"Resources and Assistance in Embedded Programming, C, and C++" matching MCP servers:

Enables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.

Comprehensive forensic analysis MCP server enabling AI agents to analyze files, Chromium and Firefox browser artifacts, with VirusTotal, DIE, Binwalk integrations.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

Enables AI agents to analyze memory dumps for forensic investigation, leveraging a fast Rust engine and full Volatility3 plugin coverage via the Model Context Protocol.

Enables AI agents to analyze PCAP files for network forensics using Wireshark/tshark, providing high-performance packet inspection, filtering, and protocol analysis through the Model Context Protocol.

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil

Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.

MCP server integrating Rizin reverse engineering, RzGhidra decompiler, and capa for binary analysis, enabling LLMs to open binaries, identify capabilities, extract function addresses, and decompile to C pseudocode.

MCP server for CDN source origin tracing and IP intelligence, enabling DNS resolution, CNAME tracking, C-segment scanning, web fingerprinting, and host collision detection for asset reconnaissance.

Generates syscall code (C, C++, Rust, NIM) using various hooking methods, and includes an MCP server for AI assistants to produce syscall stubs.

Gives AI agents and LLMs deep, queryable access to a codebase's structure and data flow through Joern Code Property Graphs. Enables running CPGQL queries, tracing data flow and taint, slicing programs, and hunting vulnerabilities across languages like Java, C/C++, JavaScript, Python, Go, and more.

Gives AI agents and LLMs queryable access to a codebase's structure and data flow by building Joern Code Property Graphs from a Git repository, local path, or pasted snippet. Enables running CPGQL queries, tracing data flow and taint, slicing programs, and hunting vulnerabilities across languages such as Java, C/C++, JavaScript, Python, Go, and Swift.

MCP server for auditing infrastructure-as-code attack paths, finding multi-hop chains from public internet to sensitive resources.

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

Connects an AI assistant to an already-running mitmweb session so it can read, search, diff, replay, and generate code from the same network flows shown in the UI.

Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

Enables Solidity developers and security auditors to decode EVM calldata, pinpoint revert locations in debug traces, calculate storage slot layouts, and scan contracts for reentrancy and Yul assembly issues.

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

Connects AI assistants to AttackForge's Self-Service API with full endpoint coverage, response size optimization, and local caching for efficient use in long conversations.