Personal knowledge base · MCP · Agentic Context

Your saved materials, put to work. For you and your AI agents.

Save links, articles, documents, images, audio and video to SilvaLabs. Get the text out of every item, plus AI summaries and key points when you need them. Organize your library, ask questions across your saved sources, and connect agent-visible materials via MCP (Pro).

input Link or file — one input folder_special Folders and tags to stay organized verified Ask and MCP on Pro
Real UI
SilvaLabs
☆ Trial 2d 22h 53m 25s
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Library

Bookmarks and extracted text. Search the list or organize with folders.

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All Article Media Document Image
Saved period Day Week Month All
sell Tags
language

Creative Commons - Wikipedia

Article · en.wikipedia.org · Oct 7, 2026, 7:11 PM
Learning the meaning
Use cases

One library. Many ways to put knowledge to work.

SilvaLabs serves researchers, analysts and writers who need to collect scattered materials, strip away visual noise and build a structured personal knowledge base. It is just as much a tool for developers and engineers: it turns saved documentation, RFCs and scripts into reliable external context that AI agents and your IDE can safely access via MCP.

menu_bookFor researchers and analystsResearch Focus

Collect sources on a topic and come back to them through reading, key points and questions

Build topic folders without the noise. Extract text from web pages, PDFs, photo scans, voice notes and video.

  • check_circleSave articles, documents, images and audio/video in their original form.
  • check_circleAutomatic text extraction and accurate speech transcription (Whisper).
  • check_circleSummaries and key points on demand, with no wasted credits.
  • check_circleAsk questions about a folder or your whole library (Ask, Pro) with links to the exact cards.
folderFolder: “Market research”3 documents
Demo example
psychology
What approaches to organizing knowledge do these materials describe?send

Your materials highlight two key approaches:

1. Layered indexing: capture clean HTML/PDF first, then normalize it into Markdown.
2. Agentic RAG: index only the cards with the access flag enabled, not the whole corpus.
terminalFor developers and AI agentsMCP Integration

Prepare external context and give your agent access to selected materials

Save documentation, RFCs, code samples and scripts to SilvaLabs. On Pro, materials marked as agent-visible can be searched and read from Cursor via MCP, and scripts can be handed to agents to run. No more copy-pasting context into chat.

  • check_circleClean, normalized Markdown with no scripts or heavy wrappers.
  • check_circleProtection against running unreviewed code: saved scripts or instructions are never executed automatically — each step requires explicit confirmation (runbook).
  • check_circleAn “Agent visible” toggle on every card gives you full privacy control.
  • check_circleRevoke a key instantly in one click if it ever leaks.
Pipeline: SilvaLabs → MCP → AI agent
MCP: connected
language
Creative Commons - Wikipedia
Article · en.wikipedia.org · tag: Learning the meaning
terminal Cursor Composer Agent mcp://silvalabs
> Calling tool: silvalabs_search_context(query="Creative Commons founder and license model")
check Found card “Creative Commons - Wikipedia” (Lawrence Lessig, 501(c)(3), CC licenses)

API keys and agent features are available on Pro. Setup follows a short guide.

Pipeline

From a link or file to material you can actually work with

Three transparent steps turn unstructured web pages and media files into organized digital memory.

1

Inbox: one place to capture

Paste a link or drop a file. Switch between a quick bookmark and full text capture, and add AI processing if you like.

Bookmark Fetch content
☆ Via AI
Link or attach a photo / scan... content_paste description + Add
+ Note
2

Transparent processing

Live task status in real time: type detection, preview generation and clean Markdown extraction, with no hidden delays.

ACTIVE TASKS (1) close
https://en.wikipedia.org/wiki/Creative_Commons
en.wikipedia.org
25%
✓ Reading preview
2 Extracting text
↻ Current step: Reading preview
3

A ready knowledge base

Read structured Markdown, run AI optimization (summary, key points, AI MD) and connect cards to Cursor via MCP.

Creative Commons - Wikipedia Ready
Text Summary Key points AI MD
- **Founded**: January 15, 2001 · 501(c)(3)

* Full capture availability depends on the source, the content type and your plan limits.

Universal inbox

Many sources, one library

No upfront sorting. One smart stream for everything you bring in.

all_inbox

Links and files

Add materials through a single field — no need to pick a category. Drag in files, save links without duplicates and attach your own note to each item.

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“Bookmark” vs “Fetch content”

Save a quick bookmark with a preview, title and favicon, or capture the full text. You can upgrade any bookmark to full content later with “Fetch full text”.

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Processing by content type

Articles are stripped of clutter and turned into readable text. Documents have their text extracted, and scanned pages are recognized within your plan limits. Audio and video become text transcripts.

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Browser bookmarklet

The bookmarklet opens a save popup right on top of any page. Drag it to your bookmarks bar once.

* A bookmarklet is not a browser extension and needs no extra permissions
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Clear processing in Inbox

You always see what is happening to an item: live statuses (“Detecting type”, “Reading preview”, “Transcribing speech”), plain-language hints when a page is unavailable, and an instant Retry button.

Type detection arrow_forward Content capture arrow_forward ✓ Clean Markdown
Knowledge catalog

Don't just save — come back to your materials

Bookmark chaos is a thing of the past. SilvaLabs is designed so you can easily find your way around hundreds of saved articles and notes.

