Comparison
anything-llm vs pdf-reader-mcp
Verdict
Pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments; pick pdf-reader-mcp if pdf-reader-mcp acts as an intelligence layer for PDFs to support AI agents in document handling, offering features like evidence-first extraction and OCR with a focus on accuracy and provenance via the MCP server.
Markdown twin · anything-llm alternatives · pdf-reader-mcp alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | anything-llm | pdf-reader-mcp |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 3w · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
- pdf-reader-mcp
- PDF intelligence layer for AI agents providing features such as evidence-first extraction and OCR
Stars
- anything-llm
- 65k
- pdf-reader-mcp
- 839
Forks
- anything-llm
- 7.1k
- pdf-reader-mcp
- 75
Open issues
- anything-llm
- 319
- pdf-reader-mcp
- 1
Language
- anything-llm
- JavaScript
- pdf-reader-mcp
- TypeScript
Adopt for
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
- pdf-reader-mcp
- pdf-reader-mcp acts as an intelligence layer for PDFs to support AI agents in document handling, offering features like evidence-first extraction and OCR with a focus on accuracy and provenance via the MCP server.
Persona
- anything-llm
- -
- pdf-reader-mcp
- -
Runtime
- anything-llm
- -
- pdf-reader-mcp
- -
License
- anything-llm
- MIT
- pdf-reader-mcp
- MIT
Last pushed
- anything-llm
- Aug 13, 2026
- pdf-reader-mcp
- Jul 26, 2026
Categories
- anything-llm
- AI Agents, Inference & Serving
- pdf-reader-mcp
- AI Agents, Data & Retrieval
Trust and health
Days since push
- anything-llm
- 1d
- pdf-reader-mcp
- 0d
Open issues (now)
- anything-llm
- 319
- pdf-reader-mcp
- 1
Stars delta
- anything-llm
- +1.4k (30d)
- pdf-reader-mcp
- Unknown
Open issues delta
- anything-llm
- +2 (30d)
- pdf-reader-mcp
- Unknown
Full report
- anything-llm
- Trust report
- pdf-reader-mcp
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; pdf-reader-mcp is TypeScript.
- Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm.
- Also covers Inference & Serving.
- When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When NOT to use anything-llm
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
- Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
Choose pdf-reader-mcp if…
- pdf-reader-mcp is primarily TypeScript; anything-llm is JavaScript.
- Tags unique to pdf-reader-mcp: agent-document-twin, ai-tools, document-intelligence, document-processing.
- Also covers Data & Retrieval.
- pdf-reader-mcp ships Docker support for self-hosted deployment.
- pdf-reader-mcp ships an MCP server manifest.
- When working within environments that integrate Claude, Cursor, VS Code, or any other MCP client where precision in extracting visual crops and ensuring provenance through OCR is required.
When NOT to use pdf-reader-mcp
- For situations where you do not require the specific capabilities like evidence-first extraction or trust reporting that distinguish pdf-reader-mcp from other general OCR tools.
- In scenarios where only plain text extraction is needed without advanced features such as document intelligence, visual crops, or PDF to Markdown conversion.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Mintplex-Labs/anything-llm) · observed Aug 15, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Aug 15, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Aug 13, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SylphxAI/pdf-reader-mcp) · observed Jul 27, 2026
- GitHub forks (SylphxAI/pdf-reader-mcp) · observed Jul 27, 2026
- Last push (SylphxAI/pdf-reader-mcp) · observed Jul 26, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Aug 2, 2026
GitHub stars on cards: anything-llm 65k · pdf-reader-mcp 839 (synced Aug 15, 2026).
Common questions
- What is the difference between anything-llm and pdf-reader-mcp?
- anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. pdf-reader-mcp: PDF intelligence layer for AI agents providing features such as evidence-first extraction and OCR. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over pdf-reader-mcp?
- Choose anything-llm over pdf-reader-mcp when anything-llm is primarily JavaScript; pdf-reader-mcp is TypeScript; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
- When should I choose pdf-reader-mcp over anything-llm?
- Choose pdf-reader-mcp over anything-llm when pdf-reader-mcp is primarily TypeScript; anything-llm is JavaScript; Tags unique to pdf-reader-mcp: agent-document-twin, ai-tools, document-intelligence, document-processing; Also covers Data & Retrieval; pdf-reader-mcp ships Docker support for self-hosted deployment; pdf-reader-mcp ships an MCP server manifest; When working within environments that integrate Claude, Cursor, VS Code, or any other MCP client where precision in extracting visual crops and ensuring provenance through OCR is required.
- When should I avoid anything-llm?
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
- When should I avoid pdf-reader-mcp?
- For situations where you do not require the specific capabilities like evidence-first extraction or trust reporting that distinguish pdf-reader-mcp from other general OCR tools. In scenarios where only plain text extraction is needed without advanced features such as document intelligence, visual crops, or PDF to Markdown conversion.
- Is anything-llm or pdf-reader-mcp more popular on GitHub?
- anything-llm has more GitHub stars (64,716 vs 839). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and pdf-reader-mcp open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, pdf-reader-mcp: MIT).
- Where can I find alternatives to anything-llm or pdf-reader-mcp?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and pdf-reader-mcp alternatives (anything-llm markdown twin, pdf-reader-mcp markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, anything-llm or pdf-reader-mcp?
- anything-llm: Very active. pdf-reader-mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for anything-llm and pdf-reader-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; pdf-reader-mcp trust report.