quick-data-mcp
quick-data-mcp is an MCP server (Python) intended to let an AI agent perform agentic analytics on user-provided .json and .csv files via MCP Tools/Resources/Prompts, configured through an .mcp.json file pointing at a local directory.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
No explicit TLS/auth/scoping guidance is provided. As a local file-based MCP server, primary risks are uncontrolled file access within the configured directory, potential prompt/tool misuse, and lack of documented input validation, resource limits, and safe error handling.
⚡ Reliability
Best When
Used locally with an MCP client (e.g., Claude Code) for interactive analysis of datasets in a specified directory.
Avoid When
Avoid running it against untrusted or unbounded file inputs without sandboxing, file access restrictions, and explicit resource limits.
Use Cases
- • Exploratory data analysis (EDA) on local JSON/CSV datasets
- • Agent-driven transformations/inspections of CSV/JSON contents
- • Rapid prototyping of MCP server workflows for file-backed analytics
Not For
- • Production-grade, internet-exposed multi-tenant data platforms (no evidence of hardening or tenant isolation)
- • Highly sensitive regulated data workflows without explicit security controls and auditability
- • High-concurrency workloads where reliability guarantees and backpressure are required
Interface
Authentication
No authentication method is described in the provided README; access appears to rely on local configuration and the MCP client's connection to the server.
Pricing
No pricing information provided; repository metadata suggests a code project rather than a hosted service.
Agent Metadata
Known Gotchas
- ⚠ Server operates on filesystem directories; agents may attempt to access or request unintended paths unless the MCP server enforces strict resource boundaries
- ⚠ Large/unbounded CSV/JSON may cause timeouts or memory pressure; no limits or guidance described in the provided README
Alternatives
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Scores are editorial opinions as of 2026-03-30.