pulsemcp Safe content atomic mcp-remote

Binary Ninja

Binary Ninja MCP Server provides a bridge between Cline and Binary Ninja for analyzing binary files through the Model Context Protocol. It leverages Binary Ninja's personal license capabilities to offer tools for retrieving binary metadata, listing functions, disassembling code, and decompiling functions to C. The implementation consists of a JavaScript bridge that connects to a Python HTTP server, which in turn communicates with Binary Ninja's API, making it particularly valuable for reverse engineering tasks where users need AI assistance to understand complex binaries without switching contexts.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/opensensor/bn_cline_mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve Binary Ninja 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"