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606,818 tools. Updated 2026-09-24 11:36

"A search for information about memory" matching MCP tools:

  • Retrieve detailed information about a specific job posting using its search ID. Access job description, requirements, and metadata.
    MIT
  • Search official Zig programming language documentation to find information about language features, standard library functions, memory management, error handling, and build system details.
    MIT
  • Search saved knowledge to find specific information about files, fields, or concepts using a case-insensitive query.
    Apache 2.0
  • Get system information about the server machine: OS, hostname, home directory, Node version, CPU count, and total memory.
    MIT
  • Display memory index information including corpus size, search pipeline status, usage metrics, and embedding worker state.
    MIT

Matching MCP Servers

  • F
    license
    A
    quality
    C
    maintenance
    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
    6
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  • A
    license
    Not graded
    quality
    A
    maintenance
    Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.
    MIT

Matching MCP Connectors

  • memoryOAuth

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

  • Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.

  • Retrieve detailed information about all Proxmox cluster nodes including CPU, memory resources, running VM counts, and uptime status.
    MIT
  • Retrieve detailed information about any process by PID, including executable path, command line, user, memory usage, and open file count.
    MIT
  • Store project information in markdown format for future reference. Create meaningful memory files to retain useful data across tasks.
    MIT
    Destructive
  • Store project information in memory for future reference, enabling efficient codebase navigation and task continuity within the Serena toolkit.
    MIT
    Destructive
  • Retrieve information about a specific site property in Google Search Console. Provide the site URL or domain to get details on that property.
    MIT
  • Open and display information from memory files to access stored data for AI agent operations.
    MIT
  • Search through agent memory to retrieve relevant information using semantic similarity matching. Specify queries to find stored data with configurable relevance thresholds and result limits.
    MIT