"Information about guardrails" matching MCP servers:

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

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

Read-only MCP bridge connecting Claude Desktop to Merlin Project on Mac, allowing natural-language queries about plans, activities, resources, and project data.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Production-ready MCP server for enforcing git/PR/Jira workflows with atomic, composable tools. Enables automated branch creation, conventional commits, PR generation, and Jira ticket operations with safety guardrails.

A zero-dependency MCP server that answers common questions about Jira work, such as what is assigned to me, standup status, sprint health, and more, without returning raw issue JSON.

Exposes the full Asana REST API via an MCP server, enabling operations like task management and workspace queries, with configurable safety guardrails.

A comprehensive MCP server that provides AI assistants with full access to FactorialHR to manage employees, teams, time off, projects, training, recruiting, and more, all with built-in safety guardrails.

Connects Canvas LMS to Claude Desktop, enabling natural-language queries about courses, assignments, grades, and more.

Enables AI agents to access Planning Center Online data including worship plans, song library, teams, and volunteer information through natural language queries and direct tools.

MCP server that provides project guardrails including prior art research, project status checks, next task retrieval, and quality gate enforcement for AI-assisted development.

A local-only MCP server providing safe, typed Jira tools for AI agents via Atlassian ACLI, enabling search, get issue, add comment, and transition issues with policy guardrails.

MCP server to provide Jira Tickets information to AI coding agents like Cursor

Captures comprehensive context about development issues and facilitates human assistance through structured API-based help requests.

Enables AI tools to safely query and manage qTest test management data through an MCP server with a token portal and guardrails against destructive operations.

Enables LLMs to interact with the Pipefy GraphQL API to manage pipes, cards, database tables, and records through natural language. It provides tools for searching, creating, and retrieving detailed information about Pipefy workflows and database entities.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.