A side-by-side look at the Rhp MCP and Matplotlibnet MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Rhp MCP for data visualization work as a local process; choose Matplotlibnet for data visualization. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Rhp MCP when
You need dedicated capabilities in the Data Visualization domain.
No tool names declared yet. Check the project README from the listing page.
Matplotlibnet 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.
No confirmed install command for Matplotlibnet yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Rhp MCP is categorized under Data Visualization and uses a local stdio subprocess. Matplotlibnet belongs to Data Visualization and uses an install path we have not confirmed yet. Pick Rhp MCP for data visualization work and Matplotlibnet for data visualization.
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. Matplotlibnet has no confirmed install command yet — follow its own setup instructions.
Rhp MCP is listed as free. Auth: no auth required. Matplotlibnet 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 bezda-rhp-mcp and matplotlibnet as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Rhp MCP has a quality signal of 55/100 (Good) with 1 views, 0 installs and 28 GitHub stars. Matplotlibnet has 39/100 (Fair) with 0 views, 0 installs and 17 GitHub stars.