Inoreader MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Delete Tag, Edit Tag, Get Unread Counts, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Inoreader through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Inoreader app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Inoreader "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Inoreader?"
)
print(result.data)
asyncio.run(main())
* 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
About Inoreader MCP Server
Connect your Inoreader account to any AI agent and transform how you monitor news, blogs, and social feeds through natural language control.
Pydantic AI validates every Inoreader tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Feed Management — List all your subscriptions and quickly add new RSS/Atom feeds by URL.
- Content Extraction — Fetch article contents from specific feeds, folders, or system streams with advanced filtering.
- Organization — List, create, rename, and delete tags or folders to keep your information architecture clean.
- Engagement — Star important articles, mark items as read, or batch-clear entire streams instantly.
- Unread Monitoring — Get real-time summaries of unread counts across all your categorized content.
The Inoreader MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Inoreader tools available for Pydantic AI
When Pydantic AI connects to Inoreader through Vinkius, your AI agent gets direct access to every tool listed below — spanning rss-reader, content-curation, news-monitoring, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Articles will remain but the organizational label is removed. Delete a tag or folder
Use "user/-/state/com.google/starred" to star/unstar an item. Add or remove tags from articles (e.g., Starred)
Get the number of unread items per feed/folder
Get Inoreader user information
Use "user/-/state/com.google/reading-list" for all items. Get articles for a specific feed, folder, or tag
List all user subscriptions (feeds)
List all user tags and folders
Mark all items in a stream as read
Subscribe to a new feed by URL
Rename an existing tag or folder
Connect Inoreader to Pydantic AI via MCP
Follow these steps to wire Inoreader into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Inoreader MCP Server
Pydantic AI provides unique advantages when paired with Inoreader through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Inoreader integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Inoreader connection logic from agent behavior for testable, maintainable code
Inoreader + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Inoreader MCP Server delivers measurable value.
Type-safe data pipelines: query Inoreader with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Inoreader tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Inoreader and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Inoreader responses and write comprehensive agent tests
Example Prompts for Inoreader in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Inoreader immediately.
"What are the latest news from my Tech folder?"
"Find articles about 'SpaceX' that I haven't read yet."
"Mark all articles in my 'Social Media' tag as read."
Troubleshooting Inoreader MCP Server with Pydantic AI
Common issues when connecting Inoreader to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiInoreader + Pydantic AI FAQ
Common questions about integrating Inoreader MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.