{"id":"disler-quick-data-mcp","name":"quick-data-mcp","homepage":null,"repo_url":"https://github.com/disler/quick-data-mcp","category":"ai-ml","subcategories":[],"tags":["mcp","tooling","data-analysis","csv","json","agentic-workflows","python"],"what_it_does":"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.","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"],"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.","alternatives":["Build custom MCP servers tailored to your schema and analytics needs","Use local Python data tooling directly (pandas/polars) with an agent framework","Other MCP file/data tools (if available) that offer stronger sandboxing and standardized error handling"],"af_score":40.8,"security_score":25.8,"reliability_score":28.8,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T13:41:55.872653+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"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":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information provided; repository metadata suggests a code project rather than a hosted service."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":40.8,"security_score":25.8,"reliability_score":28.8,"mcp_server_quality":55.0,"documentation_accuracy":45.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":90.0,"rate_limit_clarity":5.0,"tls_enforcement":20.0,"auth_strength":15.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":40.0,"security_notes":"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.","uptime_documented":0.0,"version_stability":50.0,"breaking_changes_history":45.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_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"]}}