A
licenseNot graded
qualityC
maintenanceEnables AI agents to access file systems, fetch web content, query databases, and execute shell commands through the standardized Model Context Protocol.
MIT
Chaprola MCP Server
by cletcher
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TDQS
B3.3/5.0
Scored across 44 tools
Disambiguation3/5
Several tools have overlapping purposes, particularly the import variants (import, import_process, import_download, import_url) which all involve bringing data in but via different methods. Also, chaprola_report and chaprola_export_report both run programs, and chaprola_run and chaprola_run_each are similar. However, most tools have clear distinct roles (e.g., insert_record vs update_record vs delete_record), and descriptions mitigate some ambiguity.
Naming Consistency3/5
All tools share the consistent 'chaprola_' prefix, which is good. However, the suffix pattern is mixed: some tools use verb_noun (insert_record, schedule_delete), others use bare verbs (import, export, list), and there are inconsistent variations like import_process vs import_download vs import_url. Also, BAA tools place the domain word differently (baa_text, sign_baa, baa_status). This inconsistency reduces predictability.
Tool Count2/5
With 44 tools, this server is significantly over the typical well-scoped range of 3-15 tools. The large count likely overwhelms agents and makes tool selection harder. Many tools could be consolidated (e.g., the import variants) or omitted (e.g., email and web search may be tangential). While the platform is broad, the sheer number makes the server unwieldy.
Completeness4/5
The tool surface is quite comprehensive for the Chaprola data platform, covering import/export, record CRUD, schema operations, program compilation/execution, publishing, scheduling, email, and web search. Minor gaps include a direct 'get record' operation (though query covers it) and file deletion tools. Overall, the domain is well-covered with only a few workarounds needed.
Maintenance
ActivityInactive
ResponsivenessNo issues