MCPymol (chemrich/MCPymol) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.
A Model Context Protocol server that lets you drive PyMOL with natural language, enabling structure loading, analytical views, measurements, and protein exploration through AI assistants.
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Limited view: static analysis for Python is partially covered.
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chemrich
Source: Glama
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MCPYMOL_PORTChanging the port. Set before launching both PyMOL and the bridge:MCPYMOL_MMSEQS_URLconservation_view is slow First call hits the ColabFold MMseqs2 API (30 s–few min); subsequent calls for the same sequence hit a local cache If you have an internal MMseqs2 server, setTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
106/106 tools missing one or more hints — fetch_structure (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); load_structure (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); show (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +103 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool inputs are validated
96/106 tool handlers declare input schemas (91%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 2/106 tool handlers wrap calls in try/catch (2%)
Wrap each tool handler body in try/catch and return a structured error response.
Tests exist
No test files found
Add tests that exercise each declared tool.
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