npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@access-mcp/nsf-awards

v0.3.0

Published

MCP server for NSF awards and funding integration

Readme

NSF Awards MCP Server

MCP server for NSF awards and funding information with comprehensive search and detailed award data.

Usage Examples

Search & Discovery

"Awards for PI Dr. Jane Smith"
"Award #2138259 details"
"Computer science awards at MIT since 2020"
"Awards with 'quantum computing' keywords"

Analysis & Filtering

"Stanford awards over $500K"
"Largest materials science awards, 2020-2024"
"All Co-PIs on award #1947282"

Tools

search_nsf_awards

Search NSF awards by award number, PI, institution, or keywords.

Parameters: | Parameter | Type | Description | |-----------|------|-------------| | id | string | Get specific award by number (e.g., "2138259") | | pi | string | Search by principal investigator name | | institution | string | Search by institution name | | query | string | Search keywords in titles and abstracts | | primary_only | boolean | Only return awards where institution is PRIMARY recipient (default: false) | | limit | number | Max results (default: 10, max: 100) |

Examples:

// Get specific award details
search_nsf_awards({ id: "2138259" })

// Find awards by PI
search_nsf_awards({ pi: "John Smith", limit: 10 })

// Find awards by institution
search_nsf_awards({ institution: "Stanford University", limit: 20 })

// Primary awards only (excludes collaborations)
search_nsf_awards({ institution: "Stanford University", primary_only: true })

// Search by keywords
search_nsf_awards({ query: "machine learning", limit: 10 })

Installation

npm install -g @access-mcp/nsf-awards

Configuration

The NSF Awards server runs in HTTP mode to enable inter-server communication with the Allocations server.

{
  "mcpServers": {
    "access-nsf-awards": {
      "command": "npx",
      "args": ["@access-mcp/nsf-awards"],
      "env": {
        "PORT": "3007"
      }
    }
  }
}

NSF Integration with Allocations

To enable NSF award cross-referencing in the Allocations server:

{
  "mcpServers": {
    "access-nsf-awards": {
      "command": "npx",
      "args": ["@access-mcp/nsf-awards"],
      "env": { "PORT": "3007" }
    },
    "access-allocations": {
      "command": "npx",
      "args": ["@access-mcp/allocations"],
      "env": { "ACCESS_MCP_SERVICES": "nsf-awards=http://localhost:3007" }
    }
  }
}

This enables:

  • Institutional funding profiles (ACCESS + NSF)
  • PI award history cross-referencing
  • Funding vs. computational usage analysis