Apple Foundation Models MCP Server
Expose Apple's on-device 3B parameter LLM to Claude Code and Claude Desktop via MCP. Zero API cost, fully private, runs on Neural Engine.
Requirements
- macOS 26+ (Tahoe or later)
- Apple Silicon (M1/M2/M3/M4)
- Apple Intelligence enabled in System Settings
- Python 3.10+
Install
pip install apple-fm-mcp
Configure
Add to your Claude Code config (~/.claude/mcp.json):
{
"mcpServers": {
"apple-fm": {
"command": "apple-fm-mcp"
}
}
}
Or Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"apple-fm": {
"command": "apple-fm-mcp"
}
}
}
Tools
| Tool | Description | Latency |
|---|---|---|
fm_generate |
Free-form text generation | ~1s |
fm_summarize |
Summarize text into bullet points | ~4s |
fm_classify |
Classify text into categories | ~2s |
fm_extract |
Extract structured data from text | ~3s |
fm_status |
Check model availability | instant |
Why Use This?
- Free: No API keys, no tokens, no cloud costs
- Private: All inference on-device, no data leaves your Mac
- Fast: Neural Engine optimized, ~1s for generation
- Complementary: Use alongside Claude for tasks where on-device speed matters
When to Use Apple FM vs Claude
| Task | Use Apple FM | Use Claude |
|---|---|---|
| Quick classification | Yes | Overkill |
| Text summarization | Yes (short text) | Yes (long documents) |
| Code generation | No | Yes |
| Complex reasoning | No | Yes |
| Data extraction | Yes (simple) | Yes (complex) |
| Privacy-critical | Yes | Depends |
Built by Like One
AI education from a 501(c)(3) nonprofit. 50+ free courses on Claude, MCP, agents, and AI architecture.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for apple-fm-mcp 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| apple_fm_mcp-1.0.1.tar.gz | 4.3 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| apple_fm_mcp-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.1 kB
Release files / apple_fm_mcp-1.0.1.tar.gz
| Download URL | apple_fm_mcp-1.0.1.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fd2c86175a31aeee495c427cb43995cf0f7b361392e736a170322e5e8b16e16c
|
|
BLAKE2b-256 checksum How to use checksums |
e3c2c124996a56d00bd615db6e780cac18fb9d7414e701c8aaf354ee6f2f6640
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 9, 2026.
Transparency logRelease files / apple_fm_mcp-1.0.1-py3-none-any.whl
| Download URL | apple_fm_mcp-1.0.1-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b2a8e53db7b1a1b1cb317f2a76aefb62e549e13f6d889ce2ee324d98b4231338
|
|
BLAKE2b-256 checksum How to use checksums |
002bd0a53eef8072eac9767ba9bc558cac9a3ea7cd1bcbb2eb66a34c5c3303f6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 9, 2026.
Transparency logSecurity for apple-fm-mcp 1.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for apple_fm_mcp-1.0.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 9, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
