"ANA" matching MCP servers:

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.

Enables AI agents to read and extract text, tables, and image content from files (PDF, DOCX, PPTX, SVG, PNG) within a folder, providing structured data for interpretation by the calling model.

Enables read-only analysis of local unstructured documents by scanning a folder, extracting text and structural metadata, and passing content with truncation and error-awareness to an LLM for summarization.

Enables LLM hosts like Claude Code or Codex CLI to inspect folder structures and read unstructured documents (PDF, PPTX, DOCX, SVG, and images) by returning raw text and images for the host to summarize or analyze.

Enables an agent to inspect an audio folder and report what is inside each file — duration, sample rate, channels, codec and bitrate — and to group byte-identical files, identical decoded audio stored in different containers, and near-duplicate candidates, with suggested keeps and explicit differences, all read-only.

A simple Model Context Protocol (MCP) server that allows LLMs to create and manage user entries in a JSON file system database.

A Model Context Protocol server that analyzes various log types on Windows systems, allowing users to register, query, and analyze logs from different sources including Windows Event Logs, ETL files, and structured/unstructured text logs.

Provides tools for text file analysis, including metrics like word counts and character frequencies, alongside file reading and directory browsing capabilities. This server enables LLMs to interact with and process local file content securely through the Model Context Protocol.

Enables efficient reading, analyzing, and querying of Excel, CSV, and JSON files with support for chunked processing, column/field filtering, and streaming for large datasets. Supports multiple transport protocols (stdio, HTTP, SSE) for flexible integration.

An MCP server that bridges MCP clients to ANSA CAE pre-processor via file IPC, enabling geometry operations, model management, and solver deck export.

Enables Claude to read and analyze large architectural drawing PDFs by slicing them into manageable chunks and bridging them into Claude's environment via the Filesystem connector.

A local, read-only MCP server that analyzes Python backend projects by providing tools to scan, map, and selectively read files, reducing token usage for AI clients.

Assists in Advanced Persistent Threat malware analysis by providing tools to securely download samples via jump servers using SSH and SCP. It enables automated retrieval of remote files through a multi-hop configuration for analysis workflows.

Local MCP server that extracts text and structure from PDF, DOCX, PPTX, SVG, and PNG files, along with directory and metadata listing, for read-only document analysis by LLM hosts.

A 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.

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 local, read-only extraction of text and structure from PDF, DOCX, PPTX, SVG, and PNG files, including OCR for images, directory tree and metadata reporting, with strict path isolation and audit logging.

Enables extracting text, structure, and image data from unstructured documents (PDF, DOCX, PPTX, SVG, PNG, JPG) and scanning folder trees.

Enables sales data analysis from CSV files using MCP tools, resources, and prompts, including metrics like revenue, profit, top products, and monthly trends.