"Information about guardrails" matching MCP servers:

A prompt-injection-aware MCP server demonstrating guardrails for agentic tool use, including permission tiers, untrusted-content quarantine, and heuristic injection detection, with a fictional ticket-triage assistant.

Aegis keeps Claude Code, Codex CLI and Antigravity on your project's rules via a zero-dependency Model Context Protocol (MCP) server (aegis-mcp), AGENTS.md / CLAUDE.md bootstrap, git pre-commit hooks, and CI governance (aegis check). It serves each agent just-in-time rules for the files it is about to edit, then enforces AST and repository invariants before commit and in pull requests.

Enables users to run and inspect local prompt-regression evaluations over six labeled fictional outreach cases, comparing a baseline and candidate prompt and reviewing per-case checks, failures, token usage, and stored run records. Exposes four local stdio tools (list_cases, run_demo, list_runs, get_run) for reviewing evidence before a human release decision, without granting paid live runs, file access, shell commands, or release approval.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Exposes canonical knowledge about DeepSeek FR (models, pricing, FAQ, official links) to MCP-compatible AI clients, enabling querying of site information without API keys.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

MCP server for AI agent guardrails — validates and signs agent decisions (OAA tokens) so third parties can verify them without server access

Enables AI coding assistants to look up 43 structured uni-app / WeChat mini-program constraint rules by category and severity before writing code, then statically scan a project to catch inline rpx styles, WXSS wildcards, defineProps generics, missing subpackage flags, animation fill-mode bugs, and leaked secrets, internal IPs, AppIDs or server paths before release. Also provides pre-submission release checklists for app store review.

Provides curated, meaningful information about Voi ecosystem protocols, applications, assets, and names, enabling identification and search through natural language.

An MCP server providing comprehensive HubSpot CMS development documentation, enabling users to get contextual information about building HubSpot websites through natural language.

Get information about the current operating environment

Enables Claude to read and organize Trello boards by name, with archive-only writes and no guessing on ambiguous names.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

A server that connects Claude with Spotify, allowing users to control playback, search content, get information about tracks/albums/artists/playlists, and manage the Spotify queue.

A Model Context Protocol (MCP) server that provides information about installed applications on your computer, support MacOS and Windows.

Allows to retrieve information about an AnnData object via MCP using the read_lazy function from anndata.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

Connects Reaper projects to an MCP client like Claude Desktop, allowing users to ask questions and retrieve parsed information about the projects using natural language.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

An MCP server that enables interaction with the Daft.ie API for searching rental properties and retrieving detailed information about specific rental listings.

An MCP server that exposes the Trading 212 API with a hard-enforced safety layer—including idempotency ledger, circuit breaker, and position limits—to enable safe live and paper trading through natural language.

An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.

Enables agents to manage time-decaying claims about entities, detect stale and contradictory information, and confirm or retract assertions via MCP tools and CLI.

Enables querying context about the MAM product components and architecture through MCP, allowing agents to retrieve targeted product information on demand instead of loading full documentation.

Enables AI-powered natural language queries about BIT Information Portal (BIP) data by integrating with BIP APIs through session management. Uses Google Gemini to intelligently route questions to appropriate endpoints and generate contextual answers about students, departments, courses, faculty, and achievements.

Enables autonomous AI agents and MCP clients to validate observation records so unverified states can pass while self-declared VERIFIED claims are blocked unless an independent external verifier is present.

Enables Claude to remember information about users across conversations by storing and retrieving data as entities, relations, and observations in a persistent local knowledge graph.

Enables wrapping any Model Context Protocol server command so every tools/call is evaluated against compiled typed policy rails, with redaction, approval, throttling, denial, and a tamper-evident evidence trail.

Enables comprehensive system monitoring and diagnostics through 18 tools that provide detailed information about CPU, memory, disk usage, network interfaces, running processes, battery status, hardware details, and temperature monitoring. Allows users to query system information and performance metrics through natural language interactions.