Server Details
smart-data-extractor MCP server on Cloudflare Workers · REST + MCP JSON-RPC · free tier
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- lazymac2x/smart-data-extractor-worker
- GitHub Stars
- 0
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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
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.9/5 across 4 of 4 tools scored.
Each tool has a clear, distinct purpose: auto_schema_learn for schema inference, batch_extract for multi-source extraction, extract_from_api for API responses, and extract_from_url for URLs. No two tools overlap in their primary function.
Tool names use snake_case but with inconsistent patterns: 'auto_schema_learn' is adjective_noun_verb, while 'batch_extract' is noun_verb, and 'extract_from_api'/'extract_from_url' are verb_preposition_noun. This mismatch could confuse an agent.
Four tools is on the low side for a data extraction server, covering basic sources but lacking something like direct file extraction. The count is reasonable for a minimal server but feels slightly incomplete.
Covers schema learning and extraction from URLs, APIs, and batch sources, but missing extraction from local files, databases, or direct text input. No schema management or listing tools exist, leaving notable gaps.
Available Tools
4 toolsClaim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$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
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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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