Compatible with every major AI agent and IDE
What is the SaveDay MCP Server?
Connect your SaveDay account to any AI agent to seamlessly capture and retrieve information. SaveDay acts as your second brain, allowing you to store web content, notes, and images, and then query them using natural language.
What you can do
- Content Capture — Instantly save URLs, text snippets, or images with custom titles and tags using the
capture_contenttool. - Smart Search — Query your saved items using natural language with
search_itemsto find exactly what you need without manual sorting. - AI Summarization — Use
get_summaryto generate concise summaries of your saved content to grasp key points quickly. - Tag Management — List and organize your knowledge base using the
list_tagstool for better categorization.
How it works
- Subscribe to this server
- Enter your SaveDay API Key
- Start capturing and searching your knowledge base from Claude, Cursor, or any MCP-compatible client.
Built-in capabilities (4)
Type must be url, text, or image. Capture a URL, text, or image to SaveDay
Retrieve an AI-generated summary for a specific saved item
Retrieve a list of all tags used in the SaveDay account
Search through saved items
Why LlamaIndex?
LlamaIndex agents combine SaveDay tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine SaveDay tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain SaveDay tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query SaveDay, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what SaveDay tools were called, what data was returned, and how it influenced the final answer
SaveDay in LlamaIndex
SaveDay and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SaveDay to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for SaveDay in LlamaIndex
The SaveDay MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
SaveDay for LlamaIndex
Every tool call from LlamaIndex to the SaveDay MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search my saved items using natural language?
Yes! Use the search_items tool with your query. The AI will search through your saved content to find the most relevant items based on your keywords or natural language description.
How do I get a quick overview of a long article I saved?
You can use the get_summary tool by providing the unique ID of the saved item. SaveDay will return an AI-generated summary highlighting the most important information.
What types of content can I save to SaveDay?
The capture_content tool supports three types: 'url' for websites, 'text' for snippets or notes, and 'image' for base64 encoded images. You can also optionally provide a title and tags.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query SaveDay tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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