
MCP for OpenFilters
io.github.BBrunoEstevesPublished by GitHub account BBrunoEstevesv0.2.2Updated Nov 7, 2026
Design, simulate and optimize optical thin-film coatings with the OpenFilters engine.
Overview
Local MCP server wrapping the OpenFilters engine so an assistant can design, simulate and optimize optical thin-film coatings.
- What you can do
- List, inspect and add materials, including importing refractiveindex.info entries
- Compute spectra, angle scans, color, electric field and monitoring curves for a design
- Evaluate targets and merit, layer sensitivity, thermal sensitivity and sweeps
- Optimize designs with refinement, needle and step methods
- Run batch sweeps, optimization campaigns, Monte Carlo tolerance and random-error analyses
- Track jobs and load or save native .ofp project files
- When to use it
- Useful when you work on optical thin-film design — antireflection coatings, mirrors, edge filters, dichroics or band-pass filters — and want an assistant to set up simulations, run optimizations and rank results by manufacturing yield.
- Requirements
- Runs locally as a stdio process; Python 3.10 or newer, or uv/uvx, or the packaged installer. OpenFilters itself is not needed. Optional environment variables MCP_FOR_OPENFILTERS_HOME and MCP_FOR_OPENFILTERS_WORKERS set the data folder and worker count. Network access only for downloading public refractiveindex.info data on request.
Installation
In SourceWeft
- Open MCP for OpenFilters in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
MCP for OpenFilters
An unofficial connector built on OpenFilters: not affiliated with or endorsed by the OpenFilters authors or Polytechnique Montréal.
Design, simulate and optimize optical thin-film coatings by talking to Claude.
This project is an MCP server around the calculation core of
OpenFilters (Stéphane Larouche and Ludvik Martinu,
Polytechnique Montréal), ported to Python 3 and run without its GUI. Claude plans the work and reads
compact summaries; the server does the computing — in parallel on all CPU cores — and writes full
results to disk, including .ofp project files that open in the OpenFilters GUI.
Claude orchestrates; the server computes. One tool call can launch a whole campaign.
Quick start
Pick the one that matches how you use Claude (details under Installation):
Then, in a new chat: "Run the MCP for OpenFilters server_info tool", and try "Design an antireflection coating
for BK7 from 430 to 670 nm with TiO2 and SiO2." It is also listed in the
official MCP Registry as io.github.BBrunoEsteves/mcp-for-openfilters.
Built and tested with Claude. The server follows the open MCP standard, but it has so far been developed and tested only with Claude (Claude Desktop and Claude Code). Other MCP clients may work, but they are untested: tool descriptions, plots and long-running jobs may behave differently there.
What it can do
Example requests to Claude:
- "Design a dichroic on BK7 with R > 99 % at 532 and 1064 nm and T > 90 % at 633 nm for 0–20°, at most 40 layers of TiO2/SiO2. Run 100 needle optimizations from random starts and rank the best 10 by yield at ±1 % thickness error."
- "Add my ALD Al2O3 from this ellipsometry file and sweep the AR coating thickness ±10 %."
- "Find thin-film HfO2 data on refractiveindex.info, import it and redo the mirror with it."
- "Where is the electric-field peak of this mirror at 1064 nm, and what monitoring signal should I expect at 633 nm at the end of each layer?"
Ready-made workflows (prompts) appear as / commands in Claude Code and in the attachment menu of Claude
Desktop: design an antireflection coating, a mirror, an edge filter or dichroic, a narrow band-pass
filter, and review a design for manufacturing. The design-format guide, the material list and the
OpenFilters example projects are available as resources (openfilters://guide, openfilters://materials,
openfilters://examples/<name>). Long optimizations and yield analyses report progress to apps that show it.
Installation
Requires Python ≥ 3.10. OpenFilters itself does not need to be installed: its calculation engine is
built in (the OpenFilters GUI is only useful to open the .ofp files).
Claude Desktop extension (one click)
From the latest release, download
mcp-for-openfilters-<version>.mcpb and open it (or drag it onto Claude Desktop's Settings → Extensions). Claude
Desktop runs it with uv, which fetches the server from PyPI.
Claude Code plugin
In Claude Code:
The plugin runs the server with uvx (see claude-plugin/README.md for what it runs and
downloads).
