A side-by-side look at the Coincap MCP and Whale Data MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Coincap MCP for finance & fintech work as a local process; choose Whale Data for finance & fintech. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Coincap MCP when
You need dedicated capabilities in the Finance & Fintech domain.
No tool names declared yet. Check the project README from the listing page.
Whale Data 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 Whale Data yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Coincap MCP is categorized under Finance & Fintech and uses a local stdio subprocess. Whale Data belongs to Finance & Fintech and uses an install path we have not confirmed yet. Pick Coincap MCP for finance & fintech work and Whale Data for finance & fintech.
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. Whale Data has no confirmed install command yet — follow its own setup instructions.
Coincap MCP is listed as free. Auth: no auth required. Whale Data has no declared pricing — check the project's own site. 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 quantgeekdev-coincap-mcp and whale-data as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Coincap MCP has a quality signal of 55/100 (Good) with 5 views, 0 installs and 92 GitHub stars. Whale Data has 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.