PDF Text Extractor for AI Agents MCP Server

by industrial-platform-ai Your server? Claim it

answering

PDF Text Extractor for AI Agents is answering right now. Last checked 12 min ago. It exposes 5 tools. Last commit 8 Oct 2026.

x402 PDF text, pages, and metadata for AI/RAG. $0.0015 per successful PDF.

Uptime history 12 days of history · worst day 99%

12 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

461 ms

Response time

average over 24h

Stars

last commit 8 Oct 2026

What changed 4

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 1 October 2026. No other catalogue keeps this.

8 Oct a tool changed version

7 Oct a tool changed version

5 Oct a tool changed version

1 Oct a tool changed version

PDF Text Extractor for AI Agents missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add pdf-text --transport http https://mcp.apify.com?tools=industrial_platform/pdf-text-intelligence&payment=x402

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "pdf-text": {
      "url": "https://mcp.apify.com?tools=industrial_platform/pdf-text-intelligence\u0026payment=x402"
    }
  }
}

~/.codex/config.toml

[mcp_servers.pdf-text]
url = "https://mcp.apify.com?tools=industrial_platform/pdf-text-intelligence&payment=x402"

.cursor/mcp.json

{
  "mcpServers": {
    "pdf-text": {
      "url": "https://mcp.apify.com?tools=industrial_platform/pdf-text-intelligence\u0026payment=x402"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "pdf-text": {
      "url": "https://mcp.apify.com?tools=industrial_platform/pdf-text-intelligence\u0026payment=x402"
    }
  }
}

Available tools 5

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

abort

abort-actor-run

Abort an Actor run that is currently starting or running. For runs with status SUCCEEDED, FAILED, ABORTING, ABORTED, or TIMED-OUT, this call has no effect. The results will include the updated run details after the abort request. USAGE: - Use when you need to stop a run that is taking too long or misconfigured. USAGE EXAMPLES: - user_input: Abort run y2h7sK3Wc - user_input: Gracefully abort run y2h7sK3Wc This tool requires an x402 payment. Include a valid x402 payment signature in the request metadata (_meta["x402/payment"]). Your MCP client must support the x402 payment protocol.

actor

get-actor-run

Get detailed information about a specific Actor run. Returns run result: status, storages (datasets/keyValueStores alias map), stats, summary, nextStep. - summary describes the past (e.g. "SUCCEEDED in 22s. 47 items; 3 fields available."). - nextStep prescribes one primary follow-up action with identifiers interpolated (e.g. "Use get-dataset-items with datasetId=..."). - waitSecs (0–45, default 30) waits up to that many seconds for terminal status before returning. USAGE: - Use to check the status of a run started by any Actor-running tool. - Pass waitSecs > 0 to block until terminal (or until the cap elapses). USAGE EXAMPLES: - user_input: Show details of run y2h7sK3Wc - user_input: Wait for run y2h7sK3Wc to finish This tool requires an x402 payment. Include a valid x402 payment signature in the request metadata (_meta["x402/payment"]). Your MCP client must support the x402 payment protocol.

dataset

get-dataset-items

Get items (rows) from a dataset — the output/results produced by an Actor run. Returns the rows themselves, not dataset metadata, counts, or a schema. When the user provides a datasetId and asks to retrieve results, output, data, or rows, call this tool directly. Default limit is 20. Use clean=true to skip empty items and hidden fields. USAGE: - Use when you need to read data from a dataset (all items or only selected fields). USAGE EXAMPLES: - user_input: Retrieve results from dataset abc123 - user_input: Get only metadata.url and title from dataset username~my-dataset This tool requires an x402 payment. Include a valid x402 payment signature in the request metadata (_meta["x402/payment"]). Your MCP client must support the x402 payment protocol.

industrial

industrial_platform--pdf-text-intelligence

This tool calls the Actor "industrial_platform/pdf-text-intelligence" and retrieves its output results. Actor description: Extract embedded PDF text, pages and metadata. Price: $0.0015 per successful PDF. This tool requires an x402 payment. Include a valid x402 payment signature in the request metadata (_meta["x402/payment"]). Your MCP client must support the x402 payment protocol.

key

get-key-value-store-record

Get the value stored under a specific key in a key-value store — a single record, not a listing of all keys. Requires the exact key name. The response preserves the original Content-Encoding; most clients handle decompression automatically. USAGE: - Use when you need to retrieve a specific record (JSON, text, or binary) from a store. USAGE EXAMPLES: - user_input: Get record INPUT from store abc123 - user_input: Get record data.json from store username~my-store This tool requires an x402 payment. Include a valid x402 payment signature in the request metadata (_meta["x402/payment"]). Your MCP client must support the x402 payment protocol.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.apify.com?tools=industrial_platform/pdf-text-intelligence&payment=x402	streamable-http	answering	401 ms	12 min ago

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PDF Text Extractor for AI Agents — questions

Answers built from our own checks of this server.

What can PDF Text Extractor for AI Agents do?

It exposes 5 tools, read directly from the server on our last check. Among them: abort-actor-run, get-actor-run, get-dataset-items, get-key-value-store-record, industrial_platform--pdf-text-intelligence. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is PDF Text Extractor for AI Agents working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 461 ms. The bar chart above shows every period we have measured.

How do I connect PDF Text Extractor for AI Agents?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does PDF Text Extractor for AI Agents need an API key?

No. PDF Text Extractor for AI Agents completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is PDF Text Extractor for AI Agents?

It answers our handshake in 461 ms on average, which is faster than 29% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is PDF Text Extractor for AI Agents open source?

Yes — it is published under the MIT licence, written in JavaScript, 0 stars on GitHub and 8 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.