A
licenseA
qualityB
maintenanceQuery 2,500+ verified public datasets (World Bank, IMF, Eurostat, OECD, WHO) from your AI agent. Search, analyze, and visualize data, and publish charts — with verified SEC + official source data.
28
662
1
MIT
baselight
by ai.baselight
Server Details
Query Baselight's public catalog of 70,000+ datasets — finance, demographics, sports, and more.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
MCP client
Glama
MCP server
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
100% free. Your data is private.
Tool Definition Quality
A4.3/5.0
Tool DescriptionsA
Average 4.2/5 across 9 of 9 tools scored. Lowest: 3.6/5.
Server CoherenceA
Disambiguation5/5
Each tool has a distinct purpose: discovery (search_catalog, search_tables), metadata retrieval (get_dataset_metadata, get_dataset_tables, get_table_metadata), user info (get_user), ping, and query execution (sdk_query_execute, sdk_get_results). There is no overlap or ambiguity between tools.
Naming Consistency5/5
All tools follow the consistent pattern `baselight_<verb>_<noun>` using snake_case. Verbs like get, search, ping, and query-related sdk_ prefix are used consistently across the tool set.
Tool Count5/5
With 9 tools, the set covers discovery, metadata, query execution, and user info without being overwhelming. The number is well-scoped for a data catalog and query platform.
Completeness5/5
The tools cover the full lifecycle for data exploration: discovery, metadata inspection, query execution, and result retrieval. No obvious gaps exist for the intended use case of browsing and querying datasets.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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