Compatible with every major AI agent and IDE
What is the Miniflux (RSS Reader) MCP Server?
Connect your Miniflux instance to any AI agent and transform how you consume information. Manage your RSS feeds, read articles, and organize your knowledge base through natural conversation.
What you can do
- Feed Discovery & Management — Discover RSS feeds from any URL and manage your subscriptions effortlessly with tools like
discover_subscriptionsandcreate_feed. - Article Reading — List entries, fetch full content, and mark items as read or unread using
list_entriesandfetch_entry_content. - Organization — Categorize feeds and use bookmarks to save important information with
list_categoriesandtoggle_entry_bookmark. - System Control — Export/Import OPML files and manage your user profile and API keys directly.
How it works
- Subscribe to this server
- Enter your Miniflux Instance URL and API Key
- Start reading and managing your news from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Researchers — aggregate sources and query specific topics across all subscriptions without leaving your research environment.
- Developers — stay updated with technical blogs and releases directly from your IDE.
- Content Curators — quickly filter, search, and bookmark relevant articles for newsletters or social media.
Built-in capabilities (46)
Create a new API key
Create a category
Create a new feed
Create a user (Admin only)
Delete an API key
Delete a category
Remove a feed
Delete a user (Admin only)
Discover subscriptions from a URL
OPML Export
Fetch original article content
Flush history
Get a single entry
Get a specific feed
Fetch unread and read counters
Get feed icon by feed ID
Get feed icon by icon ID
Check if any third-party integrations are enabled
Get current user information
Get a specific user (Admin only)
Get application version and build info
Healthcheck (checks DB)
Import an entry manually
OPML Import
List API keys
Get all categories
Get entries for a specific category
Get entries with filters
Get entries for a specific feed
Get all feeds
Get all users (Admin only)
Liveness probe
Mark all entries in a category as read
Mark all entries of a feed as read
Mark all entries for a user as read
Readiness probe
Refresh all feeds (background)
Refresh all feeds in a category
Refresh a specific feed (synchronous)
Save entry to third-party services
Toggle entry bookmark (starred)
Update a category
Update status of multiple entries (e.g., mark as read)
Update entry title or content
Update a feed
Update a user (Admin only)
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Miniflux (RSS Reader) tool infrastructure. Connect 46 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Miniflux (RSS Reader) without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every Miniflux (RSS Reader) tool response with IDE autocomplete and compile-time checks
- —
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Miniflux (RSS Reader) in Mastra AI
Miniflux (RSS Reader) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Miniflux (RSS Reader) to Mastra AI 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 Miniflux (RSS Reader) in Mastra AI
The Miniflux (RSS Reader) 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 46 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI 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
Miniflux (RSS Reader) for Mastra AI
Every tool call from Mastra AI to the Miniflux (RSS Reader) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I find RSS feeds from a website URL automatically?
Yes! Use the discover_subscriptions tool with any website URL. The agent will scan the site and return all available RSS/Atom feed links found.
How do I mark all articles in a specific feed as read?
Simply use the mark_feed_as_read action providing the feed_id. This will instantly update the status of all entries within that feed to 'read'.
Can I search for specific keywords across all my articles?
Yes. Use the list_entries tool and provide a keyword in the search parameter. You can also filter by status (read/unread) or starred items.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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