Databar.ai vs Astrofabric MCP
A side-by-side look at the Databar.ai and Astrofabric MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Astrofabric MCPData Platforms · Local subprocess (stdio)Business intelligence: company and contact discovery, verification, enrichment, business signals, lists and governed delivery.49FairAuth: api key requiredVerdict: choose Databar.ai for data platforms work over a hosted endpoint; choose Astrofabric MCP for data platforms as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Databar.ai when
- You need dedicated capabilities in the Data Platforms domain.
- You prefer a remote HTTP/SSE transport.
- You have the keys it needs:
DATABAR_API_KEY. - You want tools like
search_enrichments, get_enrichment_details, run_enrichment.
Choose Astrofabric MCP when
- You need dedicated capabilities in the Data Platforms domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
ASTROFABRIC_API_KEY.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | Astrofabric MCP | |
|---|---|---|
| Category | Data Platforms | Data Platforms |
| Quality signal | 53/100 · Good | 49/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Not declared |
| Required env vars | DATABAR_API_KEY | ASTROFABRIC_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 5 | 1 |
| Directory activity | 2 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 18 | Not listed |
| Full listing | View Databar.ai | View Astrofabric MCP |
Tools & capabilities
Databar.ai tools 18
search_enrichmentsSearch enrichments by keyword or categoryget_enrichment_detailsGet parameters, pricing, and response fields for an enrichmentrun_enrichmentRun a single enrichment (with auto-polling and caching)run_bulk_enrichmentRun an enrichment on multiple inputs at oncesearch_waterfallsSearch available waterfall enrichmentsrun_waterfallRun a waterfall (tries providers sequentially)run_bulk_waterfallRun a waterfall on multiple inputs at oncecreate_tableCreate a new empty tablelist_tablesList all tables in your workspaceget_table_columnsGet column schema for a tableget_table_rowsGet rows with paginationget_table_enrichmentsList enrichments configured on a table- +6 more on the listing page
Astrofabric 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.
Databar.ai
{
"mcpServers": {
"databar-ai": {
"url": "https://api.databar.ai/v1"
}
}
}
Astrofabric MCP
{
"mcpServers": {
"sam1siam-astrofabric-mcp": {
"command": "npx",
"args": [
"-y",
"github:sam1siam/astrofabric-mcp"
],
"env": {
"ASTROFABRIC_API_KEY": "YOUR_ASTROFABRIC_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Databar.ai is categorized under Data Platforms and uses a remote HTTP/SSE transport. Astrofabric MCP belongs to Data Platforms and uses a local stdio subprocess. Pick Databar.ai for data platforms work and Astrofabric MCP for data platforms.
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.
Databar.ai has no declared pricing — check the project's own site. Astrofabric MCP has no declared pricing — check the project's own site. 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 databar-ai and sam1siam-astrofabric-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Databar.ai has a quality signal of 53/100 (Good) with 2 views, 0 installs and 5 GitHub stars. Astrofabric MCP has 49/100 (Fair) with 0 views, 0 installs and 1 GitHub stars.