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Folders and tags

Create and rename folders, drag cards around, filter by date and content type. Give items your own titles without losing the original metadata.

search

Fast card search

Instant search by title, URL and your personal note. * The search bar works on metadata. For full-text search and analysis, use Ask on Pro.

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Reader and Markdown download

Comfortable reading right in the app, media previews, a floating reader window and one-click Markdown copy.

All types Articles PDF documents Video & Audio
Folder: System architecture

Inside vector databases

Personal note: Look into the HNSW algorithm for our upcoming context index.
#database #vector-search
preview Reader text preview 1,420 words
# HNSW: Hierarchical Navigable Small World Graphs¶ Graph structures provide logarithmic nearest-neighbor search complexity while keeping recall high...
Control and cost

Use AI only where you actually need it

You control credit spending: expensive AI models run only when you ask, not automatically on every action.

tune AI actions on a card
Balance: 500 cr.

Click an operation to run an analysis layer on demand. The credit cost depends on the length of the source text and is charged only when something is generated:

Normalization

Cleans up Markdown and structures headings and tables.

Summary

A concise summary you can read in 30 seconds.

Key points

Key arguments and facts as bullet points.

AI MD

A full analytical rewrite, ready to feed to agents.

info When saving an item, check “Via AI” to get everything at once on upload.

Basic capture is free.
AI runs only when you click.

We value predictable costs. Saving bookmarks, text parsing and OCR of scans all run within your plan quotas and never use AI credits.

verified_user Zero background spending

The AI model does not run until you click summary or normalization. No surprise charges for forgotten tabs.

savings Transparent credits

Credits are spent only on heavy LLM transformations of a specific card. A starter credit pack is added as soon as you create an account.

verified Pro feature

Ask: question what you've already saved

Ask questions across your whole library or narrow the context to a single folder. Ask builds its answer only from your saved materials, with precise links to the sources.

chat Chat with your library
“What do the materials in my ‘Research’ folder say about choosing sources?” send

Based on 3 saved materials in the “Research” folder, these selection criteria stand out:

Answer sources: Card #42: Methodology Card #49: Report 2026
bolt Up to 1,000 questions a month

Ask is included in Pro. Ask queries don't use the AI credits reserved for card summaries and key points, so you can talk to your materials without watching your balance.

target Precise citations, no hallucinations

The model doesn't make things up from the internet. If your materials don't contain the answer, Ask will tell you so.

hub Model Context Protocol

Give your agent the context it needs

Use personal API keys and the MCP server so Cursor, Claude Desktop or local agents can work with your library directly.

Card context control MCP Ready
Docs: API authentication

Allow connected AI agents to read this card via MCP

Cursor IDE / agent config: ~/.cursor/mcp.json ✓ Connected
{
  "mcpServers": {
    "silvalabs": {
      "url": "https://mcp.silvalabs.app/mcp",
      "headers": {
        "Authorization": "Bearer sl_YOUR_KEY"
      }
    }
  }
}

Full security control

You decide at any time which materials the agent sees and which stay strictly private.

key
Safe read-only access

Keys work in read and search mode (knowledge:read). Adding materials via the API (ingest:write) is in development.

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Instant key revocation

Revoke a leaked or unused key in one click — the agent loses access immediately.

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Access only to marked cards

The agent sees only materials with “Agent visible” turned on. The rest of your library stays private.

Plans

Start with a trial. Move to Pro when you need it.

Clear terms, no hidden charges or forced subscriptions.

sync_alt How SilvaLabs plans work
1
Sign up

Instant start, no card required

2
3 days of Pro (Trial)

Full access + 500 credits

3
Free forever

Automatically after the trial ends

4
Upgrade to Pro

On request, when you need it

Everyone starts here
Trial ☆ 3 days free

Every new account gets 3 days of full Pro access, no bank card required, to explore everything.

$0/ 3 days
* No card, no subscription
  • check_circle Full access to every Pro feature for 3 days
  • check_circle Starting balance: 500 credits (⭐) for AI actions
  • check_circle Try Ask (up to 50 questions to your library)
  • check_circle Connect Cursor via MCP and API keys
  • check_circle Automatic switch to Free with no charges or data loss
Free After the trial

Free forever for saving links, reading and basic organization. Turns on automatically when the trial ends.

$0forever
Basic mode
  • check Save links and files within plan quotas
  • check Basic clean text extraction
  • check Tags and up to 3 folders
  • check Copy and download Markdown
  • check AI processing with your remaining credits
Pro For researchers and agents

For everyday library work, unlimited folders, in-depth Ask questions and an always-on Cursor connection via MCP.

$6.99/ month
* Online payment is not available yet
  • check_circle Higher file processing and storage quotas
  • check_circle Unlimited folders — no count limit
  • check_circle Content indexing for deep search
  • check_circle Up to 1,000 Ask questions a month (no credits used)
  • check_circle Personal API keys and ongoing MCP access
  • check_circle Control the “Agent visible” flag on cards

Transparent quotas and credits

Reading articles and recognizing documents are covered by plan quotas. Credits are charged only for specialized LLM transformations of cards (summary, key points, normalization).

Help

Frequently asked questions

Detailed answers to technical and practical questions about SilvaLabs.

local_library

Build a library worth coming back to

Start with an article, a document or a recording. Save it, get clean text and organize it for your everyday work and your AI agents.

Questions about the product, or a use case to share? Write to the team directly: publiccontactbox@gmail.com