Skip to main content
Glama
enesjakozh
narumiruna

coindesk-mcp

by narumiruna
OverviewSchemaSourceRelated ServersScoreDiscussionsAdmin
Python
Remote

Crypto News MCP Server

Usage

From Docker

{
  "mcpServers": {
    "cryptonewsmcp": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "narumi/crypto-news-mcp"]
    }
  }
}

From PyPI

{
  "mcpServers": {
    "cryptonewsmcp": {
      "command": "uvx",
      "args": ["cryptonewsmcp"]
    }
  }
}

From GitHub

{
  "mcpServers": {
    "cryptonewsmcp": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/narumiruna/crypto-news-mcp",
        "cryptonewsmcp"
      ]
    }
  }
}

Related MCP server: cointelegraph-mcp

Components

Tools

  • recent_news

    • Fetches latest crypto news from specified site

    • Input:

      • site: Source site ("coindesk" or "decrypt")

    • Returns formatted list of news entries with titles, links, dates and summaries

  • read_news

    • Fetches article HTML from URL and converts it to Markdown

    • Input:

      • url: Article URL to retrieve

    • Returns Markdown-formatted article content

Available Tools

2 tools
read_newsA
Retrieves and extracts the full content of a specific news article from CoinDesk.

Fetches the HTML content from the provided URL, processes it to extract
structured news information including title, subtitle, author, publication date,
and article content.

Args:
    url (str): The complete URL of the CoinDesk news article to retrieve

Returns:
    str: A formatted string containing the article's title, subtitle, author,
         publication information, and content preview

Raises:
    HTTPStatusError: If the URL request fails
    Exception: If article parsing encounters errors
ParametersJSON Schema
NameRequiredDescriptionDefault
urlYes

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries full burden and does well by disclosing key behaviors: it fetches HTML content, processes it for structured extraction, and mentions potential error conditions (HTTPStatusError, parsing errors). It doesn't cover rate limits, caching behavior, or authentication requirements, but provides solid operational context.

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

Conciseness4/5

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

The description is well-structured with clear sections (purpose, args, returns, raises) and front-loaded key information. Some sentences could be more concise (e.g., 'Fetches the HTML content from the provided URL, processes it to extract structured news information' could be tightened), but overall it's efficient and organized.

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

Completeness4/5

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

For a single-parameter tool with no annotations and no output schema, the description provides good completeness: clear purpose, parameter explanation, return format description, and error conditions. It could benefit from more explicit sibling tool differentiation and operational constraints, but covers the essential context well.

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

Parameters5/5

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

With 0% schema description coverage and only one parameter, the description fully compensates by clearly explaining the 'url' parameter's purpose ('complete URL of the CoinDesk news article to retrieve') and constraints. It adds essential meaning beyond the bare schema.

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

Purpose5/5

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

The description clearly states the specific action ('retrieves and extracts full content'), resource ('news article from CoinDesk'), and scope ('structured news information including title, subtitle, author, publication date, and article content'). It distinguishes from the sibling tool 'recent_news' by focusing on individual article extraction rather than recent news listing.

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

Usage Guidelines3/5

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

The description implies usage context through the mention of 'CoinDesk news article' and the required URL parameter, but doesn't explicitly state when to use this tool versus the 'recent_news' sibling. No explicit guidance on prerequisites, alternatives, or exclusion criteria is provided.

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

recent_newsA
Retrieves the latest cryptocurrency and blockchain news articles from CoinDesk's RSS feed.

Fetches the current RSS feed from CoinDesk, parses it to extract information about
recent articles, and returns a formatted list of news items including titles,
links, publication timestamps, and summary content.

Returns:
    str: A formatted string containing multiple news entries separated by '---',
         with each entry showing title, URL, publication time, and summary

Raises:
    HTTPStatusError: If the RSS feed request fails
    Exception: If RSS parsing encounters errors
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the tool's behavior: fetching and parsing an RSS feed, returning formatted news items, and raising specific errors (HTTPStatusError, Exception). This covers key operational aspects like data source, processing steps, and error handling, though it lacks details on rate limits or caching.

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

Conciseness4/5

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

The description is well-structured and front-loaded with the core purpose in the first sentence. Subsequent sentences add necessary details about the process, return format, and error handling without redundancy. It could be slightly more concise by combining some sentences, but overall it is efficient and informative.

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

Completeness4/5

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

Given the tool's complexity (fetching and parsing external data) and lack of annotations or output schema, the description provides a complete picture: it explains what the tool does, how it works, the return format, and potential errors. This is sufficient for an agent to understand and use the tool effectively, though an output schema would further enhance completeness.

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

Parameters4/5

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

The tool has 0 parameters with 100% schema description coverage, so no parameter information is needed. The description appropriately does not discuss parameters, focusing instead on the tool's functionality and output. This meets the baseline for tools with no parameters.

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

Purpose5/5

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

The description clearly states the specific action ('retrieves'), resource ('latest cryptocurrency and blockchain news articles'), and source ('from CoinDesk's RSS feed'). It distinguishes from the sibling tool 'read_news' by specifying the RSS feed source and real-time nature ('latest'), whereas 'read_news' might imply reading stored or different news sources.

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

Usage Guidelines4/5

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

The description implies usage context by specifying 'latest' news and the CoinDesk source, which helps differentiate from 'read_news'. However, it does not explicitly state when to use this tool versus 'read_news' or provide any exclusions or prerequisites for usage.

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.

  1. 2 tool updatesv1.0.0
    • First observedread_news
    • First observedrecent_news
Install Server
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

TDQS

A4.1/5.0
Disambiguation5/5

The two tools have clearly distinct purposes: read_news extracts full content from a specific article URL, while recent_news fetches a list of recent articles from an RSS feed. There is no overlap in functionality, and an agent can easily distinguish between retrieving a single article versus getting multiple recent articles.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern (read_news and recent_news) with clear, descriptive names. The naming convention is uniform throughout the tool set, making it predictable and easy for agents to understand.

Tool Count2/5

With only 2 tools, the server feels thin for a news domain. While the tools cover reading specific articles and listing recent ones, there are likely gaps such as searching news, filtering by category, or accessing historical archives. The count is too low for comprehensive news interaction.

Completeness2/5

The tool surface is significantly incomplete for a news server. It lacks essential operations like searching for articles by keyword, filtering by date or category, and accessing older or archived news. Agents will struggle with basic news-related tasks beyond the two provided functions.

Resources

Related MCP Connectors

Related MCP Servers

Appeared in Searches

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/narumiruna/coindesk-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server