"Extracting Orders from PDF Files" matching MCP servers:

Enables AI agents to overcome context loops by extracting and packaging code for external AI consultation or automated multi-agent collaboration, with optional ChatGPT Desktop integration.

Lets AI agents search and discover skill files from a curated catalog to fill missing capabilities, providing download URLs for free items and purchase info for paid ones.

Reduces Claude's context window costs by automatically summarizing inactive files to their public interfaces using AST parsing, keeping only the full contents of the currently active file.

Generates AnyLogic simulation models from natural-language prompts in Claude Code, allowing users to describe queueing systems, factories, or ERs and obtain runnable .alp files.

Enables AI agents to learn from their sessions by inspecting history, proposing rules or skills, and automatically persisting them to configuration files.

MCP server for the FLOX trading framework. About 30 tools to run backtests, scaffold strategies, validate for lookahead bias, compute indicators, place orders, and query PnL from Claude/Cursor.

A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.

Enables LLMs to perform binary analysis using Ghidra in headless mode, extracting functions, pseudocode, structs, and enums from binaries for interactive reverse-engineering.

Enables AI assistants to trade on Kalshi through natural language, including placing orders, market data access, portfolio management, and paper trading with safety guardrails.

Enables AI tools to analyze Java dependencies by scanning Maven projects, decompiling JAR files, and extracting detailed class information including methods, fields, and inheritance relationships. Solves the problem of AI hallucinations when generating code that calls external dependencies by providing accurate class structures through decompilation.

A self-learning AI standards system that automatically detects patterns from user corrections and updates AI configuration files. Learns from repeated corrections (like 'use uv not pip') and automatically generates CLAUDE.md and other AI assistant configuration files.

Enables trading and portfolio management on Zerodha Kite Connect through natural language. Supports placing orders, viewing positions/holdings, accessing real-time market data, and managing GTT orders.

A Model Context Protocol server that integrates with Storybook to help AI tools query UI components and retrieve usage examples from static Storybook files.

MCP server for CPZAI platform, enabling AI agents to manage trading strategies, run backtests, route orders across brokers, and access portfolios, risk analytics, and market data through natural language.

A server that enhances AI assistants with the ability to update your JSON Resume by analyzing your coding projects, automatically extracting skills and generating professional descriptions.

Loads Agent Skills from markdown files, exposing them as MCP tools or system prompts for AI agents.

Enables AI agents to autonomously operate web browsers through the Model Context Protocol, including navigating pages, clicking, typing, filling forms, and extracting structured data.

A Model Context Protocol server for Kalshi prediction markets, enabling LLMs to query markets, prepare and confirm orders with safety caps and rate limiting.

Enables AI agents to control Minecraft characters and build structures from blueprint files via MCP, with tools for listing, parsing, building, and verifying schematics.

Automatically generates structured agile backlogs including epics, features, and user stories from natural language descriptions within AI-powered IDEs. It streamlines project management by creating AI-optimized markdown files and directory structures to guide step-by-step implementation.