"Information about guardrails" matching MCP servers:

An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.

Enables agents to autonomously resolve GitHub issues by editing code, running tests, and opening pull requests, while enforcing guardrails that protect critical files and systems.

Connects AI agents to MAVLink drones (PX4, ArduPilot) via a capability layer with safety guardrails, enabling telemetry, flight control, and mission management through natural language.

Adds guardrails around delegating tasks to OpenAI Codex, including quota preflight and handoffs, git worktree isolation, per-turn checkpoints and restore, read-only cross-reviews, and honest failure reporting.

High-frequency (~60Hz) in-browser behavior tree execution engine for autonomous AI agents. Reactive priority interrupts, safety guardrails & deterministic action replay over MCP.

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.

An MCP server for the un.manned wiki that lets AI agents read and write wiki content securely without exposing API keys, with built-in guardrails for quotas, duplicates, and untrusted content.

Compliance and guardrails infrastructure for AI agents, enabling safe operations within regulatory boundaries like GDPR and EU AI Act.

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

Guardrails for AI coding agents that enforces rules via compliance receipts, blocking destructive actions and syncing rules across all AI tools.

Enables an AI agent to autonomously find, claim, and complete work on Planka boards, with enforced role-based guardrails and safe workflow management.

AI payment guardrails for Python & MCP: spend-capped agent identity (KYA), dry-run/budget/approval gates, prompt-injection defense, encrypted secret vault.

A safety-gated MCP server for Zoho Books that enables AI agents to perform general-ledger writes, bank-feed categorization, and receipt attachments not exposed by Zoho's native connector, with hard guardrails preventing unauthorized actions on live data.

Enables agentic coding clients to enforce portable policy guardrails by evaluating proposed shell, file write, git, and network actions and returning allow, deny, or ask decisions.

Enables coding agents to compact conversation contexts verbatim, make fast decisions through choice, boolean, and rubric scoring, and enforce command safety guardrails.

A secure Model Context Protocol server for interacting with Plurk, allowing agents to read account context, post updates, and manage replies. It includes built-in safety guardrails such as daily post limits and reply cooldowns to ensure controlled execution.

Enables AI agents and MCP clients to govern code changes through transactional begin/step/audit/finish workflows, enforce scope and anti-laziness guardrails, and obtain commit clearance tokens before Git commits.

MCP server enabling AI agents to control a real Linux browser with live view, human takeover, and safety guardrails.

Zero-trust safety & settlement rail for autonomous AI agents. Sub-10ms deterministic guardrails, secret leak defense, bounded wallet controls, and on-chain Proof-of-Safety attestations via x402.

Enables AI assistants to trade on Kalshi through natural language, including placing orders, market data access, portfolio management, and paper trading with safety guardrails.

A self-hosted registry and MCP server for reusable AI-agent skills that enables agents to discover, retrieve, and install skills with guardrails.

Production-grade MCP server providing deterministic evaluation, AST sandboxed execution, DNS routing audit, and runtime guardrails for autonomous LLM agents.

Enables AI agents to safely work on GitHub PR reviews behind a safety boundary, creating draft reviews and optionally submitting them with fixed guardrails, without exposing write tokens.

CommerceOps MCP Server is an AI-native Model Context Protocol server for e-commerce operations, enabling AI agents to autonomously diagnose and resolve operational exceptions such as stuck orders, missed payment webhooks, warehouse delays, and oversold inventory, with built-in safety guardrails and audit logging.

Enables Claude Code agents on the same project to message each other directly, with server-side guardrails, human oversight and control via Telegram, approval workflows for outside changes, and one-tap sharing of agent setup.

Enables autonomous AI agents and CI/CD runners to discover repository modules, scan outdated dependencies, fetch version histories, and apply verified dependency updates with major-version safety guardrails across polyglot monorepos.

Enables real-time spatial intelligence, trajectory generation, and tactile control for autonomous robotic systems through an MCP interface. It normalizes telemetry, performs robotics dynamics and kinematics, and applies boundary and collision safety guardrails.

Enables autonomous AI agents to discover products, compute tax-accurate quotes, and complete payments through Razorpay with deterministic budget, quantity, and idempotency guardrails.

Exposes identity, tools, workflows, guardrails, and evaluation as MCP tools — so any AI agent can read and write your ecosystem programmatically.

Enables AI agents to autonomously analyze market data, compute risk metrics, and execute spot or futures trades on Binance with safety guardrails like dry-run mode and slippage protection.