"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.

MCP server for regulated financial reporting on Workiva, enabling agents to search, read, and write to Workiva workbooks with policy-gated mutations, readback verification, and immutable receipts. Supports both a compact 3-tool facade and a full 117-tool catalog, plus a credential-free mock mode.

Enables a language model to run four deterministic data checks it cannot argue with — column-contract validation with an explicit quarantine list, arithmetic reconciliation of opening/movements/closing, distinct entity counting against row counts, and duplicate detection returned for human review — each answering with structured findings and row/column locators. Failures come back as results with reasons, so the model reports exactly which rows and columns are broken rather than asserting the data is clean.

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.

Provides real-time pollen level alerts and hayfever mitigation tips using the Ambee API.

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

A cooperative guardrail for AI agents that blocks destructive shell commands, SQL statements, or cloud operations until a human approves them out-of-band, with a tamper-evident local ledger.

Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.

Enables AI assistants to scan Terraform and Dockerfiles for security misconfigurations, returning structured Checkov findings that can be explained in plain language.

Enables AI agents to look up and assess credit risk for England & Wales companies, searching by name, retrieving R-Scores with financials, charges, CCJs and directors, fetching verified contacts, and batch-enriching up to 50 companies per call.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

Enables real-time fraud detection and transaction analysis by integrating with Claude through MCP, providing tools to analyze transactions, flag suspicious activity, and manage fraud rules.

ai-runtime-guard is an MCP server that sits between your AI agent and your system, enforcing a policy layer before any file or shell action takes effect. No retraining, no prompt engineering, no changes to your agent or workflow, just install, configure once, and your agent operates within the boundaries you set.

Lets AI agents estimate the cost and result size of BigQuery and Snowflake queries before they run, then execute them only within per-call byte, row, and dollar bounds. Estimates are labeled with an accuracy tier so agents never over-trust an approximate figure.

Enables a coding agent to answer "is this iOS release ready?" by running read-only App Store Connect checks: build processing, App Review state, a 13-point submission preflight, release-notes policy linting, and App Store Server Notification reconciliation. The lone write capability is a dry-run-first, seven-gate submission tool that always requires explicit confirmation.

Provides read/write file tools with lint validation to prevent agents from writing malformed Obsidian markdown, and constrains writes to a single configurable vault for security.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

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.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.