"Convert a PDF into a Graph DB Representation for Decision Trees" matching MCP servers:

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

5,000 years of military strategy, philosophy, and decision science — as AI-accessible tools.

Full-stack PDF intelligence MCP server for extracting, manipulating, annotating, converting, validating, and RAG-searching PDFs through a unified tool surface and React workbench.

Memory-efficient MCP server for reading and splitting large PDF files page by page using PyMuPDF.

A multi-database MCP server with OAuth 2.0 authentication and granular access control, enabling secure connections to multiple database types (SQLite, MySQL, PostgreSQL, MongoDB, Redis) with configurable read/write permissions and tool filtering.

Local-first PostgreSQL MCP bridge with parameterized queries (SQLi prevention), read-only mode, tamper-evident audit logs

Provides PDF reading, text search, navigation, and form filling capabilities through MCP, with cross-platform PDF viewer integration for seamless document interaction.

A Model Context Protocol server that enables AI agents to read, search, and extract content from PDF files.

An MCP server for high-quality bidirectional PDF ↔ Markdown conversion with full Unicode/CJK character support, enabling users to convert files via natural language commands.

Enables AI assistants to natively read, edit, and redact PDF documents in place through MCP tools, eliminating manual script execution and layout issues.

A Model Context Protocol (MCP) server that provides comprehensive PDF redaction capabilities, including text and image redaction, search, and session-based in-memory operations using FastMCP and pymupdf.

Enables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.

MCP server for Parks on the Air (POTA) providing live activator spots, park details, activator/hunter stats, and scheduled activations through any MCP-compatible AI assistant.

Converts Markdown files to Word (.docx) and PDF documents. Supports .dotx templates for branded styling and batch conversion.

Converts dense PDFs into soft, minimal, card-based HTML readers with preserved source text, rendered pages, and cropped tables/figures as images, all processed locally.

Exposes SQL Server and Snowflake schema metadata to AI coding agents, enabling schema search, join path discovery, and stored procedure metadata retrieval without live queries.

An MCP server for HF radio propagation analytics using the IONIS dataset collection, enabling natural language queries about band conditions, propagation paths, and solar correlations.

A small Python MCP server for querying PostgreSQL and MySQL databases with read-only safety, featuring schema inspection, table description, and query execution tools.

A FastMCP server that enables safe, read-only exploration and querying of relational databases (SQLite, PostgreSQL, MySQL) through natural language, with tools for schema inspection, query execution, plan explanation, and migration validation.

An MCP server for tracking student learning via a knowledge graph, with spaced repetition scheduling and intelligent queries to identify gaps, misconceptions, and optimal next steps.