ai.extend/extend (MCP Server)

The ai.extend/extend MCP server turns unstructured documents into structured data for agents. It parses and extracts content from PDFs, images, Office files, and spreadsheets, performs classification and splitting, supports PDF form filling, and enables multi-step document workflows.

🛠️ Key Features

Hosted Extend MCP server at https://mcp.extend.ai/mcp
80+ tools for extraction, parsing, classification, splitting, PDF editing, workflows, and files
Document-to-structured-data capabilities: parse, field extraction, classify, split, PDF form filling

🚀 Use Cases

Converting PDFs and other office assets into structured outputs for agent workflows
Extracting fields from documents, then classifying and splitting content
Filling PDF forms and running multi-step document workflows

⚡ Developer Benefits

Plugin packaging of document processing for agents
Broad tool coverage (80+ tools) spanning extraction through workflow orchestration

⚠️ Limitations

Tool count is provided as “80+”; exact tool list is not included in the source data

Extend Agent Plugin

Document processing for agents, packaged as a plugin. Extend turns unstructured documents (PDFs, images, Office files, spreadsheets) into structured data: parsing, field extraction, classification, splitting, PDF form filling, and multi-step document workflows.

This plugin bundles:

The hosted Extend MCP server (https://mcp.extend.ai/mcp): 80+ tools covering extraction, parsing, classification, splitting, PDF editing, workflows, files, webhooks, and evaluations. Sign-in is OAuth: your client opens a browser window where you choose the workspace and environment the connection may use. The server teaches its own cross-tool usage patterns through MCP server instructions and per-response guidance, so no companion skill is needed for it.

extend-api skill: a compact brief for agents writing integration code against the Extend API and SDKs: endpoints, schema rules, sync-vs-async patterns, webhooks, and error handling.

extend-cli skill: how to drive the extend CLI for shell, script, and CI work against local files.

The skills also install standalone, without the plugin:

bash

npx skills add extend-hq/extend-agent-plugin

Install

Cursor: install "Extend" from the Cursor Marketplace, or load this repository from ~/.cursor/plugins/local/ for development.

Claude Code: claude plugin install extend once listed in the plugin directory, or add this repository as a plugin marketplace.

Any MCP client: you don't need the plugin to use Extend; connect directly to https://mcp.extend.ai/mcp (Streamable HTTP + OAuth). See the connection guide for per-client instructions.

Repository layout

Several manifest formats coexist so one repository serves every ecosystem:

Path

Purpose

plugin.json, mcp.json

Agent Plugins standard (any conformant client)

.cursor-plugin/plugin.json

Cursor plugin manifest (marketplace metadata and logo; shares mcp.json)

.claude-plugin/plugin.json, .mcp.json

Claude plugin manifest

gemini-extension.json

Gemini CLI extension manifest

server.json

Official MCP Registry entry (ai.extend/extend)

skills/

Agent Skills shared by every format

assets/

Logo referenced by the manifests

Install

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://mcp.extend.ai/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "extend": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.extend.ai/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

ai.extend/extend

ai.extend/extend (MCP Server)

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

Extend Agent Plugin

Install

Repository layout

Privacy and terms

License

Install

Remote endpoint

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