Magic MCP vs Datos Co
A side-by-side look at the Magic MCP and Datos Co MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Magic MCP for architecture & design work as a local process; choose Datos Co 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 Magic MCP when
- You need dedicated capabilities in the Architecture & Design domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
TWENTY_FIRST_API_KEY, API_KEY_21ST.
Choose Datos Co when
- You need dedicated capabilities in the Data Platforms domain.
- You prefer a local stdio subprocess transport.
- You want tools like
search_datasets, dataset_columns, query_dataset.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Architecture & Design | Data Platforms |
| Quality signal | 53/100 · Good | 53/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | Not declared |
| Pricing | Paid service | Not declared |
| Required env vars | TWENTY_FIRST_API_KEYAPI_KEY_21ST | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 6,236 | 0 |
| Directory activity | 16 views 1 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | Not listed | 3 |
| Full listing | View Magic MCP | View Datos Co |
Tools & capabilities
Magic MCP tools
No tool names declared yet. Check the project README from the listing page.
Datos Co tools 3
search_datasetsSearch datasets published on Colombia's open-data portal datos.gov.co. Returns each dataset's Socrata 4x4 id (e.g. "gt2j-8ykr"), name, and description (Spanish). Use the id with dataset_columns and query_dataset. Query terms can be Spanish or English (e.g. "covid", "presupuesto", "contratos").dataset_columnsList the columns of a datos.gov.co dataset: field name (used in SoQL $select/$where), human label, and data type. Call this before query_dataset so you know which fields exist. datasetId is the Socrata 4x4 code from search_datasets.query_datasetQuery rows from a datos.gov.co dataset using SoQL. datasetId is the Socrata 4x4 code from search_datasets. SoQL clauses: $select (columns / aggregates like "count(*)"), $where (SQL-like filter, e.g. "departamento_nom='BOGOTA' AND edad > 60"), $order ("count desc"), $group, $q (full-text across the…
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.
Magic MCP
{
"mcpServers": {
"21st-dev-magic-mcp": {
"command": "npx",
"args": [
"-y",
"@21st-dev/cli@latest"
],
"env": {
"TWENTY_FIRST_API_KEY": "YOUR_TWENTY_FIRST_API_KEY_HERE",
"API_KEY_21ST": "YOUR_API_KEY_21ST_HERE"
}
}
}
}
Datos Co
{
"mcpServers": {
"datos-co": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-datos-co"
]
}
}
}
Frequently asked questions
Magic MCP is categorized under Architecture & Design and uses a local stdio subprocess. Datos Co belongs to Data Platforms and uses a local stdio subprocess. Pick Magic MCP for architecture & design work and Datos Co 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.
Magic MCP is listed as a paid service. Auth: api key required. Datos Co 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 21st-dev-magic-mcp and datos-co as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Magic MCP has a quality signal of 53/100 (Good) with 16 views, 1 installs and 6,236 GitHub stars. Datos Co has 53/100 (Good) with 1 views, 0 installs and 0 GitHub stars.