"Help with creating and importing data into spreadsheets/tables" matching MCP servers:

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.

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.

Privacy-first OSINT scanning MCP server that aggregates ~25 sources into a risk report, running locally with no data leaving your machine.

Exports vulnerability and asset data from Rapid7 Command Platform via the Bulk Export API into a local DuckDB database, enabling AI assistants to run natural language queries and SQL analysis with sandboxed security.

Open behavioral litmus for MCP servers — grades A–F across tool-output injection, egress, sensitive-data, and adversarial-input, with reproducible, content-addressed evidence. Tools: run_litmus, verify_attestation.

Converts Claude into a cybersecurity assistant by exposing 17 tools for network reconnaissance, cryptography, and security analysis, enabling users to perform tasks like SSL certificate checking, port scanning, and JWT analysis directly within conversations.

Enables searching and analyzing CVEs and vulnerabilities from multiple sources, optimized for PR review scenarios to help developers identify the latest security issues.

Enables interaction with the APVISO AI-powered penetration testing platform to manage targets, initiate scans, and retrieve vulnerability findings. It allows developers to integrate security testing workflows directly into MCP-compatible tools like Claude Code and Cursor.

A local MCP server that scans repository dependencies for known vulnerabilities (CVEs) using OSV.dev, enriches findings with NVD and CISA KEV data, and supports triage, remediation, and accepted risk management directly from an AI coding assistant.

A universal digital fingerprinting MCP server that combines 103 techniques across TCP, TLS, SSH, HTTP, DNS, and more into a single interface for AI agents, enabling full-spectrum fingerprinting on demand.

Unified MCP server integrating NIST and OWASP security frameworks with live vulnerability data, enabling security searches, compliance mapping, threat modeling, and checklist generation.

Enables AI assistants to natively execute and manage 600+ Kali Linux security, penetration testing, and forensic tools, including search, help documentation, structured scanners, and workspace management.

Enables AI assistants to query RoboShadow's Rubicon Platform Data API for read-only endpoint security, asset inventory, applications, users, vulnerabilities, and remediation status data.

Provides AI agents with 37 OSINT tools and 12 data sources to perform unified reconnaissance, domain analysis, and attack surface mapping. It enables agents to query, correlate, and reason across platforms like Shodan, VirusTotal, and Censys in parallel.

A comprehensive reconnaissance toolset that provides AI agents with 37 tools across 12 data sources like Shodan and VirusTotal for automated intelligence gathering. It enables agents to perform domain reconnaissance, attack surface mapping, and cross-platform data correlation within a single conversational interface.

Integrates ProjectDiscovery security tools to perform automated reconnaissance, subdomain discovery, and vulnerability scanning. It enables comprehensive bug hunting workflows by chaining tools like subfinder, naabu, and nuclei into a unified pipeline.

Turns Claude into a penetration testing copilot with 80 security tools, safety controls, and automatic reporting.

Enables an AI agent to statically triage local binaries and APKs by extracting and classifying strings, flagging hardcoded secrets, detecting file types, checking exploit-mitigation flags, and auditing Android manifests. Results from all tools can be merged into a single structured report with a summary findings list.

Enables AI assistants and the WYRE Conduit gateway to access Telivy's security assessment data for MSPs, including external scans, deep-scan risk assessments, device inventory, M365/Google Workspace user exposure, PII summaries, and finding-level details.

An MCP security toolkit that integrates Burp-style HTTP proxying, AI-driven vulnerability hunting, source code auditing, and reporting into AI coding agents, enabling authorized security testing of web applications and source code.

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.

Living off the Land intelligence for AI agents. GTFOBins, LOLBAS, LOOBins, LOLDrivers, LOLRMM, WADComs, LOLC2 and more — unified into a single MCP server.

Wraps the recon CLIs security researchers already use (subfinder, httpx, nmap, ffuf, nuclei) into a single MCP server so an LLM agent can plan and execute reconnaissance itself — passive subdomain/DNS/wayback discovery, active port scanning, WAF detection and origin-bypass checks, endpoint fuzzing, and nuclei scans. Structured JSON results carry scan tokens that let the agent chain one step's output into the next without re-typing targets.

Unifies seven open-source security scanners into one MCP interface, normalizing and deduplicating findings with AI-assisted triage, patch verification, and reports. Enables agents to scan source code, dependencies, secrets, containers, infrastructure-as-code, and authorized live targets under server-enforced safety limits.

Enables deterministic security testing of AI agents that use tools by serving synthetic MCP environments with poisoned data, fake secrets, and privileged actions. Records agent tool calls and evaluates security invariants (e.g., canary leaks, forbidden access, approval binding) without an LLM judge or real systems.

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 agents to drive an end-to-end reverse-engineering loop on protected binaries: launch and dump live processes, rebuild memory images into file-aligned PEs with repaired imports, map Delphi RTTI methods, scan strings/entropy/xrefs, emulate code, and decompile through Ghidra or .NET. It also supports scripted live x64 and WOW64 debugging with breakpoints, registers, and module dumps exposed as callable tools.

Enables authorized pentest and bug bounty workflows from any MCP client, with scoped recon, per-host rate limits, and scanner output turned into deduplicated, triaged finding cards.

Enables users to interact with AFL++ for fuzzing workflows, including creating workspaces, instrumenting targets, starting/stopping fuzzing jobs, and triaging findings.