Access the complete Astria operating guide to learn available tools, recommended workflows, and best practices for persistent memory management.
MIT
127,516 tools. Last updated 2026-05-05 20:07
"Searching for an MCP server with persistent memory for tool usage" matching MCP tools:
- Retrieve OpenSIPS shared and private memory usage statistics to monitor server health and diagnose issues.
- Stop anonymous usage telemetry collection in Optimizely DXP MCP Server to prevent analytics and error data gathering. Telemetry is optional and helps improve server functionality.MIT
- Retrieve comprehensive instructions for using the Memory Bank MCP server. Call at the start of every session to understand available tools and the recommended workflow for persistent memory storage.MIT
- Retrieve recent in-memory server log entries filtered by severity to diagnose unexpected tool behavior or connection errors during the current session.MIT
- Retrieve documentation for the Harvest MCP server's time tracking tools, including general server information or specific tool details.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceProvides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.Last updated39Apache 2.0
- FlicenseCqualityCmaintenanceAn AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.Last updated153
Matching MCP Connectors
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Persistent memory and drift detection for AI agents across session restarts.
- Scan an MCP server for security vulnerabilities, description quality, and architecture issues. Get a security rating from F to A+ with actionable recommendations for safe deployment.MIT
- Verify DataBeak server status and resource availability before operations. Returns server health, memory usage, session capacity, and version details to ensure system readiness.Apache 2.0
- Generate a runnable MCP server project with tool definitions, license gating for paid features, and hosting options for local or remote deployment.MIT
- Store structured project knowledge and user preferences in memory documents to enable informed AI responses through proper MCP server configuration.
- Access server package metadata, runtime details, and tool inventory for a Minestom MCP server. Optionally include dependency versions.Apache 2.0
- Analyze MySQL memory usage by calculating per-thread buffers, global server buffers, and maximum potential utilization to identify configuration issues and provide optimization recommendations.Apache 2.0
- Store AI session summaries in persistent memory to retain key decisions, patterns, and solutions learned during coding sessions.MIT
- Add a new tool to an existing MCP server by generating the required module, service stub, test file, and updating server configuration.MIT
- Register a server with SSH credentials to enable persistent access for homelab management tasks, eliminating the need to repeatedly provide credentials.
- Monitor server memory usage, displaying total, used, and free memory in KB, MB, and GB, along with buffer and cache statistics.MIT
- Monitor CPU and memory usage for Kubernetes pods to identify resource-intensive containers and optimize cluster performance.MIT
- Retrieve detailed configurations of saved toolsets, including server settings and tool counts, to manage and optimize tool usage on the hypertool-mcp server.TypeScriptMIT
- Registers this MCP server into an IDE's configuration files for Claude, Cursor, Codex, Gemini, or Windsurf.MIT
- Search persistent memory to find and return relevant facts based on a query. Supports AI agent memory recall.MIT