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Molecular MCP Server

local only

Molecular MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 72 installs a week from pypi. Last commit 2 May 2026.

GPU-accelerated MCP server for molecular dynamics, N-body simulations, and particle systems

Installs per day peak 53 · avg 14 · -28% w/w
a month agotoday
72
Installs / week
pypi · scicomp-molecular-mcp
2
Stars
0 open issues
2 May 2026
Last commit
0 releases in 90 days
MIT
License
Python

What the code does

We read the source, 21 h ago · rules 3dff92dd89df

A tool parameter reaches a dangerous call

A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.

A tool parameter reaches a dangerous call matrix_multiply.use_gpu → servers/math-mcp/src/math_mcp/server.py:645, optimize_function.function → servers/math-mcp/src/math_mcp/server.py:793, optimize_function.function → servers/math-mcp/src/math_mcp/server.py:831 и ещё 7
            arr = ensure_array(eval(func_str, namespace).astype(dtype), use_gpu=use_gpu)  # noqa: PGH001
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] src/molecular_mcp/__init__.py:1, [пакет] src/molecular_mcp/server.py:1
этот файл ставится пользователю, но в репозитории его нет
            arr = ensure_array(eval(func_str, namespace).astype(dtype), use_gpu=use_gpu)  # noqa: PGH001
In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Builds a database query by concatenation .github/workflows/publish.yml:60
      - name: Update version in pyproject.toml
        run: |
          cd ${{ matrix.package }}

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

A tool parameter here reaches a dangerous call

That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add molecular-mcp -- uvx scicomp-molecular-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "molecular-mcp": {
      "args": [
        "scicomp-molecular-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.molecular-mcp]
command = "uvx"
args = ["scicomp-molecular-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "molecular-mcp": {
      "args": [
        "scicomp-molecular-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "molecular-mcp": {
      "args": [
        "scicomp-molecular-mcp"
      ],
      "command": "uvx"
    }
  }
}

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Molecular MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Molecular MCP?
Molecular MCP runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package scicomp-molecular-mcp was installed 72 times last week.
How do I connect Molecular MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls scicomp-molecular-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Molecular MCP?
The pypi package scicomp-molecular-mcp was installed 72 times in the last week. Week over week that is -28%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Molecular MCP open source?
Yes — it is published under the MIT licence, written in Python and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.