Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Control FreeCAD from Claude — 3D modeling, PartDesign, CAM toolpaths, and more via 30+ tools.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"freecad": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/blwfish/freecad-mcp:latest"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add freecad -- docker run -i --rm ghcr.io/blwfish/freecad-mcp:latestIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"freecad": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/blwfish/freecad-mcp:latest"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"freecad": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/blwfish/freecad-mcp:latest"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto blwfish bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (8.6.0) kam vor 9 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker auf deinem Computer.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
This is a bridge between your AI agent and FreeCAD — a thinking partner for parametric design, CNC toolpath generation, and mesh work. You bring the design intent and the domain judgment; the agent handles the FreeCAD mechanics. Together: moving faster, co-designing things that would take hours to build by hand, untangling the cryptic error messages that FreeCAD is so good at generating, and hunting down the subtle, knotty modeling problems that are nearly impossible to find alone. Built for personal daily use — designing parts, generating toolpaths, printing and cutting them — not a demo. See TOOLS.md for the full tool reference.
These are a couple of examples of how I've used the MCP.
Debugging a broken external reference — a link FreeCAD can't restore, an error message that seems to contradict what you know about your own model, and a one-line fix found by reading the file directly.
Full story →
Designing a shingles generator — several sessions of back-and-forth to design a parametric generator that tiles any roof surface from a spreadsheet of parameters.
Full story →
FreeCAD version support: All tools except CAM are supported on FreeCAD 1.1.x (current stable). CAM toolpath generation requires a current FreeCAD weekly development build (what used to be called "1.2-dev" before upstream moved to calendar-based versioning, e.g.
26.3.x) — the Path workbench API changed incompatibly between 1.1 and the dev series. This project tracks the latest weekly.
Developed on macOS with Claude Code. The code handles macOS, Windows, and Linux — other platforms *should* work but are less tested. PRs for other agents and platforms will be considered. It's also been manually smoke-tested against LM Studio's native MCP client (qwen/qwen2.5-coder-14b, qwen/qwen3-32b, google/gemma-4-e4b) to confirm the protocol round-trips cleanly outside of Claude — see AGENT-INSTALL.md for details and caveats.
Tell your AI agent:
Go to https://github.com/blwfish/freecad-mcp and read the AGENT-INSTALL.md file. Follow the instructions to install and configure the FreeCAD MCP server on this machine.
Your agent will handle the rest — installing prerequisites, cloning the repo, setting up the FreeCAD addon, and registering itself. Once setup is complete, you can ask your agent to design parts.
Once FreeCAD is running with the AICopilot workbench loaded, open the Report View (menu: View → Panels → Report View). You should see something like this:
A few things worth knowing about this output:
The MCP can talk to more than one FreeCAD at a time — useful for comparing a local debug build against a stock release, running a regression in a side window while keeping your main work open, or driving headless workers from the same Claude session.
Each FreeCAD process (GUI or headless) generates a UUID at startup, binds its own socket at /tmp/freecad_mcp_ .sock, and writes a discovery file to ~/.cache/freecad-mcp/instances/ .json. The bridge scans that directory to find live instances regardless of who launched them.
Optional env vars on launch:
FREECAD_MCP_LABEL= — give the instance a human-readable name (defaults to the UUID otherwise)FREECAD_MCP_SOCKET= — override the socket path entirely (escape hatch for CI / tightly-scripted launches)Listing and switching from the agent:
list_freecad_instances # all live instances + active doc info
select_freecad_instance uuid= # by uuid select_freecad_instance label="weekly" # or by label
Spawning from the agent:
spawn_freecad_instance gui=true label="private" \
freecad_binary=/path/to/your/private/build/bin/FreeCAD spawn_freecad_instance gui=true label="weekly" \ freecad_binary=/Applications/FreeCAD.app/Contents/MacOS/FreeCAD
Resolution rules when no instance is explicitly selected: 0 live → error, 1 live → auto-select, 2+ live → error listing them (call select_freecad_instance).
# Unit tests (1430 tests, no FreeCAD required)
python3 -m pytest tests/unit/
python3 -m pytest tests/integration/
python3 -m pytest --cov=AICopilot
For Claude users: the easiest and cheapest approach is to use Claude Code, the web interface, or the CLI tool directly. These platforms automatically handle prompt caching and cost optimization — you don't need to think about it. If you're just using this MCP to design parts in FreeCAD, use Claude Code. Stop reading this section.
If you're building applications or integrations that make direct calls to the Claude API (using the Anthropic SDK), you must understand prompt caching. The Claude desktop app, web interface, and CLI tools automatically handle caching of file context and tool references — you don't see this optimization, but it reduces latency and cost for repeated queries over the same context.
When you make direct API calls, caching must be managed explicitly. The MCP server itself doesn't make API calls, but if you build integrations or extensions that do:
Similarly, if you integrate other MCP servers or agents into your workflow, they may have analogous considerations that are not documented in their README. Check their documentation or source for caching behavior, async job handling, and token limits — don't assume they work like Claude Code.
The test suite covers the handler dispatch layer, base infrastructure, and document operations via unit tests, plus end-to-end coverage of Part, PartDesign, Sketch, Draft, Boolean, Transform, Measurement, and CAM workflows via integration tests against a live FreeCAD instance. CI runs both suites on every push.
The MCP includes operation logging, crash capture, and report view access. FreeCAD's own error reporting is often cryptic — OCCT kernel crashes leave no trace, and the messages that do appear require context to interpret. These tools provide that context.
Most users and developers won't know this infrastructure exists until they need it. See docs/diagnostics.md for a full guide with real examples, and AGENT-DEBUGGING.md for the step-by-step investigation runbook agents should follow when something goes wrong.
See AGENT-INSTALL.md for full technical details, architecture, contributing guidelines, and how to add new tools.
This tool grants your AI agent full access to FreeCAD's Python environment, including the filesystem and OS — this is by design. It also means the agent reads document content (object labels, macro source, spreadsheet values) directly into its reasoning context, so treat FreeCAD files from untrusted sources the same way you'd treat untrusted code. See SECURITY.md for the full security model, practical mitigations, and how to report vulnerabilities.
The MCP also checks GitHub once a day for a newer release — a plain pull against GitHub's public API, cached, and logged locally to ~/.cache/freecad-mcp/version_check.log so it's auditable. See SECURITY.md for details.
If you hit a bug, open an issue — silent failures don't help anyone. Agents won't tell you when something's wrong; they'll just fail the task. See CONTRIBUTING.md for what makes a useful report.
LGPL-2.1-or-later