"LINE" matching MCP servers:

Enables an assistant to read SMS texts and transcribed calls on a Cleat US mobile line, including waiting for the next verification code to arrive.

Enables coding agents to access approved user stories and acceptance criteria via MCP, with tools to list, retrieve, update, and check story requirements against the working tree.

Enables reviewing GitHub Actions workflows for outdated actions, deprecated Node runtimes, retired runners, deprecated commands, and security risks, with file, line, and fix for each finding.

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging across LangChain, OpenAI, Anthropic, and MCP.

Enables AI agents to safely interact with local files by enforcing policies that allow, block, or require approval for actions, while protecting credentials and maintaining a tamper-proof audit log.

Monitor SSL/TLS certificate expiry across your domains by asking Claude, with no dashboards or command-line tools needed.

Enables Grok Bot Chiefs of Staff on separate user accounts to pair with owner approval, exchange addressed task proposals and availability windows, manage asymmetric capability grants, and revoke access through a hosted mailbox service. It runs as a standard MCP stdio client that authenticates with an owner's agent credential and supports contacts listing, message submission, cursor-based inbox polling, and idempotent retries.

Skylos MCP server exposes static analysis as tools for AI coding agents — scan any Python, TypeScript, or Go codebase for dead code, security vulnerabilities, and quality issues directly from Claude, Cursor, or any MCP-compatible client. Returns findings with file paths, line numbers, and severity so agents can auto-fix issues in context.

Deterministic supply-chain provenance, SBOM/AI-BOM generation, and dependency risk analysis for npm and PyPI packages, with 14 security rules and verifiable reports.

Validates AGENTS.md files against the cross-vendor coding-agent spec, detecting security smells and consistency issues.

Provides a secure enterprise gateway bridging Rovo, Jira, Confluence, and external IDEs to SEOSiri's MCP suite with data masking, governance, and JSON-RPC standardization.

Provides phone intelligence for AI voice agents, enabling inbound caller identification, outbound risk assessment, line type detection, and do-not-contact checks via four read-only MCP tools.

A secure MCP server for local API credential management using JSON storage and a read-only default mode. It allows users to list, retrieve, and manage credentials via simple command-line tools and environment-based configuration.

A local MCP server that wraps common forensic command-line tools for CTF/forensics competitions into MCP tools, enabling automated analysis of disk images, memory dumps, network captures, SQLite databases, archives, and steganography.

Enables deterministic auditing of agent skills, system prompts, and downloaded file collections against eight malicious-skill supply-chain patterns, returning line-numbered findings and pass/flag verdicts without using an LLM or network calls.

Enables checking suspicious URLs for risk without opening them, providing full checkups and lookalike detection.

MCP server that provides secure PostgreSQL access with LIME agent identity verification, whitelist-based authorization, and audit events.

Enables an agent to scan text for leaked credentials locally before it writes or commits it, flagging known key, token, private-key and sensitive-filename patterns with redacted, line-level findings and no network calls. Detection is deliberately specific to avoid false positives that would block unattended agents.

Pay-per-call API that verifies whether a domain belongs to a real business. Returns a verdict (real/likely_real/uncertain/likely_fake/fake), a 0-100 score, and signals (WHOIS via RDAP, SSL via Certificate Transparency, homepage LLM judgment, contacts, social) — for KYB, vendor screening, fraud checks, and lead qualification.

Checks URLs for phishing risks using URL, DNS, HTTP, HTML, and mobile rendering signals, and provides a 1024x1024 PNG visual summary of the page.