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Allocations MCP Server
MCP server for ACCESS-CI research projects and allocations with NSF funding integration, boolean search, and similarity matching.
Usage Examples
Search & Discovery
"Machine learning projects on ACCESS"
"GPU computing allocations from 2024"
"Projects using 'deep learning' NOT 'computer vision'"
"All projects at Stanford"Funding Analysis
"Analyze funding for project 12345"
"NSF-funded projects at University of Illinois"
"Institutional funding profile for MIT"Tools
search_projects
Search ACCESS-CI research projects with boolean operators and similarity matching.
Parameters:
| Parameter | Type | Description |
|---|---|---|
query | string | Search with operators: AND, OR, NOT, exact phrases in quotes |
project_id | number | Get specific project details |
field_of_science | string | Filter by field (e.g., "Computer Science") |
resource_name | string | Filter by resource (e.g., "NCSA Delta GPU") |
allocation_type | string | Filter: Discover, Explore, Accelerate |
date_range | object | {start_date: "YYYY-MM-DD", end_date: "YYYY-MM-DD"} |
min_allocation | number | Minimum allocation amount |
similar_to | number | Find projects similar to this project ID |
similarity_keywords | string | Find projects similar to these terms |
similarity_threshold | number | Min similarity score (0.0-1.0, default: 0.3) |
sort_by | enum | relevance, date_desc, date_asc, allocation_desc, allocation_asc, pi_name |
limit | number | Max results (default: 20, max: 100) |
Examples:
javascript
// Boolean search
search_projects({ query: '"machine learning" AND gpu', limit: 10 })
// Get project details
search_projects({ project_id: 12345 })
// Find similar projects
search_projects({ similar_to: 12345, similarity_threshold: 0.7 })
// Filter by field and resource
search_projects({ field_of_science: "Computer Science", resource_name: "Delta" })analyze_funding
Cross-reference ACCESS allocations with NSF awards for funding analysis.
Parameters:
| Parameter | Type | Description |
|---|---|---|
project_id | number | Analyze funding for specific project |
institution | string | Generate institutional funding profile |
pi_name | string | Find funded projects by PI name |
has_nsf_funding | boolean | Filter to only NSF-funded projects |
field_of_science | string | Filter by field |
limit | number | Max results (default: 20) |
Examples:
javascript
// Analyze project funding
analyze_funding({ project_id: 12345 })
// Institutional profile
analyze_funding({ institution: "University of Illinois" })
// Find PI's funded projects
analyze_funding({ pi_name: "John Smith", has_nsf_funding: true })get_allocation_statistics
Get aggregate statistics across ACCESS allocations (top fields, resources, institutions).
Parameters:
| Parameter | Type | Description |
|---|---|---|
pages_to_analyze | number | Pages to analyze (default: 5, max: 20) |
Installation
bash
npm install -g @access-mcp/allocationsConfiguration
json
{
"mcpServers": {
"access-allocations": {
"command": "npx",
"args": ["@access-mcp/allocations"]
}
}
}NSF Integration (Optional)
For NSF funding cross-referencing, run both servers:
json
{
"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" }
}
}
}The allocations server works without NSF integration (gracefully degrades to ACCESS data only).
Resources
accessci://allocations- ACCESS-CI research projects and allocations
Package: @access-mcp/allocationsVersion: v0.5.1 Main: dist/index.js