Pdf (rsp2k) MCP Server
mcp-pdf
PyPI
v2.3.0
Published by rsp2k — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Secure FastMCP server for comprehensive PDF processing - text extraction, OCR, table extraction, forms, annotations, and more
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 1 = 99. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
Tools 39
Each tool and what it can reach — statically extracted from the published source.
add_date_fieldno sensitive capabilityadd_field_validationno sensitive capabilityadd_form_fieldsno sensitive capabilityadd_highlightsno sensitive capabilityadd_radio_groupno sensitive capabilityadd_sticky_notesno sensitive capabilityadd_textarea_fieldno sensitive capabilityadd_video_notesno sensitive capabilityanalyze_layoutno sensitive capabilityanalyze_pdf_healthno sensitive capability
Show 29 more tools ↓
analyze_pdf_securityno sensitive capabilityclassify_contentno sensitive capabilitycompare_pdfsno sensitive capabilityconvert_to_imagesno sensitive capabilitycreate_form_pdfno sensitive capabilitydetect_watermarksno sensitive capabilityextract_chartsno sensitive capabilityextract_form_datano sensitive capabilityextract_imagesno sensitive capabilityextract_linksno sensitive capabilityextract_metadatano sensitive capabilityextract_tablesno sensitive capabilityextract_textno sensitive capabilityfill_form_pdfno sensitive capabilityget_document_structureno sensitive capabilityis_scanned_pdfno sensitive capabilitymerge_pdfsno sensitive capabilitymerge_pdfs_advancedno sensitive capabilityocr_pdfno sensitive capabilityoptimize_pdfno sensitive capabilitypdf_to_markdownno sensitive capabilityreorder_pdf_pagesno sensitive capabilityrepair_pdfno sensitive capabilityrotate_pagesno sensitive capabilitysplit_pdfno sensitive capabilitysplit_pdf_by_bookmarksno sensitive capabilitysplit_pdf_by_pagesno sensitive capabilitysummarize_contentno sensitive capabilityvalidate_form_datano sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (39 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v2.3.0 latest |
A 99/100 | 0 | 1.13.0 | 2026-08-25 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan mcp-pdf --online --registry pypiOther implementations of Pdf 9
Independent packages implementing the same tool, scanned with the same engine. Compare all 10 side by side →
MCP server for creative PDF generation with full emoji, Unicode, and offline support
A MCP server for removing pages from PDFs
Model Context Protocol (MCP) server for PDF text extraction operations
MCP server for PDF extraction
Model Context Protocol PDF service implemented in Python
Surgical PDF access for AI agents: keyword, semantic & hybrid search; structured extraction of text, tables, images & TOC; OCR; and CJK/vertical-script support — with SQLite caching.
More in Other
A Model Context Protocol server implementation for AdGuard Home that enables AI agents to query and manage DNS records, filtering rules and more
Identity oracle and trust layer for autonomous AI agents. Bidirectional KYA and trust scoring.
MCP server with Airtable integration
A free one-minute reset for people, delivered by AI, with no account or personal data.
Access SEC filings efficiently, save time and tokens, and get cited answers.
A smart [MCP](https://modelcontextprotocol.io) server for [AniList](https://anilist.co) that gets your anime/manga taste - not just API calls.