"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.

An MCP project that orchestrates coffee orders by coordinating a Barista server and machine servers (grinder, brew unit, steamer, dispenser) through an LLM.

Enables AI agents to open, read, and act on live web pages through verified browser actions, including filling forms, extracting data, debugging pages, and handling bot walls.

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.

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.

Search, install, and manage AI agent skills (SKILL.md files) from GitHub repositories. Features workspace analysis for personalized recommendations and supports 140+ pre-indexed skills.

URL to screenshot, PDF, or structured extract for AI agents via MCP (stdio) and REST. Tools include screenshot, pdf, and extract.

Exposes OpenClaw tools (web search, page fetching, browser automation, PDF analysis, messaging, inter-agent communication, Canvas) as MCP tools for ACP agents.

Provides an agent-first note-taking system designed from the ground up for AI collaboration. Organizes your notes as a local vault of ordinary markdown files with semantic note types.

A Model Context Protocol server that enables AI assistants to control a real web browser with stealth capabilities, avoiding bot detection while performing tasks like clicking, filling forms, taking screenshots, and extracting data.

GOSCE Portfolio Router Single entry point for the GOSCE agent portfolio. Routes orchestrators to verified agents by capability with real example outputs from live self-test probes. Quality-assured broker, not a static directory. Structured Output MCP Agent Turn a prompt and field schema into validated, typed JSON using Instructor over Gemini 2.5 Flash. Ideal for extracting structured entities from

MCP server that gives AI agents web capabilities such as rendering pages, extracting content, resolving links, and inspecting domains, with per-call USDC payments via x402.

Enables AI agents to browse pizza menus, place orders, and track order status via the Model Context Protocol.

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

Enables AI agents to search, retrieve, and read skill files from a registry, exposing each skill as an MCP prompt and resource over HTTP or through a stdio bridge.

MCP server that enables your agents to use coding rules from any or your GitHub repository. Instead of workspace rules files, you can now prompt agents to access the your coding rules from any repository.

Official Kimss MCP server — call your Kimss agents, models, files, and vector stores from Cursor and other MCP clients using your API key.

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

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

Enables agents to discover and load agent skills by name over MCP from commit-pinned Git repositories, returning skill instructions and supporting files only on demand so nothing is preloaded into context.

Enables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.

Enables agents to record narrated, zoom-animated product demo videos of websites entirely on-device, including outlining pages, scripting tours, recording MP4s, reviewing frames, and extracting embedded recipes to fork or rerender demos.

Exposes tools for listing files and reading their contents over stdio, allowing MCP clients to inspect local filesystem paths during agent runs.

A Node.js MCP server that loads and manages decision trees from .rtdq files and provides basic to-do list functionality using Redis for storage.

Exposes existing AWS Lambda functions as MCP tools so AI agents can read and manage orders. Cognito-issued tokens and policy checks control which agents may call data-changing operations.

Enables MCP clients to drive isolated, persistent browser profiles — navigating, clicking, typing, extracting, screenshotting, evaluating JS, and managing tabs and cookies — each with its own cookies, fingerprint, and proxy. This lets AI agents complete real authenticated workflows in Chromium or Firefox-based engines with session state carried across launches.

Exposes a localhost MCP endpoint that lets agents launch and drive isolated, persistent browser profiles — navigating, clicking, typing, extracting, screenshotting, evaluating JS, managing tabs and cookies, and sending raw CDP commands. Each profile keeps its own cookies, login state, fingerprint, and proxy across sessions, enabling real authenticated workflows from Cursor, Claude Desktop, or any MCP client.

Enables running and supervising pi coding agents over RPC, with hot resume, cold resurrection from session files, sandboxed execution, lifecycle counters, and log/artifact inspection.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Exposes a shared task queue over MCP so an agent on one machine can list, claim, renew, and complete work delegated from another machine, returning output and files to the blocked waiter. It also lets agents delegate tasks in the other direction, with priority ordering, agent targeting, and lease-based recovery when a worker dies.