What is the key difference between Altmetric Mcp and Spanly?

Altmetric Mcp belongs to the Monitoring category with local stdio execution, while Spanly belongs to the Monitoring category with cloud HTTP/SSE execution.

How do I install Altmetric Mcp or Spanly in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Altmetric Mcp and Spanly free or paid?

Altmetric Mcp operates under a Free / Open Source model (No auth required). Spanly operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Altmetric Mcp lists 12 tools with 0 views and 7 GitHub stars. Spanly lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Altmetric Mcp and Spanly together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Altmetric Mcp or Spanly in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Altmetric Mcp and Spanly free to use, or do they require API keys?

Altmetric Mcp is listed under a Free / Open Source model with No auth required . Spanly operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Altmetric Mcp and Spanly at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both altmetric-mcp and spanly as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Altmetric Mcp has a Quality Score of 59 /100 ( Good ) with 0 views, 0 installs, and 7 GitHub stars. Spanly holds a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Altmetric Mcp vs Spanly

In-depth architectural comparison of the Altmetric Mcp and Spanly MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Altmetric Mcp

Monitoring · Local stdio

Quality: 59/100 (Good) | Auth: No auth required

Spanly

Monitoring · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Altmetric Mcp if you need specialized Monitoring tools running via a local process. Choose Spanly if your workspace requires Monitoring integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Altmetric Mcp when:

You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: get_citation_counts, get_citation_details, search_citations.

Explore Altmetric Mcp Details

Choose Spanly when:

You need dedicated capabilities in the Monitoring domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Spanly Details

Feature & Specification Comparison

Specification	A Altmetric Mcp Monitoring	S Spanly Monitoring
Summary	MCP server for Altmetric APIs - track research attention across news, policy, social media, and more	MCP observability. Query live traffic, errors, duration, and alerts from your AI agent.
Category & Scope	Monitoring	Monitoring
Quality signal

Tools & Capabilities Breakdown

Altmetric Mcp Tools (12)

get_citation_counts

Attention metrics by identifier (DOI, PubMed ID, etc.)

get_citation_details

Full mention text, author details (incl. Dimensions Researcher IDs), metadata

search_citations

Search attention data across all outputs by timeframe

get_batch_attention_data

Attention metrics for many DOIs at once, ranked

translate_identifiers

Translate identifiers (DOI, PMID, etc.) to Altmetric IDs

explore_research_outputs

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Altmetric Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "altmetric-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "altmetric-mcp"
      ]
    }
  }
}

Spanly Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "spanly": {
      "url": "https://spanly.com"
    }
  }
}

Frequently Asked Questions

Altmetric Mcp is categorized under Monitoring and uses a local stdio subprocess. In contrast, Spanly belongs to Monitoring using remote streaming HTTP/SSE transport. Select Altmetric Mcp when you need capabilities focused on monitoring and Spanly when you require tools for monitoring.

More alternatives to Altmetric Mcp More alternatives to Spanly Monitoring category hub