Rosetta MCP Server

Rosetta MCP Server

An MCP server that enables AI coding assistants to interact with Rosetta, PyRosetta, and Biotite for running RosettaScripts, validating XML, translating between Rosetta and Biotite, scoring structures, and querying documentation.

Category
访问服务器

README

<p align="center"> <img src="./assets/banner2.png" width="100%" alt="Rosetta MCP Server" /> </p>

Rosetta MCP Server

Author: Ariel J. Ben-Sasson

A Model Context Protocol (MCP) server that lets Cursor (or any MCP client) work with Rosetta, PyRosetta, and Biotite: run RosettaScripts, validate XML protocols, translate between Rosetta and Biotite, score structures, and query documentation -- all from your AI coding assistant.

What's new in v1.3.0 (vs v1.1.8 on npm)

New: Biotite integration

  • rosetta_to_biotite -- Find the Biotite equivalent of any Rosetta function with working example code (21 mappings covering structure I/O, SASA, RMSD, superimposition, secondary structure, contacts, hydrogen bonds, B-factors, angles, and more)
  • biotite_to_rosetta -- Reverse lookup: find the Rosetta equivalent of a Biotite function
  • translate_rosetta_script_to_biotite -- Translate entire RosettaScripts XML or PyRosetta code to Biotite Python. Design/optimization operations are flagged as Rosetta-only.
  • Fuzzy search with keyword aliases ("contacts", "binding energy", "surface area", "align", etc.)

Improved: XML to PyRosetta translator

  • 37 element types supported (was 6): 11 movers, 9 filters, 10 selectors, 7 task operations
  • Full attribute handling: repeats, disable_design, cartesian, tolerance, threshold, distance, and more
  • Child element support: MoveMap (with Span), Reweight, ScoreFunction
  • Reports unrecognized elements so you know what needs manual work

Improved: Help and documentation

  • get_rosetta_help now accepts any topic: movers by name ("FastRelax"), concepts ("constraints", "docking"), or score functions ("ref2015") -- auto-fetches live docs from rosettacommons.org
  • search_rosetta_web_docs fallback: when DuckDuckGo is rate-limited, probes direct Rosetta docs URLs
  • get_cached_docs auto-caches: no need to call cache_cli_docs first
  • Expanded static help for score_functions, movers, filters, xml, and parameters

Improved: Scoring

  • pyrosetta_score: new per_residue option returns per-residue energy breakdown
  • scorefxn parameter now works (was ignored in v1.1.8)
  • Proper error messages for missing files instead of silent {}

Improved: Validation

  • validate_xml: new validate_against_schema option checks element names against the Rosetta XSD schema (catches typos like FastRleax)

MCP spec compliance fixes

  • tools/call responses now use correct { content: [{ type: "text", text }] } format
  • Tool errors return isError: true (not JSON-RPC errors)
  • Standard JSON-RPC error codes (-32601, -32700, -32603)
  • Removed false resources capability advertisement

Security fixes

  • User input no longer interpolated into Python code (uses env vars / stdin)
  • Temp files written to os.tmpdir() (not module directory)

Cleanup

  • Removed 3 redundant tools: list_functions (merged into get_rosetta_info), search_pyrosetta_wheels, cache_cli_docs (auto-cache in get_cached_docs)
  • Removed hardcoded personal paths
  • Fixed shadowed variables, async anti-patterns, dead code
  • 18 tools (was 21), all with improved agent-oriented descriptions

Example: asking a naive question

This is what makes the MCP server powerful -- an AI agent can answer domain questions by calling the right tools automatically:

User asks in Cursor: "How do I relax my protein and what's the Biotite equivalent?"

The agent calls two MCP tools behind the scenes:

1. get_rosetta_help("FastRelax") returns 6000+ chars of live documentation:

FastRelax performs all-atom relaxation using the FastRelax protocol. Parameters include scorefxn, repeats, cartesian, disable_design, MoveMap configuration...

