"Finding Ohad Zafrir's LinkedIn Profile" matching MCP servers:

Enables AI agents to publish text and link posts, comment, react, and delete posts on LinkedIn through the official OAuth API, with every write gated behind human approval via a two-phase prepare/execute flow. Includes exact-match digests, single-use expiring proposals, daily write caps, and private local token storage with zero third-party dependencies.

Enables MCP-compatible agents to route HTTP requests through the Tor network, providing anonymity and access to .onion services. Includes tools for fetching URLs, checking exit IP, and forcing new Tor circuits.

MCP server providing LinkedIn profile and page access via a stateless OAuth proxy, enabling Claude or MCP clients to interact with LinkedIn data.

Offline MCP server that checks and scans your own AI prompts and outputs against a local compliance rule corpus. Returns rule ID, severity, citation, and remediation per finding — no API key, Apache 2.0.

PCI DSS v4.0.1 compliance scanner for Go payment services, delivered as an MCP server. Every finding maps to a specific PCI DSS requirement ID. Taint-aware cardholder data flow analysis with PCI SSC FAQ semantics, designed to complement broad SAST tools like Semgrep and CodeQL - not replace them.

Vet ClawHub skills before installing them; detects prompt-injection, exfiltration, and other security issues, outputting a risk score with per-finding evidence.

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

Enables AI agents to access authenticated websites by reusing your existing browser profile and cookies, so you never share passwords and sessions persist between runs.

Enables agents to sign into websites through a real browser without exposing passwords, keeping cookies in a local Chrome profile and providing tools for browsing and managing authenticated sessions.

A Model Context Protocol server that enables AI assistants to read and safely modify TP-Link Omada networks through capability-gated tools, with a default read-only profile and dry-run writes for security.

Enables reviewing GitHub Actions workflows for outdated actions, deprecated Node runtimes, retired runners, deprecated commands, and security risks, with file, line, and fix for each finding.

MCP server for DefectDojo vulnerability management, exposing 24 tools for managing products, engagements, tests, findings, scan imports, and finding lifecycle through the Model Context Protocol.

Indexes a workspace and exposes code-navigation tools to Codex, enabling symbol lookup, reference finding, dependency analysis, and security audit for local codebases.

MCP server for 1C:БИТ with a knowledge base of user instructions (full-text search) and RBAC access profiles (keyword-based profile suggestion, roles matrix, validation, approval levels).

Enables read-only access to Circle parental-control data, including family profiles and per-profile internet usage.

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.

Enables MCP clients to enforce CHP Profile B spend gates, issue and verify signed tool-approval receipts, and audit denied or authorized finance actions.

A read-only Model Context Protocol server that exposes DefectDojo API v2 findings to AI agents, enabling vulnerability triage across products and drafting of self-contained tracker issues. It provides tools to list products, filter findings by severity, group critical findings by unique vulnerability, and fetch full finding details.

Enables querying WhatsApp OSINT API to gather intelligence on WhatsApp numbers, including business verification, user status, privacy settings, linked devices, and profile pictures.

AI-powered bug bounty hunting platform that integrates security tools (OWASP ZAP, Caido, Burp Suite) for automated reconnaissance, vulnerability testing, JavaScript analysis, and finding management with PostgreSQL storage.

Enables users to query BloodHound Active Directory graph data using natural language, finding attack paths, Kerberoastable accounts, and other AD security insights.

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.

MCP server for ArmorCode security platform enabling finding triage, scans, exceptions, risk scores, and release gate checks via natural language.

Give your AI agents direct access to live honeypot threat intelligence. Look up attacker IPs, browse indicators of compromise (IOCs), inspect captured credentials and malware payloads, profile threat actors, and render a real-time global attack map — all from Claude, Cursor, or any MCP-compatible client.

Local repository health diagnosis and fix planning for AI-written JavaScript, TypeScript, Python and mixed projects. Its stdio MCP server exposes scans, finding explanations, repair plans, verification, privacy review and DPDP technical readiness checks.

Enables authenticated user profile retrieval via the 'whoami' tool, using OAuth2 and Asgardeo.

Enables an AI chatbot to retrieve only the authenticated customer's profile and orders through two narrowly scoped read-only tools, with authorization enforced in server code.

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 MCP hosts to perform Network Authority operations and offline trust primitives such as signing, agreement and evidence verification, policy decisions, and key history inspection. Exposes the core contract through typed tools and discoverable resources, with profile-gated access for privileged, signing, and node operations.

Exposes local data profiling, PII classification, and plan-based cleansing against DuckDB, Postgres, or SQLMesh tables through four tools (list_tables, profile, propose_cleansing_plan, apply_cleansing_plan). All reasoning stays aggregate-only — format signatures, counts, and match rates rather than raw cell values — and cleaning plans execute only after validation against a fixed operation vocabulary and explicit confirmation.