Search Memory

Free web search and long-term memory for AI assistants. No API keys; data stays local.

What does this entry provide?

Search Memory is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Search Memory to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 78/100
Install method: npm
Repo: kefyusuf/search-memory-mcp
Repo updated: Oct 25, 2026

Install command

npx -y search-memory-mcp@1.1.0

Install method: npm

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Oct 25, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-25T08:56:40.341271Z",
      "publishedAt": "2026-10-25T08:56:40.341271Z",
      "statusChangedAt": "2026-10-25T08:56:40.341271Z"
    }
  },
  "server": {
    "name": "io.github.kefyusuf/search-memory-mcp",
    "title": "Search Memory",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.1.0",
    "packages": [
      {
        "version": "1.1.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "search-memory-mcp",
        "registryType": "npm",
        "registryBaseUrl": "https://registry.npmjs.org",
        "environmentVariables": [
          {
            "name": "SEARCH_PROVIDERS",
            "description": "Comma-separated search provider order, for example duckduckgo,marginalia,bing"
          },
          {
            "name": "CACHE_DB_PATH",
            "description": "Path of the local SQLite database for cache, memory, and index"
          },
          {
            "name": "INGEST_ALLOWED_DIRS",
            "description": "Comma-separated directories whose files ingest_document may read; local file reading is off when unset"
          },
          {
            "name": "SEARXNG_BASE_URL",
            "description": "Base URL of a SearXNG instance with JSON output, used by the searxng provider"
          },
          {
            "name": "BRAVE_SEARCH_API_KEY",
            "isSecret": true,
            "description": "Optional Brave Search API key; the brave provider then uses the official API instead of scraping"
          },
          {
            "name": "TAVILY_API_KEY",
            "isSecret": true,
            "description": "Optional Tavily API key; adds the tavily provider with news-topic search and publish dates"
          },
          {
            "name": "EXA_API_KEY",
            "isSecret": true,
            "description": "Optional Exa API key; adds the exa provider with neural (semantic) web search"
          },
          {
            "name": "READER_FALLBACK_URL",
            "description": "Optional reader service (for example https://markdown.new/) used when a page cannot be fetched directly; sends the page URL to that service"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/kefyusuf/search-memory-mcp",
      "source": "github"
    },
    "description": "Free web search and long-term memory for AI assistants. No API keys; data stays local."
  }
}

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