"Pine Script v6 Python integration or comparison" matching MCP servers:

Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.

Enables dynamic instrumentation of processes by attaching Frida, loading JavaScript scripts, calling RPC methods, and retrieving script output through MCP.

Enables coding agents and CI/CD pipelines to audit untrusted code by detecting Python sandbox escapes, SQL injection taint, ReDoS regex vulnerabilities, and CORS misconfigurations, while generating Seccomp BPF filters for safer execution.

Enables agents and CI pipelines to audit MCP servers and agent tool-chains by statically scanning repositories, local checkouts, tools/list exports, or live endpoints for risks such as destructive actions without confirmation, mismatched safety annotations, injection surfaces, credential or PII exposure, and unguarded command, path, or URL sinks. All checks are read-only and never execute the scanned code or call tools/call.

A scope-aware bug-bounty & reconnaissance MCP server that works out of the box on the Python standard library and augments itself with your favourite CLI tools when they're present.

Enables AI assistants to perform authorized web security assessments through MCP tools and a guided review prompt, including passive and full scans, WAF detection, remediation fixes, report export, triage, scan comparison, and proof-of-control verification.

Gives AI agents a browser that bypasses bot detection, a MITM proxy for traffic interception, and a Python sandbox to autonomously write and execute security exploits.

Enables AI assistants to perform domain reconnaissance using theHarvester OSINT tool, including email harvesting, subdomain discovery, DNS brute force, and Shodan integration, via SSH on a Kali Linux host.

Enables security inspection of MCP tool metadata by analyzing tool names, descriptions, and input schemas, and returning SAFE, REVIEW, or HIGH RISK verdicts through the analyze_tools tool.

Enables AI coding assistants to inspect ELF, PE, and Mach-O binaries for hardening mitigations and high-risk symbols, and to triage source or decompiled code against MITRE CWE patterns through MCP tools.

Enables structured HTTP request creation and local file ingestion for LLM integration with Burp Suite, reducing malformed requests and token costs.

Provides 28 MCP tools across 16 analysis engines for comprehensive Python code quality assessment, including complexity scoring, security scanning, dead code detection, dependency auditing, and test quality analysis.

A Model Context Protocol (MCP) server for Kerberos abuse operations using Rubeus on Windows or Impacket on Linux/macOS.

Talk to your Flipper Zero from Claude Code — or any MCP client. Storage, app deployment, screen capture, button automation, JavaScript execution on the device, and honest answers about what is nearby.

Enables integration with Beagle Security API for managing security testing projects, applications, domain verification, and automated penetration tests. Provides 18 tools for creating, monitoring, and retrieving results from security assessments.

GDB MCP server for binary security research (reverse engineering / PWN) with first-class pwndbg integration, enabling heap analysis, cyclic pattern, checksec, ROP gadgets, and more via MCP protocol.

Exposes Evan's Debugger (EDB) features as MCP tools, enabling AI-driven debugging, reverse engineering, and exploit development with 147 tools including program control, breakpoints, memory analysis, ROP gadgets, and pwntools integration.

Enables AI agents and automation to perform Ghidra reverse-engineering tasks through MCP, including decompilation, live debugging, P-code emulation, data-flow analysis, and headless script execution, with specialized AArch64-aware emulation.

Enables generating falsifiable fleet hypotheses, compiling them into minimal bounded probe plans with control cohorts, and evaluating observations to return supported, refuted, or inconclusive verdicts.

Enables an AI runtime to perform authorized static analysis of Android APKs over local MCP stdio, inspecting inventories, DEX/ELF headers and manifest details while decompiling with verified, checksum-pinned JADX and Apktool engines it can bootstrap itself. Reports results as evidence-backed observations, with literal text search, two-APK comparison and Markdown summaries, without ever executing the target APK.

A Frida MCP server for authorized dynamic analysis and application security research, exposing device/session management, script injection, process and memory inspection, and platform-specific workflows.

Integrates Snyk security scanning with MCP clients like Claude Code, enabling listing of projects, querying issues by severity, and filtering by project or scope.

Enables MCP clients such as Cursor, Claude Desktop, and Claude Code to run deterministic static-analysis tools for scanning projects, listing entry points and reachable sinks, tracing taint paths, explaining findings, and checking sanitizers without API keys or network access.

A Model Context Protocol (MCP) server for integrating with StackHawk's security scanning platform. Helps developers set up StackHawk, run security scans, and triage findings to fix vulnerabilities — all from within an LLM-powered IDE or chat.

Enables triggering GuardBee security scans via natural language, checking scan status, filtering findings by severity or ID, and obtaining AI-assisted remediation guidance.

Enables comprehensive TLS security audits for any domain, including certificate validity, expiry warnings, cipher suite weaknesses, deprecated protocols, and HSTS checks. Supports single and bulk domain inspection via MCP tools or a CLI for CI/CD integration.

Bridges AI agents with SafeBreach's Breach and Attack Simulation platform, enabling natural language queries and seamless integration through a multi-server architecture with specialized domains.

Exposes the ASC APK-as-database analysis engine as MCP tools, enabling AI clients to run fast cross-reference searches, string/secret recon, class and member inspection, manifest and component extraction, and parallel batch queries across many APKs without full decompilation. All tools are stateless and process-isolated, so multiple clients can query single or multiple APK analysis sessions concurrently.

Enables PE coordinate and RVA-based driver analysis, structured evidence collection, and direct WinDbg pairing for debugging and runtime byte comparison from Binary Ninja.

Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.