"Automating guard duty alert validation and reporting process" matching MCP servers:

Security analysis for Python codebases through the guard-core engine: SecurityConfig validation that catches keys pydantic silently drops, docs search over the vendored corpus, live detection probing, and verified setup guidance for Python, Typescript, Rust, PHP and Go adapters.

Check a backtest before trusting it: deflated Sharpe, CSCV overfitting, minimum track record length, breadth ceiling and paper-evidence checks. Deflated Sharpe and track record are tested in CI against the papers' worked examples, CSCV against CRAN pbo. Runs hosted with no signup, or fully on your machine in private local mode. Also reads SEC-reported company financials by ticker.

MCP server for managing interactive processes, enabling AI agents to start, interact with, and terminate long-running programs like SSH sessions, REPLs, and installers via read/write operations.

Multi-regime AI incident classification and reporting MCP supporting EU AI Act Article 73, DORA, NIS2, and GDPR breach reporting.

An MCP server that allows users to list and kill operating system processes through natural language queries, making process management more intuitive across Windows, macOS, and Linux.

Enables users to look up public company earnings dates and reporting windows by providing identifiers like ticker, domain, or CIK. It returns fiscal year end, next reporting date, and an outreach window, helping plan investor communications.

Human-in-the-loop guard proxy for the McDonald's China MCP server. Read-only tools pass through; write tools (orders, coupons, points) require local confirmation outside the AI's reach. Spending limits, read-only mode, tool blocklist, audit log; the token stays on your machine. Pure Python, zero dependencies.

Order limits, human approval (terminal or Telegram), a kill switch and a hash-chained audit log in front of any broker or exchange MCP server. Verified profiles for Alpaca MCP and CCXT MCP.

Enables AI agents to safely inspect and pay EIP-681 and Solana Pay links by validating intent and recipient against spending caps and on-chain risk checks, then returning unsigned payment proposals for PayBox to simulate and the user to approve. It also lets merchants generate payment links and verify on-chain that invoices were paid in full.

MCP server that enforces deterministic policies for coding agents, inspecting file writes and shell commands to allow, deny, or require confirmation based on configurable rules.

Real-time fraud detection and AML compliance with 13 tools. PEP screening, sanctions checks, transaction monitoring, risk scoring for fintechs.

Enables read-only PostgreSQL interaction through safe query execution, query planning, table and column inspection, and privilege checks, with multi-layer defenses against write operations and transaction-control exploits.

Scans GitHub Actions workflow files for dangerous triggers, template injection, unpinned actions, excessive permissions, and secrets in shell commands before they are committed, exposing the checks as MCP tools for agents.

Read-only XRPL token and wallet checks with issuer-aware explanations, impersonation checks and spoken summaries. Built for Zach Riehn's XRP Ledger Trading Lab by AI coding agents under Zach's direction. Never signs or sends transactions; findings describe observed ledger evidence, not a guarantee of safety or investment advice. Try it: https://cocoeatsai.com/trading-lab/token-guard/

Security for the MCP servers you use: detects tool poisoning, rug pulls, shadowing, secrets and supply-chain risk (OWASP MCP Top 10), with runtime guards and approved-server policy. Runs locally.

Enables safe, read-only interaction with Redis databases via cursor-based tools for retrieving keys, hashes, lists, sets, and sorted sets, backed by ACL DRYRUN-verified privilege checks.

Enables AI agents to safely work with SQLite databases by enforcing read/write separation, dry-run writes with confirmation, automatic backups, and an audit trail.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Enables MCP clients to run local, read-only audits that detect risky GitHub workflows, undocumented environment variables, possible credentials, and conflicting dependency configuration before merging.

Enables MCP clients to run deterministic, read-only local repository audits for risky GitHub workflows, undocumented environment variables, possible credentials, and conflicting dependency configuration, returning structured findings without sending source code to a service.