2. rosetta_to_biotite("FastRelax") returns:

{
  "found": true,
  "results": [{
    "rosetta": { "name": "FastRelax", "example": ["relax = FastRelax()", "relax.set_scorefxn(get_score_function('ref2015'))", "relax.apply(pose)"] },
    "biotite": null,
    "equivalence": "none_from_biotite",
    "notes": "Biotite does NOT perform structure optimization. These are Rosetta-specific capabilities."
  }]
}

The agent synthesizes: "FastRelax is Rosetta's all-atom relaxation protocol. Here's how to use it... Note: Biotite is analysis-only and has no equivalent -- you need PyRosetta for structure optimization."

Without the MCP, the agent would guess from training data and likely get parameter names or API signatures wrong.


What you get (18 tools)

Discovery & Help

Tool Description
get_rosetta_info All available score functions, movers, filters, selectors, parameters
get_rosetta_help Help for any topic -- accepts mover names, concepts, or score functions
pyrosetta_introspect Live PyRosetta API search with docs and signatures

Documentation

Tool Description
search_rosetta_web_docs Search rosettacommons.org documentation
get_rosetta_web_doc Fetch and read a specific docs page
get_cached_docs Search cached CLI help (auto-caches on first use)

Execution & Scoring

Tool Description
run_rosetta_scripts Run a RosettaScripts XML protocol on a PDB
pyrosetta_score Score a PDB with optional per-residue breakdown

Translation

Tool Description
xml_to_pyrosetta XML to PyRosetta Python (37 element types)
rosetta_to_biotite Find Biotite equivalent of a Rosetta function
biotite_to_rosetta Find Rosetta equivalent of a Biotite function
translate_rosetta_script_to_biotite Translate full scripts from Rosetta to Biotite

Validation & Schema

Tool Description
validate_xml Check XML syntax + optional schema validation
rosetta_scripts_schema Generate XSD schema and extract element names

Environment

Tool Description
python_env_info Python version and installed packages
check_pyrosetta Verify PyRosetta is available
install_pyrosetta_installer Auto-install PyRosetta (10-30 min)
find_rosetta_scripts Locate the rosetta_scripts binary

Quick start

1. Install from npm

npm install -g rosetta-mcp-server

2. Set up Python environment

# Create a venv with PyRosetta and Biotite
uv venv ~/.venvs/rosetta-mcp
~/.venvs/rosetta-mcp/bin/pip install pyrosetta-installer biotite
~/.venvs/rosetta-mcp/bin/python -c "import pyrosetta_installer as I; I.install_pyrosetta()"

Or skip this step -- PyRosetta auto-installs on first use (takes 10-30 min).

3. Configure your MCP client

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "rosetta": {
      "command": "rosetta-mcp-server",
      "args": [],
      "env": {
        "ROSETTA_BIN": "/path/to/rosetta_scripts.default.macosclangrelease",
        "PYTHON_BIN": "/path/to/.venvs/rosetta-mcp/bin/python"
      }
    }
  }
}

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "rosetta": {
      "command": "rosetta-mcp-server",
      "env": {
        "ROSETTA_BIN": "/path/to/rosetta_scripts.default.macosclangrelease",
        "PYTHON_BIN": "/path/to/.venvs/rosetta-mcp/bin/python"
      }
    }
  }
}

Environment variables:

Variable Required Description
ROSETTA_BIN No Path to rosetta_scripts binary or its directory. If not set, searches common paths and PATH.
PYTHON_BIN No Python interpreter with PyRosetta/Biotite. Defaults to python3.
MCP_DEBUG No Set to 1 for debug logging to stderr.

4. Restart your editor

Open Settings -> MCP. The "rosetta" server should appear green with 18 tools.


