4,000+ servers built on MCP Fusion
Vinkius
LangChainFramework
Why use Feedly MCP Server with LangChain?

Bring Rss Aggregation
to LangChain

Create your Vinkius account to connect Feedly to LangChain 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.

MCP Inspector GDPR Free for Subscribers
Get Board ContentsGet EntryGet ProfileGet Stream ContentsGet SubscriptionsGet Tag ContentsList BoardsList CollectionsList TagsMark As ReadSearch FeedsSearch Topics
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Feedly

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

  1. Subscribe to this server
  2. Enter your Feedly Developer Access Token
  3. 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)

get_board_contents

Retrieve articles from a specific board

get_entry

Get details for a specific article entry

get_profile

Get current Feedly user profile

get_stream_contents

Retrieve articles for a specific stream (feed, category, or global)

get_subscriptions

List all individual feed subscriptions

get_tag_contents

Retrieve articles associated with a specific tag

list_boards

List all your Feedly boards (saved for later)

list_collections

List all your Feedly collections (categories) and feeds

list_tags

List all your Feedly tags

mark_as_read

Mark specific articles as read

search_feeds

Search for new RSS feeds in the Feedly index

search_topics

Search for trending topics or specific interests

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Feedly through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • The largest ecosystem of integrations, chains, and agents. combine Feedly MCP tools with 500+ LangChain components

  • Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

  • LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

  • Memory and conversation persistence let agents maintain context across Feedly queries for multi-turn workflows

See it in action

Feedly in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

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.

View full Feedly details →
Feedly
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* 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

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

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.

Why Vinkius

Feedly and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Feedly to LangChain 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.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Feedly for LangChain

Every request between LangChain 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.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Explore More MCP Servers

View all →