setup-892000 — independently scanned and version-tracked by SaferSkills.
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Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Help the user set up the ENCODE Toolkit server. The server connects Claude to the ENCODE Project genomics database — the largest public catalog of functional genomic elements with 8,000+ experiments across 50+ assay types.
The ENCODE Toolkit server is installed via uvx (recommended) or pip:
claude mcp add encode -- uvx encode-toolkitAdd to claude_desktop_config.json:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": {
"encode": {
"command": "uvx",
"args": ["encode-toolkit"]
}
}
}Then restart Claude Desktop.
Add to your VS Code settings.json (Ctrl/Cmd + Shift + P → "Preferences: Open Settings (JSON)"):
{
"claude.mcpServers": {
"encode": {
"command": "uvx",
"args": ["encode-toolkit"]
}
}
}Add to .cursor/mcp.json in your project root:
{
"mcpServers": {
"encode": {
"command": "uvx",
"args": ["encode-toolkit"]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"encode": {
"command": "uvx",
"args": ["encode-toolkit"]
}
}
}pip install encode-toolkit
encode-toolkit # Run the serverAfter setup, test the connection with these verification queries (run them in order):
Ask: "List available ENCODE assay types"
encode_get_metadata(metadata_type="assays")Ask: "Search for ATAC-seq experiments on human brain"
encode_search_experiments(assay_title="ATAC-seq", organ="brain", organism="Homo sapiens")Ask: "What organs have the most ENCODE data?"
encode_get_facets(facet_field="organ")If all three work, your setup is complete.
Most ENCODE data is public and needs no authentication. For restricted/unreleased data:
Ask: "Store my ENCODE credentials"
→ Calls encode_manage_credentials(action="store", access_key="...", secret_key="...")encode_manage_credentials(action="status")encode_manage_credentials(action="remove")After setup, these tools are available:
| Category | Tools | Purpose |
|---|---|---|
| Search | encode_search_experiments, encode_get_facets, encode_get_metadata | Find experiments, explore data landscape, get valid filter values |
| Experiment Details | encode_get_experiment, encode_compare_experiments | Get full experiment metadata, compare two experiments |
| Files | encode_search_files, encode_list_files, encode_get_file_info | Find files, list files for an experiment, get file details |
| Download | encode_download_files, encode_batch_download | Download individual or batch files with MD5 verification |
| Tracking | encode_track_experiment, encode_list_tracked, encode_get_tracking_summary | Local experiment tracking with SQLite |
| Provenance | encode_log_derived_file, encode_get_provenance | Log analysis outputs with full lineage |
| Citations | encode_get_citations, encode_link_reference | Publication data, cross-reference to PubMed/GEO |
| Credentials | encode_manage_credentials | Store/remove API credentials |
| Collection | encode_summarize_collection | Summarize tracked experiment portfolio |
This walkthrough demonstrates a complete workflow from installation to data exploration.
"What ENCODE assay types are available for human pancreas?"
→ encode_get_facets(facet_field="assay_title", organ="pancreas", organism="Homo sapiens")"Find all histone ChIP-seq experiments on human pancreas"
→ encode_search_experiments(assay_title="Histone ChIP-seq", organ="pancreas", organism="Homo sapiens")"Get details for ENCSR123ABC"
→ encode_get_experiment(accession="ENCSR123ABC")"List the preferred BED files for ENCSR123ABC"
→ encode_list_files(accession="ENCSR123ABC", file_format="bed", assembly="GRCh38")"Download the IDR-thresholded peaks for ENCSR123ABC"
→ encode_download_files(accession="ENCSR123ABC", file_format="bed", output_type="IDR thresholded peaks")"Track ENCSR123ABC in my local database with note 'H3K27ac pancreatic islets'"
→ encode_track_experiment(accession="ENCSR123ABC", notes="H3K27ac pancreatic islets")The ENCODE Toolkit works alongside other MCP servers and REST APIs:
| Database | Access Method | What It Adds |
|---|---|---|
| PubMed | MCP server (search_articles) | Literature citations for ENCODE experiments |
| bioRxiv | MCP server (search_preprints) | Preprint discovery for latest research |
| ClinicalTrials.gov | MCP server (search_trials) | Clinical trial cross-reference |
| Open Targets | MCP server (query_open_targets_graphql) | Drug target identification |
| GTEx | REST API via skill | Tissue-specific expression context |
| ClinVar | REST API via skill | Clinical variant annotation |
| GWAS Catalog | REST API via skill | Trait-associated variant lookups |
| gnomAD | GraphQL via skill | Population allele frequencies |
| Ensembl | REST API via skill | VEP annotation, Regulatory Build |
| UCSC | REST API via skill | Genome browser tracks, cCRE data |
| GEO | E-utilities via skill | Complementary expression datasets |
| JASPAR | REST API via skill | TF binding motif databases |
| CellxGene | REST API via skill | Single-cell expression atlases |
Beyond the 20 tools, the ENCODE Toolkit includes 47 skills providing domain expertise:
| Problem | Cause | Fix | |
|---|---|---|---|
| "Server not found" | Claude not restarted after config change | Restart Claude Desktop / reload Claude Code | |
| "uvx not found" | uv not installed | `curl -LsSf https://astral.sh/uv/install.sh \ | sh` |
| Timeout errors | Slow connection or ENCODE API load | Retry; rate limit (10 req/sec) is handled automatically | |
| 403 on downloads | File requires authentication | encode_manage_credentials(action="store", ...) | |
| No results returned | Filters too narrow | Broaden filters; use encode_get_facets to see available data | |
| "Invalid accession" | Wrong format | Must be ENCSR/ENCFF/ENCBS format (e.g., ENCSR000AAA) | |
| Empty facets | API connectivity issue | Check internet; try encode_get_metadata(metadata_type="assays") | |
| Stale results | Cached data | Cache TTL is 1 hour; restart server to clear |
encode_get_metadata(metadata_type="assays")Expected output:
{
"assays": ["ATAC-seq", "ChIP-seq", "CUT&RUN", "CUT&Tag", "DNase-seq", "Hi-C", "MPRA", "RNA-seq", "STARR-seq", "WGBS", "eCLIP", "scATAC-seq", "scRNA-seq"]
}encode_search_experiments(assay_title="ATAC-seq", organ="brain", organism="Homo sapiens", limit=3)Expected output:
{
"total": 32,
"results": [
{"accession": "ENCSR000AAA", "assay_title": "ATAC-seq", "biosample_summary": "brain", "status": "released"}
]
}encode_get_facets(facet_field="organ", organism="Homo sapiens")Expected output:
{
"facets": {
"organ": {"brain": 450, "blood": 380, "liver": 220, "heart": 180, "lung": 150}
}
}| Skill | When to Use |
|---|---|
search-encode | First skill to use after setup — find experiments by assay, tissue, target |
download-encode | Download ENCODE files (BED, bigWig, FASTQ, BAM) after finding experiments |
pipeline-guide | Set up Nextflow pipelines for processing raw ENCODE data |
bioinformatics-installer | Install all bioinformatics tools needed for ENCODE analysis |
cross-reference | Link ENCODE experiments to PubMed, GEO, ClinicalTrials.gov |
quality-assessment | Evaluate data quality before analysis |
publication-trust | Verify literature claims backing analytical decisions |
When reporting setup results:
encode_get_metadata(metadata_type="assays")) and confirm it returns results successfullysearch-encode to find experiments, or encode_get_facets to explore what ENCODE data is available for their research area~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.