PDF To Text

Extracts PDF text locally, with macOS PDFKit and Vision OCR fallbacks and optional AI retry.

What does this entry provide?

PDF To Text is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding PDF To Text to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 78/100
Install method: npm
Repo: Jim-Panse/PDF-to-TXT-MCP
Repo updated: Oct 15, 2026

Install command

npx -y @jim-panse/pdf-to-text-mcp@0.7.0

Install method: npm

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Oct 15, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

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

Report an issue with this listing