Which integrations are available for this server?

Allows automated refresh of the AI news cache via a scheduled Lambda function. Provides AI-powered summarisation of AI news articles. Fetches AI news from curated RSS feeds.

How do I use AI News MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@AI News MCP Server get me the latest AI news briefing" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

AI News MCP Server

by sp716

Overview Schema Related Servers Score Discussions

Python

Local

AI News MCP Server

A local stdio MCP server that fetches recent AI news from curated RSS feeds, summarises it with OpenAI, and can read a private AWS DynamoDB cache.

MCP Tools

list_ai_news_sources
get_latest_ai_news
get_cached_ai_news

Related MCP server: OmniWire-MCP

MCP Prompts

daily_ai_news_briefing
topic_watch
compare_ai_sources
executive_ai_digest

Local Setup

$env:UV_CACHE_DIR = ".uv-cache"
uv sync --python C:\Python311\python.exe

Set local OpenAI credentials for live local summaries:

$env:OPENAI_API_KEY = "your_api_key_here"
$env:OPENAI_MODEL = "gpt-5.4-mini"

Run the local MCP server:

uv run news-mcp

Local Tests

$env:UV_CACHE_DIR = ".uv-cache"
uv run pytest

AWS Cache Flow

The CDK stack creates:

DynamoDB table AiNewsCache
Secrets Manager secret news-mcp/openai-api-key
Lambda refresh function
EventBridge schedule that runs every 3 hours
IAM permissions for Lambda to read the secret and write DynamoDB

The Lambda writes the latest briefing to:

pk = BRIEFING
sk = LATEST

Build And Deploy AWS Cache

Rebuild the Lambda package after changing lambda_refresh/handler.py or lambda_refresh/requirements.txt:

.\scripts\build_lambda.ps1

Synthesize and deploy:

$env:UV_CACHE_DIR = ".uv-cache"
$env:JSII_RUNTIME_PACKAGE_CACHE = "C:\Users\arzil\Desktop\news-mcp\.jsii-cache"
$env:NPM_CONFIG_CACHE = "C:\Users\arzil\Desktop\news-mcp\.npm-cache"

npx.cmd aws-cdk synth
npx.cmd aws-cdk deploy

After deploy, store the OpenAI key in Secrets Manager:

aws secretsmanager put-secret-value `
  --secret-id news-mcp/openai-api-key `
  --secret-string "YOUR_OPENAI_API_KEY_HERE"

Invoke the Lambda once to populate the cache:

aws lambda list-functions --query "Functions[?contains(FunctionName, 'NewsCacheRefreshFunction')].FunctionName" --output table

aws lambda invoke `
  --function-name "PASTE_FUNCTION_NAME_HERE" `
  --payload "{}" `
  lambda-output.json

Test AWS-Backed MCP Tool

Inspector can be awkward on Windows, so this script tests the MCP protocol directly:

$env:AI_NEWS_CACHE_TABLE = "AiNewsCache"
$env:AWS_DEFAULT_REGION = "eu-west-2"
uv run python scripts\test_mcp_cached.py

You should see the available tools and a cached news result with:

"cache_error": null

Source Configuration

RSS sources live in sources.toml. Disable a source by setting:

enabled = false

Available Tools

3 tools

get_cached_ai_newsD

ParametersJSON Schema

Name	Required	Description	Default
No parameters

Output Schema

ParametersJSON Schema

Name	Required	Description
No output parameters

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_latest_ai_newsD

ParametersJSON Schema

Name	Required	Description	Default
`hours`	No
`limit`	No
`topics`	No
`source_ids`	No

Output Schema

ParametersJSON Schema

Name	Required	Description
No output parameters

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_ai_news_sourcesD

ParametersJSON Schema

Name	Required	Description	Default
No parameters

Output Schema

ParametersJSON Schema

Name	Required	Description
No output parameters

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

3 tool updatesv0.1.0Jul 15, 2026
- First observedget_cached_ai_news
- First observedget_latest_ai_news
- First observedlist_ai_news_sources

Install Server

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

TDQS

C2.1/5.0

Disambiguation5/5

Each tool targets a distinct action: one retrieves cached news, one gets latest news, one lists sources. No overlap.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: get_cached_ai_news, get_latest_ai_news, list_ai_news_sources.

Tool Count5/5

Three tools is appropriate for a focused news server; not too few or too many.

Completeness4/5

Covers cached and latest news retrieval and source listing, but lacks search or other advanced features. Minor gap.

Resources

GitHub Repository

Need Help?

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