analysis with 38 MCP tools for taint tracing and zero-day hunting38FairAuth: not declaredVerdict: choose ByteRay AI for security work; choose Binary Ninja MCP for security as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Binary Ninja MCP when
- You need dedicated capabilities in the Security domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
list_methods, get_entry_points, search_functions_by_name.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | B ByteRay AI | |
|---|---|---|
| Category | Security | Security |
| Quality signal | 38/100 · Fair | 71/100 · Great |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | — | 455 |
| Directory activity | 1 views 0 installs 0 upvotes | 5 views 1 installs 0 upvotes |
| Tools | Not listed | 54 |
| Full listing | View ByteRay AI | View Binary Ninja MCP |
Tools & capabilities
ByteRay AI tools
No tool names declared yet. Check the project README from the listing page.
Binary Ninja MCP tools 54
list_methodsList all function names in the program with pagination.get_entry_pointsList entry point(s) of the loaded binary.search_functions_by_nameSearch for functions whose name contains the given substring.decompile_functionDecompile a specific function by name and return the decompiled C code.get_ilGet IL for a function in the selected view (hlil, mlil, llil).fetch_disassemblyRetrieve the disassembled code of a function as assembly mnemonic instructions.rename_functionRename a function by its current name. The configured prefix will be automatically prepended if not present.rename_single_variableRename a variable in a function.rename_multi_variablesRename multiple local variables in one call.rename_dataRename a data label at the specified address.set_commentSet a comment at a specific address.get_commentGet the comment at a specific address.- +42 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
ByteRay AI
No confirmed install command for ByteRay AI yet — follow the setup steps linked from its listing page rather than a guessed package name.
Binary Ninja MCP
{
"mcpServers": {
"fosdickio-binary-ninja-mcp": {
"command": "npx",
"args": [
"-y",
"binary-ninja-mcp"
]
}
}
}
Frequently asked questions
ByteRay AI is categorized under Security and uses an install path we have not confirmed yet. Binary Ninja MCP belongs to Security and uses a local stdio subprocess. Pick ByteRay AI for security work and Binary Ninja MCP for security.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. ByteRay AI has no confirmed install command yet — follow its own setup instructions.
ByteRay AI has no declared pricing — check the project's own site. Binary Ninja MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add byteray-ai and fosdickio-binary-ninja-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, ByteRay AI has a quality signal of 38/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Binary Ninja MCP has 71/100 (Great) with 5 views, 1 installs and 455 GitHub stars.