addrbookFor publishers
← The evidence ledger

Evidence row 28886

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.Jim-Panse/pdf-to-text
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
2821315a45a1f632b7ecec3208bb8b3d9c88d347370a7bd5ba9056eed1d95a09
Leaf
0xb21562794298b692261d82811aee500d42336bfbf9f62caf2da5c6715940504b

What was observed

{
  "endpoints": [],
  "name": "PDF To Text",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-15T12:15:52.697115Z",
        "status": "active",
        "statusChangedAt": "2026-10-15T12:15:52.697115Z",
        "updatedAt": "2026-10-15T12:15:52.697115Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Extracts PDF text locally, with macOS PDFKit and Vision OCR fallbacks and optional AI retry.",
      "name": "io.github.Jim-Panse/pdf-to-text",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "Required existing directory that defines the root-relative filesystem namespace for PDF input and derived text output.",
              "isRequired": true,
              "name": "PDF_TO_TEXT_MCP_ROOT"
            },
            {
              "description": "Optional secret. Enables one AI extraction retry when local extraction is inadequate; omit for local-only operation.",
              "isSecret": true,
              "name": "OPENAI_API_KEY"
            },
            {
              "description": "Optional OpenAI model used only for AI retry. Defaults to gpt-5.4-mini.",
              "name": "OPENAI_MODEL",
              "placeholder": "gpt-5.4-mini"
            },
            {
              "default": "32000",
              "description": "Optional cap for all AI-generated output tokens, including non-visible reasoning tokens. Integer minimum 800; defaults to 32000.",
              "name": "AI_MAX_OUTPUT_TOKENS",
              "placeholder": "32000"
            },
            {
              "description": "Integer concurrency limit from 1 to 32. Defaults to min(os.availableParallelism(), 4).",
              "name": "MAX_PARALLEL_EXTRACTIONS"
            },
            {
              "default": "10",
              "description": "Integer maximum waiting requests from 0 to 100; zero disables waiting.",
              "name": "EXTRACTION_QUEUE_CAPACITY"
            },
            {
              "default": "60000",
              "description": "Maximum queue wait in milliseconds, integer 1 through 2147483647. Does not limit active work.",
              "name": "EXTRACTION_QUEUE_WAIT_MS"
            },
            {
              "choices": [
                "false",
                "true"
              ],
              "default": "false",
              "description": "Optionally save successful extraction text beside the source PDF.",
              "format": "boolean",
              "name": "WRITE_TEXT"
            }
          ],
          "identifier": "@jim-panse/pdf-to-text-mcp",
          "registryBaseUrl": "https://registry.npmjs.org",
          "registryType": "npm",
          "transport": {
            "type": "stdio"
          },
          "version": "0.7.0"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/Jim-Panse/PDF-to-TXT-MCP"
      },
      "title": "PDF To Text",
      "version": "0.7.0"
    }
  },
  "source": "mcp_registry",
  "summary": "Extracts PDF text locally, with macOS PDFKit and Vision OCR fallbacks and optional AI retry."
}

What the leaf hashes

{"body":"2821315a45a1f632b7ecec3208bb8b3d9c88d347370a7bd5ba9056eed1d95a09","id":28886,"kind":"listing","method":"baseline/1","observed_us":1793025360306976,"prev":null,"subject":"mcp_registry:io.github.Jim-Panse/pdf-to-text","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xb215735c71c65acb438e8fc161f0aa9e47ff3ee895a98ed6cbfff285f30825b5
  2. 0x82e0176721fddab5226fd01185c73254b710d891ba64c7ea46b120b6fa909aaf
  3. 0x4404e3dbd4475315d8dc9a4e3744bf99684c698d8a6ba4501cfd4b3aa75ed3fb
  4. 0xc557f179172d8561d61d7722bca06b687f0a05495ad48659194f910fb2096a81
  5. 0xc05f0da0e0df3671a86715c60d25a543a218479ca958fddf19e52fe4732eeef4
  6. 0xeeeca20da04f2707c26b4a666f01649efd64e9a0768e3f369ff3b5acbd9b764b
  7. 0xbfb6f62003203385075b1ec5fb658ee9f44373859d37280269b0fb283efef184
  8. 0x3c1b2957a9ad81996f8791fd3a623047df86aa6412f43e42db7f17644caf6620
  9. 0xbb48c7f54a52441a7938687b3d49edf7056fa8a3386661ae7eca7e2c48ad9b20
  10. 0xd373f611cc8d60491990c0729396ae5185b763a50d0fff3be7937919e843df36
  11. 0xb673e7e79847b2398685ec91a7c3b2395fccef249a8f8983b5eecc97a794a3ec
  12. 0xce1aeb889b974291cea1fbfd01595655bd2c1b3636dc5b56eeb8904adb9f6c65
  13. 0x3b1c0e225d1b1cb24cd5d5ea4af2de20ed68a1eaf8b61924ed1b81e4b9cf7e39
  14. 0x083427e39db4dd470662401f6db5db8fadf084fc4274cf8621b368416952b78b
  15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON