Bring Rss Aggregation
to LlamaIndex
Create your Vinkius account to connect Feedly to LlamaIndex and start using all 12 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Feedly MCP Server?
Connect your Feedly account to any AI agent and take full control of your news consumption and RSS aggregation through natural conversation.
What you can do
- Collection Orchestration — List all your curated collections and feeds to organize your information flow natively
- Stream Intelligence — Retrieve the latest articles from specific feeds or entire categories with full metadata flawlessly
- Read State Management — Mark articles as read or save them for later directly from the cloud without manual UI interaction
- Content Discovery — Search for new RSS feeds and trending topics across the entire Feedly index flawlessly
- Board & Tag Organization — List and query articles from your personal boards and tagged content natively
- User Insights — Access your Feedly profile and subscription metadata through the agent synchronously
How it works
- Subscribe to this server
- Enter your Feedly Developer Access Token
- Start managing your news feed from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Researchers & Analysts — quickly pull the latest industry news and trending topics into your AI-powered research flow
- Content Creators — monitor multiple sources and save inspiration to Feedly boards directly from your chat
- Knowledge Workers — stay updated on curated feeds without leaving your primary productivity workspace
Built-in capabilities (12)
Retrieve articles from a specific board
Get details for a specific article entry
Get current Feedly user profile
Retrieve articles for a specific stream (feed, category, or global)
List all individual feed subscriptions
Retrieve articles associated with a specific tag
List all your Feedly boards (saved for later)
List all your Feedly collections (categories) and feeds
List all your Feedly tags
Mark specific articles as read
Search for new RSS feeds in the Feedly index
Search for trending topics or specific interests
Why LlamaIndex?
LlamaIndex agents combine Feedly tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 Feedly tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Feedly tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Feedly, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Feedly tools were called, what data was returned, and how it influenced the final answer
Feedly in LlamaIndex
Why run Feedly with Vinkius?
The Feedly connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 12 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Feedly using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Feedly and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Feedly to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Feedly for LlamaIndex
Every request between LlamaIndex and Feedly is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I obtain a Feedly Developer Token?
Log in to your Feedly account and navigate to the Settings > Developer page to generate a personal access token for prototyping and individual use.
Can I mark articles as read using this agent?
Yes! Use the mark_as_read tool with the entry IDs of the articles you wish to clear from your unread stream.
Is it possible to search for new feeds through the agent?
Absolutely. The search_feeds tool allows you to search the Feedly global index for specific topics or site URLs to add to your collections.
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 Feedly 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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