XML to PyRosetta translation example

Input XML:

<ROSETTASCRIPTS>
  <SCOREFXNS>
    <ScoreFunction name="ref" weights="ref2015"/>
  </SCOREFXNS>
  <RESIDUE_SELECTORS>
    <Chain name="chainA" chains="A"/>
  </RESIDUE_SELECTORS>
  <MOVERS>
    <FastRelax name="relax" scorefxn="ref" repeats="5" cartesian="true"/>
  </MOVERS>
  <PROTOCOLS>
    <Add mover="relax"/>
  </PROTOCOLS>
</ROSETTASCRIPTS>

Generated PyRosetta code:

import pyrosetta
from pyrosetta import pose_from_pdb
from pyrosetta.rosetta.core.scoring import get_score_function
from pyrosetta.rosetta.core.select.residue_selector import *
from pyrosetta.rosetta.protocols.relax import *

pyrosetta.init("-mute all")

pose = pose_from_pdb("your_protein.pdb")

# Residue Selectors
chainSelector = ChainSelector()
chainSelector.set_chain_strings("A")

# Movers
fastRelax = FastRelax()
fastRelax.set_scorefxn(get_score_function("ref"))
fastRelax.set_default_repeats(5)
fastRelax.cartesian(True)

sfxn = get_score_function("ref2015")

# Apply movers
fastRelax.apply(pose)

pose.dump_pdb("output.pdb")
score = pose.energies().total_energy()
print(f"Final score: {score}")

Rosetta <-> Biotite mapping coverage

Category Rosetta Biotite Equivalence
Structure I/O pose_from_pdb PDBFile.read Full
Structure I/O pose.dump_pdb PDBFile.write Full
Structure I/O pose_from_file (CIF) CIFFile.read Full
Surface Analysis SasaMetric biotite.structure.sasa Full
Alignment SuperimposeMover biotite.structure.superimpose Full
RMSD all_atom_rmsd biotite.structure.rmsd Full
Secondary Structure DsspMover annotate_sse Partial
Sequence pose.sequence() get_residues Full
Distance AtomPairConstraint biotite.structure.distance Full
Angles pose.phi/psi/omega biotite.structure.dihedral Full
Interface InterfaceAnalyzerMover sasa + selection Partial
Database rcsb.pose_from_rcsb rcsb.fetch Full
Selection ChainSelector etc. numpy boolean indexing Full
Contacts distance matrices CellList Partial
Ramachandran pose.phi/psi dihedral_backbone Partial
H-bonds HBondSet biotite.structure.hbond Partial
B-factors pdb_info().bfactor AtomArray.b_factor Full
Center of Mass center_of_mass mass_center Full
Scoring ScoreFunction None Rosetta only
Optimization FastRelax None Rosetta only
Design FastDesign None Rosetta only

Troubleshooting

  • Server shows red in Cursor: Restart Cursor. Use absolute path in config (e.g., /opt/homebrew/bin/rosetta-mcp-server). Ensure Node 14+ and Python 3.8+.
  • run_rosetta_scripts fails: Verify ROSETTA_BIN points to a valid binary. Try "$ROSETTA_BIN" -help.
  • PyRosetta tools say "not available": Install via pip install pyrosetta-installer then run the installer, or let the MCP server auto-install on first use.
  • Biotite tools return no results: Install Biotite in the same Python env: pip install biotite
  • get_rosetta_help returns "No detailed help": Try the exact Rosetta class name (e.g., "FastRelax" not "relax"). The tool resolves common aliases but may miss unusual names.

Verify from the command line

# Check version
echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05"}}' | rosetta-mcp-server 2>/dev/null | python3 -c "import sys,json; print(json.loads(sys.stdin.readline())['result']['serverInfo'])"

# List all tools
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | rosetta-mcp-server 2>/dev/null | python3 -c "import sys,json; [print(t['name']) for t in json.loads(sys.stdin.readline())['result']['tools']]"

Development

rosetta-mcp-server/
├── rosetta_mcp_wrapper.js   # Node MCP server (protocol + all 18 tools)
├── rosetta_mcp_server.py    # Python helper (static Rosetta data)
├── install_pyrosetta.js     # Standalone PyRosetta installer
├── package.json             # npm package config
└── README.md

License and attribution

  • MIT for this repository
  • Rosetta/PyRosetta: see RosettaCommons licenses; commercial use requires the appropriate license
  • Biotite: BSD 3-Clause license

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选