Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
作者提供的说明(英文原文)
Read the MindForge engine over MCP: knowledge graph, project health, and audit log.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
CLAUDE_PROJECT_DIR你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"mindforge": {
"command": "npx",
"args": [
"-y",
"mindforge-mcp-server"
],
"env": {
"CLAUDE_PROJECT_DIR": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add mindforge --env CLAUDE_PROJECT_DIR=your-value -- npx -y mindforge-mcp-server运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"mindforge": {
"command": "npx",
"args": [
"-y",
"mindforge-mcp-server"
],
"env": {
"CLAUDE_PROJECT_DIR": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"mindforge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mindforge-mcp-server"
],
"env": {
"CLAUDE_PROJECT_DIR": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
CLAUDE_PROJECT_DIR env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 sairam0424 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(11.9.8)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Mirobody, FHIR MCP Server, Google Health MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Read the MindForge engine — knowledge graph, project health, and audit log — from Claude Code or any MCP host, over stdio.
A self-contained Model Context Protocol (MCP) server that exposes the MindForge engine to AI agents: query the SQLite-backed knowledge graph, find related memory, check project health, and read the tamper-evident audit log — plus one guarded write to persist new knowledge. Zero runtime dependencies (the server and its deps are bundled into a single file), so it runs on a clean install, offline, and on first session.
claude mcp add mindforge -- npx -y mindforge-mcp-server
Or add it manually to your MCP host config (Claude Desktop, Cursor, VS Code):
{
"mcpServers": { "mindforge": { "command": "npx", "args": ["-y", "mindforge-mcp-server"], "env": { "CLAUDE_PROJECT_DIR": "${workspaceFolder}" } } } }
The server scopes every operation to
CLAUDE_PROJECT_DIR(the project containing.mindforge/and.planning/). If unset, it falls back to the current working directory. Every tool degrades gracefully with an actionable message when MindForge is not initialized in the project — it never throws.
| Tool | Access | Description |
|---|---|---|
mindforge_health | read-only | Run a MindForge health check on the current project (config, state, knowledge graph, audit chain). |
mindforge_status | read-only | Read current project status: whether MindForge is initialized, active phase, and handoff state. |
mindforge_memory_query | read-only | Search the knowledge graph (architectural decisions, patterns, preferences) by topic, tags, and type. |
mindforge_memory_stats | read-only | Report knowledge-graph statistics: total/active entries, types, and tag distribution. |
mindforge_memory_find_related | read-only | Given free text, find related knowledge entries via hybrid (FTS5 + graph-traversal) retrieval. |
mindforge_audit_log | read-only | Read entries from the tamper-evident audit log (.planning/AUDIT.jsonl), optionally filtered by event. |
mindforge_memory_remember | write (guarded) | Persist a new knowledge entry (decision, pattern, or preference) into the graph. |
mindforge_browse | write (guarded, open-world) | Drive the MindForge browser daemon: status/navigate/click/type/screenshot/assert. Requires the daemon to already be running (/mindforge:browse --start); never spawns it, and never exposes JS eval or cookie import. |
All tools are annotated with readOnlyHint / destructiveHint so MCP hosts can enforce the right trust boundary; only mindforge_memory_remember writes, and it is append-only.
CLAUDE_PROJECT_DIR, plus a loopback-only proxy to the MindForge browser daemon (mindforge_browse) — no shell execution. The MCP server process itself only ever talks to 127.0.0.1; the daemon (a separate, pre-existing process this server never spawns) performs the actual browser network egress when a page navigates.dist/index.js; no node_modules are needed at runtime.This server ships standalone (npm + MCP registries) and bundled inside the MindForge Claude Code plugin. For the full framework — slash commands, subagents, governance, and cost-aware model routing — see the main repository.
MIT © MindForge Team