Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Description from the maker (original English)
Read the MindForge engine over MCP: knowledge graph, project health, and audit log.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
CLAUDE_PROJECT_DIRYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"mindforge": {
"command": "npx",
"args": [
"-y",
"mindforge-mcp-server"
],
"env": {
"CLAUDE_PROJECT_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add mindforge --env CLAUDE_PROJECT_DIR=your-value -- npx -y mindforge-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"mindforge": {
"command": "npx",
"args": [
"-y",
"mindforge-mcp-server"
],
"env": {
"CLAUDE_PROJECT_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"mindforge": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mindforge-mcp-server"
],
"env": {
"CLAUDE_PROJECT_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
CLAUDE_PROJECT_DIR envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account sairam0424, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (11.9.8) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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