Matlab MCP Server Python vs Scrivener MCP
A side-by-side look at the Matlab MCP Server Python and Scrivener MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Matlab MCP Server Python for code execution work as a local process; choose Scrivener MCP for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Matlab MCP Server Python when
- You need dedicated capabilities in the Code Execution domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
MATLAB_MCP_POOL_MATLAB_ROOT. - You want tools like
execute_code, check_code, get_workspace.
Choose Scrivener MCP when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Code Execution | Knowledge & Memory |
| Quality signal | 53/100 · Good | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Paid service | Free |
| Required env vars | MATLAB_MCP_POOL_MATLAB_ROOT | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 4 | 67 |
| Directory activity | 2 views 0 installs 0 upvotes | 18 views 12 installs 6 upvotes |
| Tools | 20 | Not listed |
| Full listing | View Matlab MCP Server Python | View Scrivener MCP |
Tools & capabilities
Matlab MCP Server Python tools 20
execute_codeRun MATLAB code. Returns inline if fast (<30s), or a job ID if promoted to asynccheck_codeRun `checkcode`/`mlint`. Returns structured warnings/errorsget_workspaceShow variables in the current MATLAB workspaceget_job_statusStatus + progress percentage for running jobsget_job_resultFull result of a completed jobcancel_jobCancel a pending or running joblist_jobsList all jobs in this sessionlist_toolboxesList installed MATLAB toolboxeslist_functionsList functions in a toolboxget_helpGet MATLAB help text for any functionupload_dataUpload data files to the sessiondelete_fileDelete a session file- +8 more on the listing page
Scrivener MCP tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Matlab MCP Server Python
{
"mcpServers": {
"hansur94-matlab-mcp-server-python": {
"command": "uvx",
"args": [
"matlab-mcp-python"
],
"env": {
"MATLAB_MCP_POOL_MATLAB_ROOT": "YOUR_MATLAB_MCP_POOL_MATLAB_ROOT_HERE"
}
}
}
}
Scrivener MCP
{
"mcpServers": {
"writerslogic-scrivener-mcp": {
"command": "npx",
"args": [
"-y",
"scrivener-setup"
]
}
}
}
Frequently asked questions
Matlab MCP Server Python is categorized under Code Execution and uses a local stdio subprocess. Scrivener MCP belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Matlab MCP Server Python for code execution work and Scrivener MCP for knowledge & memory.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Matlab MCP Server Python is listed as a paid service. Auth: no auth required. Scrivener MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add hansur94-matlab-mcp-server-python and writerslogic-scrivener-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Matlab MCP Server Python has a quality signal of 53/100 (Good) with 2 views, 0 installs and 4 GitHub stars. Scrivener MCP has 61/100 (Good) with 18 views, 12 installs and 67 GitHub stars.