io.github.GavinLee1/mcp-fleet

io.github.GavinLee1/mcp-fleet · v0.3.0 · data-and-databases

io.github.GavinLee1/mcp-fleet is healthy: it completed an MCP handshake in 2041 ms and exposes 12 tools.

12 MCP tools: invoice→JSON, text→SQL, PII redaction, regex & more. Free to try, pay per call.

Endpoint: https://mcp-fleet.nebula-labs.online/mcp/sse?src=mcp_registry (sse)

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Facts

Users (last 30 days)0
HandshakeHealthy
Auth neededNone
Tool count12
Latency2041 ms
Last checked (UTC)2026-10-15T01:31:07.629Z

Health history

Checked (UTC)StatusLatencyError
2026-10-15T01:31:07.629ZHealthy2041

Tools (12)

invoice_pdf_to_jsonConvert raw invoice text (extracted from PDF, email, or image OCR) into a structured JSON object. Returns vendor, date, line items, totals, and currency in a machine-readable format.
text_to_compliance_checklistConvert a block of requirement, regulation, or specification text into a structured compliance checklist. Each checklist item includes a category, obligation, priority (HIGH/MEDIUM/LOW), and verification method.
text_to_sqlConvert a natural-language data question into a SQL query. Returns the SQL, dialect, and tables used.
json_schema_inferInfer a JSON Schema (draft 2020-12) from a sample JSON document.
regex_builderBuild a regular expression from a plain-language description, with an explanation and test cases.
cron_explainExplain a cron expression in plain English and list the next run times.
sentiment_analyzeAnalyze sentiment of text with an overall score and per-aspect breakdown.
pii_redactLocally detect and redact high-confidence PII (emails, phones, SSNs, credit cards, IPs) from text — raw data never leaves the server. Returns redacted text and found entities.
email_draftTurn bullet points or a brief into a polished professional email (subject + body).
meeting_summarizeSummarize a meeting transcript into a summary, action items, decisions, and participants.
code_explainExplain what a code snippet does, step by step, with complexity and risk notes.
unit_test_outlineGenerate a unit-test outline (cases + coverage targets) for a function.