Install
$ agentstack add skill-zaoqu-liu-scienceclaw-asta-corpus-search ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Asta Scientific Corpus Search
Access Allen AI's massive scientific literature graph: 225M+ papers, 80M+ authors, 2.4B+ citation edges, and 12M+ full-text publications (285M+ passages).
When to Use
- Always as part of multi-source literature search (Channel 4 alongside PubMed, OpenAlex, Semantic Scholar)
- Especially useful when you need:
- Full-text paragraph-level search (not just title/abstract)
- Deep citation network traversal
- Cross-disciplinary paper discovery
- Author relationship analysis
API Configuration
| Parameter | Value | |-----------|-------| | Endpoint | https://asta-tools.allen.ai/mcp/v1 | | Protocol | MCP over HTTP POST (JSON-RPC style) | | Auth | x-api-key: $ASTA_API_KEY header | | Rate limits | Higher with API key; basic access without | | Key registration | Free at https://allenai.org/asta/resources |
Core Tools
1. search_papers — Find papers by query
curl -s "https://asta-tools.allen.ai/mcp/v1" \
-H "Content-Type: application/json" \
-H "x-api-key: $ASTA_API_KEY" \
-d '{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 1,
"params": {
"name": "search_papers",
"arguments": {
"query": "THBS2 tumor microenvironment macrophage",
"limit": 15
}
}
}'
Returns: paper IDs, titles, authors, year, citation count, abstract snippets.
2. get_papers — Retrieve paper details by ID
Supports multiple ID types: DOI, arXiv ID, PMID, Semantic Scholar CorpusId.
curl -s "https://asta-tools.allen.ai/mcp/v1" \
-H "Content-Type: application/json" \
-H "x-api-key: $ASTA_API_KEY" \
-d '{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 1,
"params": {
"name": "get_papers",
"arguments": {
"paper_ids": ["PMID:32273438", "DOI:10.1038/s41586-024-07487-w"],
"fields": ["title", "authors", "year", "abstract", "citationCount", "references"]
}
}
}'
3. get_citations — Citation graph traversal
curl -s "https://asta-tools.allen.ai/mcp/v1" \
-H "Content-Type: application/json" \
-H "x-api-key: $ASTA_API_KEY" \
-d '{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 1,
"params": {
"name": "get_citations",
"arguments": {
"paper_id": "PMID:32273438",
"direction": "citations",
"limit": 20
}
}
}'
Use "direction": "references" for backward citations.
Integration with Multi-Source Search
Add Asta as the fourth channel in the standard literature search block:
echo "=== PubMed ===" && \
curl -s "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&retmode=json&retmax=20&sort=relevance&term=QUERY" && \
echo -e "\n=== OpenAlex ===" && \
curl -s "https://api.openalex.org/works?search=QUERY&per_page=10&sort=relevance_score:desc&select=id,title,authorships,publication_year,cited_by_count,doi,primary_location" && \
echo -e "\n=== Semantic Scholar ===" && \
curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query=QUERY&limit=10&fields=title,authors,year,abstract,citationCount,externalIds,url" && \
echo -e "\n=== Asta (225M papers, full-text index) ===" && \
curl -s "https://asta-tools.allen.ai/mcp/v1" \
-H "Content-Type: application/json" \
-H "x-api-key: $ASTA_API_KEY" \
-d '{"jsonrpc":"2.0","method":"tools/call","id":1,"params":{"name":"search_papers","arguments":{"query":"QUERY","limit":15}}}'
When Asta Adds Unique Value
| Scenario | Why Asta helps | |----------|---------------| | Full-text keyword search | PubMed only searches title/abstract; Asta indexes 285M+ passages from 12M full-text papers | | Finding methods/protocols | Search for specific techniques mentioned only in methods sections | | Citation network depth | 2.4B+ citation edges enable deep forward/backward chain analysis | | Cross-disciplinary discovery | 225M papers across all fields, not limited to biomedical | | Preprint coverage | Includes arXiv, bioRxiv, medRxiv alongside published papers |
Fallback Behavior
If ASTA_API_KEY is not configured or the API returns an error:
- Skip Asta silently
- Continue with PubMed + OpenAlex + Semantic Scholar
- Do NOT report the failure to the user unless they explicitly asked for Asta results
Response Parsing
Asta MCP responses follow JSON-RPC format:
{
"jsonrpc": "2.0",
"id": 1,
"result": {
"content": [
{
"type": "text",
"text": "... JSON string with paper results ..."
}
]
}
}
Parse result.content[0].text as JSON to extract paper data. Handle nested JSON strings.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Zaoqu-Liu
- Source: Zaoqu-Liu/ScienceClaw
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.