A side-by-side look at the Anpheros FHIR and MCP Run Python MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Anpheros FHIR for code execution work over a hosted endpoint; choose MCP Run Python for code execution as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
A
Choose Anpheros FHIR when
You need dedicated capabilities in the Code Execution domain.
No tool names declared yet. Check the project README from the listing page.
MCP Run Python 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.
Anpheros FHIR is categorized under Code Execution and uses a remote HTTP/SSE transport. MCP Run Python belongs to Code Execution and uses a local stdio subprocess. Pick Anpheros FHIR for code execution work and MCP Run Python for code execution.
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.
Anpheros FHIR has no declared pricing — check the project's own site. MCP Run Python 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 anpheros-fhir and pydantic-pydantic-ai-mcp-run-python as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Anpheros FHIR has a quality signal of 25/100 (Emerging) with 0 views, 0 installs and 0 GitHub stars. MCP Run Python has 48/100 (Fair) with 2 views, 0 installs and 20,470 GitHub stars.