"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.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

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.

MCP server that processes car insurance claims by extracting structured data from raw accident reports, classifying severity using a two-model judge pipeline, and generating broker notifications.

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 investigate and resolve operational exceptions across orders, payments, inventory, and fulfillment through a multi-system truth and guarded actions.

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

Enables AI agents on Windows to build parts from JSON recipes, create and verify whole assemblies in a single call, check mass, center of mass, mates and interference, produce drawings with BOM, balloons and sections, work with sheet metal, and import/export STEP, IGES, PDF and DXF files. All edits run with automatic backups and verified rollback so user files are never left broken.

A Model Context Protocol server that enables LLMs to interact with cryptocurrency exchanges through CCXT, allowing for tasks like fetching balances, market data, creating orders, and trading operations in a standardized way.

Enables AI agents to discover products, verify signed catalog feeds, negotiate within published policies, and place mandate-bound orders with signed receipts via MCP, A2A, or REST.

Enables AI agents and streamers to monitor and control Oxygen Not Included gameplay through MCP, including world editing, colony alerts, building orders, navigation, dupe management, and game speed control.

Enables AI agents to autonomously order food from Grubhub, including searching restaurants, browsing menus, managing cart, placing orders, and tracking delivery.

Enables fully local, end-to-end research automation: reproducing papers from PDF into runnable code and verified artifacts, writing papers section-by-section with LaTeX/PDF/DOCX export, and running an ideate→debate→design→verdict research pipeline—all without an API key.

Enables Claude, LangGraph and other AI agents or CLI clients to read Groww portfolio, quotes and live prices and to place stock and F&O orders through the Groww Trade API. Orders pass through a safety pipeline with dry-run defaults, risk limits, a kill switch and an audit log.

Enables an AI assistant to drive PTV Vissim 2026 over COM, letting it open, edit, simulate, and read results from Vissim networks while protecting project files and logging changes.