# ORION-DBs

> Use this tool when you need to access and query large research information datasets from various scholarly sources, such as OpenAlex, Crossref, and ORCID. It solves problems related to data discovery, exploration, and analysis by providing functions to list datasets, inspect table schemas, and estimate query costs. It takes SQL queries as input and returns query results, with optional use of Google Cloud Platform (GCP) credentials for full querying capabilities.

Canonical page: https://skillsregistry.net/skills/orion-dbs  
JSON: https://api.skillsregistry.net/v1/skills/orion-dbs

## Description

Provides access to the ORION-DBs collection of open research information datasets hosted on Google BigQuery. Supports listing available datasets, inspecting table schemas, estimating query costs, and executing SQL queries against datasets from OpenAlex, Crossref, ORCID, DataCite, and other scholarly data sources. Basic exploration functions work without a GCP account via BigQuery's free sandbox tier, while full querying requires Application Default Credentials.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/orion-dbs)
- **Repository:** <https://github.com/subugoe/orion-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "orion-dbs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/orion-dbs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/orion-dbs/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt