MatRouter

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MatRouter is an agent-native materials evidence substrate. It routes explicit EvidenceRequirement objects to source-qualified operations and uses deterministic Python operators to decide whether returned evidence is admissible for a ClaimSpec.

The Agent control plane (LLM + MCP + Skill) plans and writes. The Python evidence plane owns capability truth, execution outcomes, provenance, scientific gates, and ClaimSupportMap. MatRouter therefore keeps availability → execution → admissibility separate: retrievable data or a successful API call is not by itself support for a scientific claim.

Install

MatRouter requires Python 3.11 or newer.

# Python dependency
uv add --prerelease=allow matrouter

# Standalone MCP command
uv tool install --prerelease=allow matrouter

From a checkout:

git clone https://github.com/MatRouter/matrouter.git
cd matrouter
uv sync
uv run matrouter

Python

from matrouter import create_router

with create_router() as router:
    print(router.explain_sources())

EvidenceBundle is the sole evidence truth. Deterministic qualification returns exactly four scientific dispositions: supported, conflicted, incomparable, and incomplete. An Agent may revise its plan but may not upgrade a MatRouter disposition.

Agent plugin

Codex and Claude Code can install the bundled plugin; other MCP hosts can run matrouter as a local stdio server and use the portable Skill when supported. See the user guide for the current installation and configuration procedure.

The sole distributable Skill source is plugins/matrouter/skills/matrouter/.

Scope

MatRouter does not mirror upstream databases, infer missing scientific context, or impose a fixed end-to-end research workflow. OPTIMADE remains complementary: OPTIMADE standardizes provider-side common records; MatRouter supplies agent-side evidence routing and task-relative scientific admissibility across native and OPTIMADE sources.

Documentation

Contact

License

MatRouter is licensed under Apache-2.0; see LICENSE and NOTICE. Retrieved data remains subject to each upstream provider's terms, licenses, attribution requirements, and access restrictions.

Project links

Data verified by PyPI on Aug 2, 2026
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Key dates

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  • Released:
Newer release available (0.11.0)

2 maintainers

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Avatar for quanshengwu from gravatar.com quanshengwu Avatar for zhutiannian from gravatar.com zhutiannian

Credits

Author: Quansheng Wu

Maintainer: Quansheng Wu

GitHub Statistics

Data verified by PyPI on Aug 2, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.11

Tags

aflow agent c2db materials-project materials-science mcp mpds optimade

Classifiers

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