---
title: "mcp-local-rag vs Chat-with-Scanned-Documents"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/shinpr-mcp-local-rag-vs-tony-xlh-chat-with-scanned-documents"
tools: ["shinpr-mcp-local-rag", "tony-xlh-chat-with-scanned-documents"]
---

# mcp-local-rag vs Chat-with-Scanned-Documents

*GraphCanon updated Aug 23, 2026*

## Verdict

Pick mcp-local-rag if mcp-local-rag is designed for developers who prioritize privacy and ease of setup when performing semantic and keyword searches on local codebases and technical documents through MCP or CLI integration; pick Chat-with-Scanned-Documents if leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality.

[mcp-local-rag](https://github.com/shinpr/mcp-local-rag) reports 370 GitHub stars, 68 forks, and 2 open issues, last pushed Aug 23, 2026. [Chat-with-Scanned-Documents](https://github.com/tony-xlh/Chat-with-Scanned-Documents) has 6 stars, 3 forks, and 0 open issues, last pushed May 25, 2023. Figures are from public GitHub metadata via [mcp-local-rag's repository](https://github.com/shinpr/mcp-local-rag) and [Chat-with-Scanned-Documents's repository](https://github.com/tony-xlh/Chat-with-Scanned-Documents).

| | [mcp-local-rag](/tools/shinpr-mcp-local-rag.md) | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) |
| --- | --- | --- |
| Tagline | Local-first RAG server for developers with semantic and keyword search capabilities. | A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js |
| Stars | 370 | 6 |
| Forks | 68 | 3 |
| Open issues | 2 | 0 |
| Language | TypeScript | JavaScript |
| Adopt for | mcp-local-rag is designed for developers who prioritize privacy and ease of setup when performing semantic and keyword searches on local codebases and technical documents through MCP or CLI integration. | Leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [mcp-local-rag](/tools/shinpr-mcp-local-rag.md) | [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 1178d |
| Open issues (now) | 2 | 0 |
| Stars delta | +18 (30d) | 0 (30d) |
| Open issues delta | -2 (30d) | 0 (30d) |
| Full report | [trust report](/tools/shinpr-mcp-local-rag/trust.md) | [trust report](/tools/tony-xlh-chat-with-scanned-documents/trust.md) |

## Shared compatibility

- **Node.js**: [mcp-local-rag](/tools/shinpr-mcp-local-rag.md) - Node.js runtime; [Chat-with-Scanned-Documents](/tools/tony-xlh-chat-with-scanned-documents.md) - Node.js runtime

## Decision facts: mcp-local-rag

- **Adopt for:** mcp-local-rag is designed for developers who prioritize privacy and ease of setup when performing semantic and keyword searches on local codebases and technical documents through MCP or CLI integration.

## Decision facts: Chat-with-Scanned-Documents

- **Adopt for:** Leverages Dynamic Web TWAIN for scanning and Tesseract.js for text extraction, integrating LangChain for chat functionality.

## Choose when

### Choose mcp-local-rag if…

- mcp-local-rag is primarily TypeScript; Chat-with-Scanned-Documents is JavaScript.
- Tags unique to mcp-local-rag: agent-skills, hybrid-search, local-first, privacy-first.
- mcp-local-rag ships an MCP server manifest.
- When you need to perform both semantic and keyword-based search operations within a local, privacy-focused environment tailored specifically for handling codebases and technical documentation.

### Choose Chat-with-Scanned-Documents if…

- Chat-with-Scanned-Documents is primarily JavaScript; mcp-local-rag is TypeScript.
- Tags unique to Chat-with-Scanned-Documents: document scanning, dynamic web twain, langchain, ocr.
- Need to interact with content from scanned documents

## When NOT to use mcp-local-rag

- When you do not require a privacy-first approach and are willing to rely on cloud-based solutions that might offer more extensive feature sets beyond just keyword and semantic searches.
- If your use case involves scaling search capabilities across multiple remote databases or servers, as mcp-local-rag is best suited for local data only.

## When NOT to use Chat-with-Scanned-Documents

- Situations demanding real-time, high-volume document scanning and processing
- Applications requiring more advanced AI chat capabilities beyond LangChain

## Common questions

### What is the difference between mcp-local-rag and Chat-with-Scanned-Documents?

mcp-local-rag: Local-first RAG server for developers with semantic and keyword search capabilities.. Chat-with-Scanned-Documents: A demo chatting with documents scanned using Dynamic Web TWAIN and Tesseract.js. See the comparison table for live GitHub stats and shared categories.

### When should I choose mcp-local-rag over Chat-with-Scanned-Documents?

Choose mcp-local-rag over Chat-with-Scanned-Documents when mcp-local-rag is primarily TypeScript; Chat-with-Scanned-Documents is JavaScript; Tags unique to mcp-local-rag: agent-skills, hybrid-search, local-first, privacy-first; mcp-local-rag ships an MCP server manifest; When you need to perform both semantic and keyword-based search operations within a local, privacy-focused environment tailored specifically for handling codebases and technical documentation.

### When should I choose Chat-with-Scanned-Documents over mcp-local-rag?

Choose Chat-with-Scanned-Documents over mcp-local-rag when Chat-with-Scanned-Documents is primarily JavaScript; mcp-local-rag is TypeScript; Tags unique to Chat-with-Scanned-Documents: document scanning, dynamic web twain, langchain, ocr; Need to interact with content from scanned documents.

### When should I avoid mcp-local-rag?

When you do not require a privacy-first approach and are willing to rely on cloud-based solutions that might offer more extensive feature sets beyond just keyword and semantic searches. If your use case involves scaling search capabilities across multiple remote databases or servers, as mcp-local-rag is best suited for local data only.

### When should I avoid Chat-with-Scanned-Documents?

Situations demanding real-time, high-volume document scanning and processing Applications requiring more advanced AI chat capabilities beyond LangChain

### Is mcp-local-rag or Chat-with-Scanned-Documents more popular on GitHub?

mcp-local-rag has more GitHub stars (370 vs 6). Stars measure visibility, not whether either tool fits your constraints.

### Are mcp-local-rag and Chat-with-Scanned-Documents open source?

Yes - both are open-source projects on GitHub (mcp-local-rag: MIT, Chat-with-Scanned-Documents: MIT).

### Where can I find alternatives to mcp-local-rag or Chat-with-Scanned-Documents?

GraphCanon lists graph-backed alternatives at [mcp-local-rag alternatives](/tools/shinpr-mcp-local-rag/alternatives) and [Chat-with-Scanned-Documents alternatives](/tools/tony-xlh-chat-with-scanned-documents/alternatives) ([mcp-local-rag markdown twin](/tools/shinpr-mcp-local-rag/alternatives.md), [Chat-with-Scanned-Documents markdown twin](/tools/tony-xlh-chat-with-scanned-documents/alternatives.md)), 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](/compare/shinpr-mcp-local-rag-vs-tony-xlh-chat-with-scanned-documents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, mcp-local-rag or Chat-with-Scanned-Documents?

mcp-local-rag: Very active. Chat-with-Scanned-Documents: Dormant. 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 mcp-local-rag and Chat-with-Scanned-Documents?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mcp-local-rag trust report](/tools/shinpr-mcp-local-rag/trust); [Chat-with-Scanned-Documents trust report](/tools/tony-xlh-chat-with-scanned-documents/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=shinpr-mcp-local-rag`](/api/graphcanon/graph?tool=shinpr-mcp-local-rag)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
