Cabrini Market Data vs MCP Polygon)
A side-by-side look at the Cabrini Market Data and MCP Polygon) MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Cabrini Market Data for finance & fintech work as a local process; choose MCP Polygon) for finance & fintech as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Cabrini Market Data when
- You need dedicated capabilities in the Finance & Fintech domain.
- You prefer a local stdio subprocess transport.
Choose MCP Polygon) when
- You need dedicated capabilities in the Finance & Fintech domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
MASSIVE_API_KEY. - You want tools like
search_endpoints, call_api, query_data.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Finance & Fintech | Finance & Fintech |
| Quality signal | 39/100 · Fair | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | None listed | MASSIVE_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 398 |
| Directory activity | 0 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | Not listed | 3 |
| Full listing | View Cabrini Market Data | View MCP Polygon) |
Tools & capabilities
Cabrini Market Data tools
No tool names declared yet. Check the project README from the listing page.
MCP Polygon) tools 3
search_endpointsSearch for API endpoints and built-in functions by natural language query. Returns titles, path patterns, and descriptions. Set `detail` to `"more"` for query parameter docs, or `"verbose"` for full documentation. Use `max_results` to limit results.call_apiCall any Massive.com REST API endpoint. Supports storing results as an in-memory database table (`store_as`) and applying post-processing functions (`apply`). Paginated responses include a next-page hint.query_dataRun SQL against stored SQLite DB. Supports `SHOW TABLES`, `DESCRIBE <table>`, `DROP TABLE <table>`, CTEs, window functions, and more. Results can also be post-processed with `apply`.
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.
Cabrini Market Data
{
"mcpServers": {
"cabrini-market-data": {
"command": "uvx",
"args": [
"cabrini"
]
}
}
}
MCP Polygon)
{
"mcpServers": {
"polygon-io-mcp-polygon-": {
"command": "uvx",
"args": [
"--from",
"...",
"mcp_massive"
],
"env": {
"MASSIVE_API_KEY": "YOUR_MASSIVE_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Cabrini Market Data is categorized under Finance & Fintech and uses a local stdio subprocess. MCP Polygon) belongs to Finance & Fintech and uses a local stdio subprocess. Pick Cabrini Market Data for finance & fintech work and MCP Polygon) 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.
Cabrini Market Data has no declared pricing — check the project's own site. MCP Polygon) is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key 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 cabrini-market-data and polygon-io-mcp-polygon- as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Cabrini Market Data has a quality signal of 39/100 (Fair) with 0 views, 0 installs and 1 GitHub stars. MCP Polygon) has 63/100 (Good) with 5 views, 0 installs and 398 GitHub stars.