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459,363 tools. Updated 2026-08-17 06:55

"Context Memory Systems and Technologies" matching MCP tools:

  • Identify technologies, frameworks, and CMS used by a target URL. Returns detected technologies, headers, and server information.
    MIT
  • Search Beaker systems by CPU, architecture, memory, pool, and owner. Combine filters with AND logic to find matching systems.
    MIT
  • Retrieve comprehensive context from all memory systems using semantic search to enhance AI assistant capabilities in retaining short-term, long-term, and episodic memory.
    MIT
  • Loads current user context from persona.md, providing role, systems, projects, and preferences for personalized interactions.
  • Update project context including current projects, technologies used, goals, challenges, team size, and methodology for AI memory storage.
  • Create and execute migration plans between different memory systems, validate compatibility, and transfer data from source to target schemas.
    MIT

Matching MCP Servers

  • A
    license
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    quality
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    maintenance
    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0
  • F
    license
    A
    quality
    C
    maintenance
    A local semantic memory and code-indexer that uses AST parsing for structural understanding and persists architectural decisions to help AI assistants bypass context window limits.
    3

Matching MCP Connectors

  • Personal finance, bank account, and shared memory connector for Claude, ChatGPT, Gemini Spark & more

  • Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.

  • List all accessible context spaces, including owned and shared, with each space's memory count.
    MIT
  • Persist complete conversation transcripts as searchable memory, auto-extracting project context, titles, and status while routing updates to a single memory per topic.
    MIT
  • Detect privacy compliance issues in local projects by scanning package.json, config files, and .env files for tracking technologies. Returns a report identifying data collection practices, third-party processors, and cookies without network access.
    MIT
  • Lists accepted filter values for job searches, including cities, disciplines, levels, sources, technologies, and roles, enabling precise query refinement.
    MIT
  • List all accessible context spaces with their memory counts, including those you own and those shared with you.
    MIT
  • Search a knowledge graph for entities like people, organizations, or technologies using semantic similarity. Discover who or what is mentioned in memories and find entities by concept.
    MIT
  • Store information to client-side encrypted memory. Use to persist facts, decisions, or context across sessions by creating or updating memory cells.
    Apache 2.0
  • Store observations as persistent memories with optional tags, importance levels, context, and auto-expiration to manage AI agent memory.
    MIT
  • List all AI systems in your workspace with registration status and evidence coverage to identify unregistered systems and gaps before the EU AI Act deadline.
    MIT
  • Scan live website URLs to detect privacy compliance issues including tracking technologies, cookies, and third-party data collection. Returns detailed compliance reports with risk scores and specific gaps found on deployed sites.
    MIT
  • Pin an observation by ID to raise its priority in memory context, so it appears before recent memories for AI coding agents.
    MIT
  • Store memory observations with optional tags, importance ratings, context, and automatic expiration to manage and organize information effectively.
    MIT