Place a VMware resource into maintenance to stop monitoring and alerting during planned work. Preview blast radius first, then confirm to apply, optionally with a timed window for automatic recovery.
MIT
650,440 tools. Updated 2026-10-13 08:01
"A resource for understanding Claude's context window and how it works" matching MCP tools:
- Estimate how much context window MCP tool definitions consume, showing token totals, heaviest tools, and actionable recommendations to reduce load when context feels low.Academic Free v1.1
- Reconstruct memory state at a past timestamp to run semantic search queries. Understand how agent context evolved over time.MIT
- Answer questions about Derrick: its features, billing, errors, scaling, and how it works. Get the overview or details on credits, pricing, or errors.MIT
- Retrieve relevant excerpts from freispace documentation to answer questions about how freispace works, including features, settings, and how-tos.MIT
- Get a comprehensive overview of Echo3s: learn what it is, who it targets, and how it enables AI-powered multi-voice audiobook creation.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.1GPL 3.0
- FlicenseAqualityCmaintenanceProvides an external context buffer so a local model can maintain session memory across long tasks and search and page through large documents without loading them whole into its limited context window.151-
Matching MCP Connectors
Verification videos for AI coding agents: upload recordings over MCP and share viewer links. Keep work moving in parallel and review results asynchronously, when you're ready, from your laptop or phone. Add video evidence to pull requests so teammates can see how your changes work during code review.
Original factory window stickers (Monroney labels) by VIN for 20 makes, plus an NHTSA spec decode.
- Learn what OTP (Organization Transport Protocol) is, the problem it solves, and how it works. Start here if new to OTP.MIT
- Retrieve complete Azure Resource Manager definition for any resource, including configuration, SKU, identity, networking, and state. Works for child resources; secrets masked.MIT
- Explain code or concepts by providing a snippet or topic with optional context, and receive clear, actionable explanations for learning, documentation, and deeper understanding using GLM.MIT
- Retrieve lifetime token savings analytics and context window history from all subagent delegations to measure how much context was preserved.MIT
- Retrieve audit trail events for a workspace, newest first, showing who did what to which resource and what changed. Filter by time window, actor, action, or resource.-
- Analyzes Apple API relationships to reveal inheritance, protocol conformances, and recommended alternatives for understanding how APIs work together.MIT
- Inspect a memory node's evidence, validity window, and connected context to audit why it exists or how it changed.Apache 2.0
- Adds explanations for added or removed code blocks, describing what each does and how it works for reviewers.ISC
- Measures token-window context fullness and tracks tokens saved by optimization. Alerts when to save a handoff and clear the session to maintain optimal context usage.MIT
- Check how much of your context window is consumed before a conversation starts, broken down by skills, memory files, and MCP servers.MIT
- Restore a soft-deleted device or resource within the recovery window using its device ID. Requires write permission.MIT
- Retrieve JavaScript source for a widget using its hash to inspect custom rendering logic and understand how it works.MIT
- Retrieve comprehensive details for a specific feedback item, including comments, attachments, session data, and visual context from screenshots to understand user-reported issues.MIT
- Retrieve metadata, structure type, and content preview for a loaded context to assess its size and format before deciding how to process it.MIT
- Explain code snippets by answering specific questions about them, using a local model to avoid token consumption and preserve Claude's context for complex reasoning.MIT