With uv (one command)
With uv installed, the server runs straight from PyPI, with the right package for your computer chosen automatically:
For Claude Desktop, add to claude_desktop_config.json (Settings → Developer → Edit config), then fully quit and
reopen Claude Desktop:
uvx keeps its own cached environment; uvx mcp-for-openfilters@latest picks up a new version.
With the installer
From the release page, download
install_mcp_for_openfilters.py and the package for your computer (or all .whl files) into one folder, then:
It creates a private environment in ~/.mcp-for-openfilters, installs the package, registers the server in
Claude Desktop (backing up its settings) and Claude Code, and runs a self-test. Then fully quit and reopen
Claude Desktop. --uninstall removes it; --from-github downloads the packages with the GitHub CLI.
Packages are built for Windows (64-bit), Linux (x86-64) and macOS (Apple Silicon), Python 3.10–3.14, with the compiled fast core included: no compiler needed.
Manually
For Claude Desktop, add to claude_desktop_config.json (Settings → Developer → Edit config):
Upgrading from openfilters-mcp (before 0.2.0)
The project was called openfilters-mcp until version 0.2.0. Fully quit Claude Desktop and Claude Code,
then run the new installer: it removes the old openfilters registration and the old private environment
(~/.openfilters-mcp) and registers mcp-for-openfilters. Your data folder ~/OpenFilters-MCP is kept
and still used, and the old OPENFILTERS_MCP_* environment variables are still read. After a manual
install, pip uninstall openfilters-mcp and replace the openfilters entry in your Claude settings.
From source (development)
Configuration
The names used before 0.2.0 (OPENFILTERS_MCP_HOME, OPENFILTERS_MCP_WORKERS) still work, and an existing
~/OpenFilters-MCP folder is used when ~/MCP-for-OpenFilters does not exist.
Conventions
- wavelengths and thicknesses in nm, angles in degrees, R/T/A as fractions (0–1);
- complex index N = n − ik (k ≥ 0 absorbs), as in OpenFilters and Macleod;
- layers are listed from the substrate outward;
- the merit function is OpenFilters' χ² = Σ ((target − value)/tolerance)², with satisfied inequality targets contributing zero.
A design:
or with a stack formula: {"formula": {"formula": "(HL)^8 H", "materials": {"H": "TiO2", "L": "SiO2"}}}.
Materials given as n,k tables have no data outside their wavelength range. There the design field
"table_extrapolation" decides: "hold" (default: n,k stay at the value at the nearest end of the data),
"openfilters" (OpenFilters' own extrapolation, identical to its GUI) or "refuse". Every result computed
outside the data says so, with the n,k used and what the other choice would give; optimizations, campaigns
and yield analyses do not start until the choice is made (Claude asks you).
A target:
Validation
The test suite (pytest) checks the ported core against analytic results (quarter-wave stacks) and
an independent transfer-matrix implementation (dispersive dielectrics, absorbing metals, 0–60°,
s/p/unpolarized; agreement < 1e-9) and textbook closed forms (quarter-wave antireflection and absentee
layers, V-coat zero, Brewster angle, quarter-wave stack peak reflectance and stop-band width), round-trips every example project through .ofp files, and runs
the refinement and needle optimizations of the OpenFilters examples.
How the port was made
src/openfilters_core is generated from the original OpenFilters 1.1.1 sources by
tools/port_from_py2.py, an auditable script (mechanical Python 2 → 3 conversions, a short list of
targeted fixes, package-relative imports). The _abeles C++ extension uses the Python 3 C-API port by
Emil Kleijn; _moremath is ported by the same script. See src/openfilters_core/PROVENANCE.md.
Privacy
Everything runs on your computer: no data is sent anywhere and there is no telemetry. The only network access is downloading public refractiveindex.info data when you ask for it. See PRIVACY.md.
Citing
If you use this in published work, please cite OpenFilters:
S. Larouche and L. Martinu, "OpenFilters: open-source software for the design, optimization, and synthesis of optical filters," Applied Optics 47, C219–C230 (2008).
Contact
- Bug reports and feature requests: GitHub Issues
(please include the output of the
server_infotool). - Collaboration and other questions: Bruno Esteves, Center for MicroElectroMechanical Systems (CMEMS), University of Minho: [email protected].
License
GPL-2.0-or-later, like OpenFilters. OpenFilters is © Stéphane Larouche; this project is not affiliated with or endorsed by its authors or Polytechnique Montréal.
Source: README.md at commit df760da
Tools
0Version history
1- v0.2.2LatestNov 7, 2026
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