A side-by-side look at the Ena and Ucsc Genome MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Ena for biology & bioinformatics work as a local process; choose Ucsc Genome MCP for biology & bioinformatics. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Ena when
You need dedicated capabilities in the Biology & Bioinformatics domain.
No tool names declared yet. Check the project README from the listing page.
Ucsc Genome 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.
No confirmed install command for Ucsc Genome MCP yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Ena is categorized under Biology & Bioinformatics and uses a local stdio subprocess. Ucsc Genome MCP belongs to Biology & Bioinformatics and uses an install path we have not confirmed yet. Pick Ena for biology & bioinformatics work and Ucsc Genome MCP for biology & bioinformatics.
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. Ucsc Genome MCP has no confirmed install command yet — follow its own setup instructions.
Ena has no declared pricing — check the project's own site. Ucsc Genome 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 ena and hlydecker-ucsc-genome-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Ena has a quality signal of 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Ucsc Genome MCP has 35/100 (Fair) with 5 views, 0 installs and 6 GitHub stars.