Materials Project MCP
Related Servers
Alternatives to Materials Project MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceProvides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.101MIT
- AlicenseNot gradedqualityDmaintenanceThe Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.13MIT
- AlicenseNot gradedqualityDmaintenanceEnables natural language querying of OPTIMADE-compatible material databases like Materials Project and Materials Cloud via the Model Context Protocol. It provides tools for linting query filters, discovering database providers, and accessing full structured data results as MCP resources.4MIT
- AlicenseNot gradedqualityBmaintenanceProvides computed (DFT) materials structures and thermodynamic properties through the Pipeworx MCP gateway, enabling AI agents to query materials data via natural language or tool calls.2 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables querying and retrieving materials data from the Materials Project via MCP tools, supporting search, lookup, comparison, and export.1-
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to verify the novelty and validity of invented battery materials, with support for searching and validating against a materials database.2MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: find_materials_by_formula searches by chemical formula, get_material_details retrieves detailed information by ID, and get_materials_with_elements searches by element composition. There is no overlap in functionality, making tool selection unambiguous for an agent.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., find_materials_by_formula, get_material_details, get_materials_with_elements). The naming is predictable and readable throughout the set.
With only 3 tools, the set feels thin for a materials science domain, which might involve more operations like filtering by properties, comparing materials, or updating data. While the tools cover basic search and retrieval, the count is borderline for comprehensive coverage.
The tools provide essential search and retrieval functions (by formula, ID, and elements), but there are notable gaps. For a materials database, operations like filtering by material properties (e.g., band gap, stability), sorting, or pagination are missing, which could limit agent workflows in more complex tasks.