DevelopmentOfficial Verified

Time

BYmodelcontextprotocol★ 76,481GRADE B

Time and timezone conversion capabilities

⚡Config Installation

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "time": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-time"
      ]
    }
  }
}

* Note: Requires restart of Claude Desktop app.

View Source Code→

Deployment Infrastructure

Adoption Framework for Time

Before installing any skill, define a clear objective and measurable outcome. A useful implementation question is: what workflow becomes faster, safer, or more reliable after this skill is active? If that answer is vague, delay rollout and tighten scope first.

For most teams, a low-risk pattern is preview-first rollout with one owner, one test scenario, and one rollback plan. Capture failures in a structured log so quality decisions are evidence-based. This is especially important for skills that touch file systems, external APIs, or automation chains with downstream side effects.

Define success metrics before installation.
Validate permission scope against policy boundaries.
Run one controlled pilot and document failure categories.
Promote only after acceptance checks pass consistently.

Pre-Deployment Review Questions

Use these questions before enabling the skill in shared environments. They reduce surprise incidents and make approval decisions consistent across teams.

What data can this skill read, write, or transmit by default?
Which failures are recoverable automatically and which require manual stop?
Do we have verifiable logs that prove safe behavior under load?
Is rollback tested, documented, and assigned to a clear owner?

If any answer is unclear, keep rollout in preview and close the gap before production use.

Editorial Review Snapshot

This listing includes an editorial QA layer in addition to automated rendering. Review status is based on documentation depth, content uniqueness, and operational safety signals from the upstream repository.

Last scan date: 2026-03-14
README depth: 881 words
Content diversity score: 0.56 (higher is better)
Template signal count: 0
Index status: Index eligible

Recommendation: Pilot in a bounded environment first. Confirm observability and ownership before promoting to shared workflows.

Skill Implementation Board

Actionable utility module for rollout decisions. Use the inputs below to choose a deployment path, then execute the checklist and record an output note.

Input: Security Grade

Input: Findings

Input: README Depth

881 words

Input: Index State

Eligible

Decision Trigger	Action	Expected Output
Input: risk band moderate, docs partial, findings 0	Run a preview pilot with fixed ownership and observability checkpoints.	Pilot can start with rollback checklist attached.
Input: page is index-eligible	Proceed with external documentation and team onboarding draft.	Reusable rollout runbook ready for team adoption.
Input: context tags/scenarios are missing	Define two concrete scenarios before broad rollout.	Clear scope definition before further deployment.

Execution Steps

Capture objective, owner, and rollback contact.
Run one preview pilot with fixed test scenario.
Record warning behavior and recovery evidence.
Promote only if pilot output matches expected threshold.

Output Template

skill=time
mode=B
pilot_result=pass|fail
warning_count=0
next_step=rollout|patch|hold

🛡️ Security Analysis

SCANNED: 2026-03-14

SCORE: 80/100

✅

Clean Scan Report

Our static analysis engine detected no common vulnerabilities (RCE, API Leaks, Unbounded FS).

DocumentationREADME.md

Note: The content below is automatically rendered from the repository's README file.

Model Context Protocol servers

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources.

[!IMPORTANT] If you are looking for a list of MCP servers, you can browse published servers on the MCP Registry. The repository served by this README is dedicated to housing just the small number of reference servers maintained by the MCP steering group.

The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources. Typically, each MCP server is implemented with an MCP SDK:

🌟 Reference Servers

These servers aim to demonstrate MCP features and the official SDKs.

Everything - Reference / test server with prompts, resources, and tools.
Fetch - Web content fetching and conversion for efficient LLM usage.
Filesystem - Secure file operations with configurable access controls.
Git - Tools to read, search, and manipulate Git repositories.
Memory - Knowledge graph-based persistent memory system.
Sequential Thinking - Dynamic and reflective problem-solving through thought sequences.
Time - Time and timezone conversion capabilities.

Archived

The following reference servers are now archived and can be found at servers-archived.

AWS KB Retrieval - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
Brave Search - Web and local search using Brave's Search API. Has been replaced by the official server.
EverArt - AI image generation using various models.
GitHub - Repository management, file operations, and GitHub API integration.
GitLab - GitLab API, enabling project management.
Google Drive - File access and search capabilities for Google Drive.
Google Maps - Location services, directions, and place details.
PostgreSQL - Read-only database access with schema inspection.
Puppeteer - Browser automation and web scraping.
Redis - Interact with Redis key-value stores.
Sentry - Retrieving and analyzing issues from Sentry.io.
Slack - Channel management and messaging capabilities. Now maintained by Zencoder
SQLite - Database interaction and business intelligence capabilities.

🤝 Third-Party Servers

[!NOTE] The server lists in this README are no longer maintained and will eventually be removed.

🎖️ Official Integrations

Official integrations are maintained by companies building production ready MCP servers for their platforms.

21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers.
2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention.
ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API.
Adfin - The only platform you need to get paid - all payments in one place, invoicing and accounting reconciliations with Adfin.
AgentOps - Provide observability and tracing for debugging AI agents with AgentOps API.
AgentQL - Enable AI agents to get structured data from unstructured web with AgentQL.
AgentRPC - Connect to any function, any language, across network boundaries using AgentRPC.
Agentset - RAG for your knowledge base connected to Agentset.
Airwallex Developer - Empowers AI coding agents with the tools they need to assist developers integrating with Airwallex APIs
Aiven - Navigate your Aiven projects and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services
Alation - Unlock the power of the enterprise Data Catalog by harnessing tools provided by the Alation MCP server.
Alby Bitcoin Payments - Connect any bitcoin lightning wallet to your agent to send and receive instant payments globally with your agent.
Algolia - Use AI agents to provision, configure, and query your Algolia search indices.
Alibaba Cloud AnalyticDB for MySQL - Connect to an AnalyticDB for MySQL cluster for getting database or table metadata, querying and analyzing data. It will be supported to add the OpenAPI for cluster operation in the future.
Alibaba Cloud AnalyticDB for PostgreSQL - An MCP server to connect to AnalyticDB for PostgreSQL instances, query and analyze data.
Alibaba Cloud DataWorks - A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Alibaba Cloud Open API and enables AI agents to perform cloud resources operations seamlessly.
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