chat-recall

One searchable history across every AI coding tool, with secret scanning and a shared task board.

What does this entry provide?

chat-recall 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 chat-recall 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: streamable-http
Repo: munhq/chat-recall
Repo updated: Oct 6, 2026

Install command

mcp add io.github.munhq/chat-recall https://chatrecall.dev/mcp

Install method: streamable-http

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Oct 6, 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.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-06T18:32:22.814951Z",
      "publishedAt": "2026-10-06T18:32:22.814951Z",
      "statusChangedAt": "2026-10-06T18:32:22.814951Z"
    }
  },
  "server": {
    "name": "io.github.munhq/chat-recall",
    "title": "chat-recall",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://chatrecall.dev/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "0.7.19",
    "packages": [
      {
        "version": "0.7.19",
        "transport": {
          "type": "stdio"
        },
        "identifier": "chat-recall",
        "runtimeHint": "npx",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "CHAT_RECALL_SERVER",
            "format": "string",
            "description": "Server to sync to. Defaults to the hosted service at https://chatrecall.dev; set it to your own instance to self-host. Self-hosting is free for one person."
          },
          {
            "name": "CHAT_RECALL_MCP_PROFILE",
            "format": "string",
            "choices": [
              "lean",
              "full"
            ],
            "default": "lean",
            "description": "Which tools to register: \"lean\" (default, 28 tools — tool choice degrades as the list grows) or \"full\" (all 63 tools, plus recall_help — a directory of the rest; 4 code-intelligence tools register only with the codeindex companion on PATH). Every tool works when called by name either way."
          },
          {
            "name": "CHAT_RECALL_NO_DAEMON",
            "format": "string",
            "description": "Set to 1 to load the whole server inside each session. By default every session with the same profile and server shares one background daemon, and each session is a thin relay onto it — the engine is loaded once per machine instead of once per session. Turn it off for a sandbox with no writable runtime directory."
          },
          {
            "name": "CHAT_RECALL_DAEMON_IDLE_SECS",
            "format": "string",
            "description": "Seconds with no session attached before the shared daemon exits and returns its memory. Default 900. Set 0 to keep it resident."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/munhq/chat-recall",
      "source": "github"
    },
    "websiteUrl": "https://chatrecall.dev",
    "description": "One searchable history across every AI coding tool, with secret scanning and a shared task board."
  }
}

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