Pdf MCP
MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: agentic RAG with hybrid semantic + keyword search, selective page reads, tables, images, OCR, chart data, and multi-column/CJK layouts.
Is Pdf MCP safe? Promising trust profile, but some evidence still deserves review.
Compare Pdf MCP
How does it stack up against its MCP Servers neighbours?
- Better Telegram MCP +0.1 higher
- Fr0ster MCP Abap Adt +0.1 higher
- Webcomponents MCP Server same score
In detail: Pdf MCP scores 67.2/100 (Grade B), ranked #396 of 1325 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 6.4/10; 11% of recent commits are signed; last pushed 2026-09-26. Every point is earned from checkable signals — never paid placement. How scoring works →
How Pdf MCP compares in MCP Servers
- #233 Better Telegram MCP 67.3 +0.1
- #234 Fr0ster MCP Abap Adt 67.3 +0.1
- #235 Pdf MCP 67.2 this agent
- #236 Webcomponents MCP Server 67.2 ±0
- #237 Codex Control Plane MCP 67.2 ±0
Bars show each HVTrust score; the tick marks Pdf MCP’s 67.2.
Where the 67.2 comes from
HVTrust dimensions vs the MCP Servers average
67.2 / 100 · 100.0% confidencePdf MCP MCP Servers average (775 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
68.4 / 100Supply Chain Trust
Common questions about Pdf MCP
Does Pdf MCP publish package provenance?
Does Pdf MCP have an OpenSSF Scorecard?
Is Pdf MCP actively maintained?
What license does Pdf MCP use?
Are Pdf MCP's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- browser
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Pdf MCP's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain Pdf MCP?
For maintainers
HVTrust scores Pdf MCP from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/pdf-mcp)
<a href="https://hvtracker.net/agents/pdf-mcp"><img src="https://hvtracker.net/badge/pdf-mcp.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON