"Files" matching MCP servers:

Enables AI agents to search and query the public DOJ Epstein Files release across 20 databases, resolve EFTA numbers to official DOJ PDFs, and cross-check viral claims against a fact-checked registry.

Enables Claude to analyze local CSV or Parquet files, handling larger datasets without uploading full files.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

This server is to precess files for LNR.

Allows the AI to read .ged files and genetic data.

Converts Quantum ESPRESSO output files to structured JSON and serves them via an HTTP API for use with MCP clients.

Gives Analysis Facility users read-only browse, read, stat, and grep access to their own files on shared NFS home and Ceph data areas, with kernel-enforced per-user permissions.

Enables querying OpenDRIVE road network files through structured MCP tools for summarizing maps, listing roads and lanes, converting coordinates, and validating files.

Enables to read and modify OpenFOAM configuration files, including case info, dictionary files, and boundary conditions, with additional tools for thermal and buoyancy simulations.

An MCP server that enables the analysis of CSV and Parquet files by providing tools for statistical summaries, data previews, and structure exploration. It allows users to query local datasets and create sample data using natural language.

Enables AI assistants to load and query local GEDCOM genealogy files, supporting search, browsing, and family tree traversal.

A PDF MCP server for extracting text, rendered pages, tables, links, annotations, outlines, metadata, and text statistics from PDF files.

MCP server for searching and retrieving documents, metadata, and files from CERN Document Server (CDS) with optional CERN SSO authentication.

Enables parsing, analysis, and export of power measurement data from Monsoon Power Monitor PT5 files, including summary statistics, sample retrieval, trend analysis, and CSV export.

Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.

Enables interaction with REDCap instances for managing research data, projects, and files through natural language.

Enables comprehensive analysis of CSV files and SQLite databases through tools for statistics, correlations, anomaly detection, pivot tables, time series analysis, visualization, and automated insights discovery.

Enables AI agents to load, query, and analyze IFC building model files, including spatial structures, elements, properties, materials, and geometry.

Read-only MCP tools for authenticated Open Science Framework projects, components, files, and contributors.

An 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.