mcp-csv-database
Related Servers
Alternatives to mcp-csv-database
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables natural language data analysis on uploaded CSV files by converting them to SQLite and exposing read-only database tools via MCP. Integrates with Ollama LLM to translate user questions into safe SQL queries.-
- AlicenseAqualityNot gradedmaintenanceAn MCP server that enables AI assistants to load, query, and analyze local CSV files using tools for filtering, aggregation, and grouping. It provides capabilities to describe schemas, calculate statistics, and sample data directly from CSV files.6-
- AlicenseAqualityCmaintenanceEnables AI assistants to analyze CSV files by providing statistical analysis and structural summaries via MCP tools.2MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to run SQL analytics directly on CSV files in place via MCP, avoiding imports and token-heavy data pasting. It provides read-only querying, schema inspection, and file listing while keeping data local.27MIT
- FlicenseNot gradedqualityDmaintenanceA local MCP server for analyzing CSV files from your filesystem, particularly suited for chatbot conversation logs. Allows listing, reading, filtering, merging, and statistical analysis of CSV data via natural language.-
- FlicenseNot gradedqualityDmaintenanceEnables AI models to interact with local CSV and Parquet data through MCP tools, providing summarization and analysis capabilities.1-
TDQS
Scored across 14 tools
Most tools have clearly distinct purposes, but there is some overlap among info tools (get_table_info, get_database_schema, get_data_summary) that could cause confusion if an agent doesn't read descriptions carefully.
All tool names follow a consistent verb_noun pattern (e.g., load_csv_folder, find_duplicates, get_column_stats), making it easy to predict functionality from the name.
14 tools cover the core operations of a CSV database server (loading, querying, analysis, management, export) without being excessive or sparse.
The tool surface covers loading, querying, analysis, schema inspection, indexing, backup, and export. Missing dedicated tools for dropping tables or bulk data modifications, but these can be handled via execute_sql_query.