Context7
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作者提供的说明(英文原文)
20 MCP tools + 48 skills for ENCODE Project genomics — search, download, pipelines
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"encode-toolkit": {
"command": "npx",
"args": [
"-y",
"encode-toolkit"
]
}
}
}在终端中运行这条命令
claude mcp add encode-toolkit -- npx -y encode-toolkit粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"encode-toolkit": {
"command": "npx",
"args": [
"-y",
"encode-toolkit"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"encode-toolkit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"encode-toolkit"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 ammawla 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.3.0-beta.5)于8个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Python (uv)。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Search ENCODE, cross-reference 14 databases, run 7 analysis pipelines, and generate publication-ready methods — all from natural language in Claude Code.
Start from ENCODE but go everywhere: discover histone peaks, cross-reference with GWAS variants, check ClinVar pathogenicity, pull GTEx expression, analyze TF binding motifs from JASPAR, run pipelines, and generate publication-ready methods with full provenance — in one conversation.
If you use ENCODE-Toolkit, please cite:
Alex M. Mawla. (2026). *ENCODE-Toolkit: an MCP server, Claude plugin, and skills suite for ENCODE genomic data access and analysis*. Zenodo. https://doi.org/10.5281/zenodo.18917511
@software{mawla_2026_encode_toolkit,
author = {Mawla, Alex M.}, title = {ENCODE-Toolkit: an MCP server, Claude plugin, and skills suite for ENCODE genomic data access and analysis}, year = {2026}, publisher = {Zenodo}, doi = {10.5281/zenodo.18917511}, url = {https://doi.org/10.5281/zenodo.18917511} }
Start a new Claude Code session and enter:
/plugin marketplace add ammawla/encode-toolkit
/plugin install encode-toolkit
That's it. All 20 tools, 47 skills, and the MCP connector are now available.
MCP-only install (tools only, no skills)
If you only need the 20 MCP tools without the 47 workflow skills:
claude mcp add encode -- uvx encode-toolkit
Other editors and platforms
npx encode-toolkit
Or in MCP client config: { "command": "npx", "args": ["encode-toolkit"] }
pip install encode-toolkit
Then use encode-toolkit as the command in any MCP client configuration:
{
"mcpServers": { "encode": { "command": "encode-toolkit" } } }
Claude Desktop (MCP only)
Add to your claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": { "encode": { "command": "uvx", "args": ["encode-toolkit"] } } }
No installation needed when using
uvx. Just add the config and restart Claude.
VS Code / Copilot
Add to .vscode/mcp.json in your workspace:
{
"mcp": { "servers": { "encode": { "command": "uvx", "args": ["encode-toolkit"] } } } }
Cursor
Add to .cursor/mcp.json:
{
"mcpServers": { "encode": { "command": "uvx", "args": ["encode-toolkit"] } } }
Windsurf
Add to .windsurf/mcp.json:
{
"mcpServers": { "encode": { "command": "uvx", "args": ["encode-toolkit"] } } }
ENCODE Toolkit integrates 14 databases through live API tools and guided skills.
| Database | Access Method | Use Case |
|---|---|---|
| ENCODE | 20 MCP tools (live API) | ChIP-seq, ATAC-seq, RNA-seq, Hi-C, WGBS, CUT&RUN data |
| GTEx | REST API (skill) | Tissue-specific gene expression across 54 tissues |
| ClinVar | E-utilities (skill) | Variant clinical significance and pathogenicity |
| GWAS Catalog | REST API (skill) | Trait-variant associations from genome-wide studies |
| JASPAR | REST API (skill) | Transcription factor binding motif profiles |
| CellxGene | Census API (skill) | Single-cell expression atlas across tissues |
| gnomAD | GraphQL (skill) | Population allele frequencies and gene constraint |
| Ensembl | REST API (skill) | VEP annotation, Regulatory Build, coordinate liftover |
| UCSC Genome Browser | REST API (skill) | cCRE tracks, TF clusters, sequence retrieval |
| GEO | E-utilities (skill) | Complementary expression/epigenomic datasets |
| PubMed | MCP server | Literature search and citation |
| bioRxiv | MCP server | Preprint discovery |
| ClinicalTrials.gov | MCP server | Clinical trial cross-reference |
| Open Targets | MCP server | Drug target identification |
More example prompts
Using genomics databases today means:
With ENCODE Toolkit, just tell Claude what you need:
"Find all histone ChIP-seq data for human pancreas tissue"
Claude searches ENCODE, returns a structured table of 66 experiments with targets, replicates, and file counts. Downloads are organized by experiment with MD5 verification and full provenance tracking.
Five core tools are shown below. The remaining 15 are collapsed for readability.
encode_search_experimentsSearch ENCODE experiments with 20+ filters.
| Parameter | Type | Description |
|---|---|---|
assay_title | string | Assay type: "Histone ChIP-seq", "ATAC-seq", "total RNA-seq", "Hi-C", etc. |
organism | string | Species (default: "Homo sapiens") |
organ | string | Organ: "pancreas", "brain", "liver", "heart", "kidney", etc. |
biosample_type | string | "tissue", "cell line", "primary cell", "organoid" |
target | string | ChIP target: "H3K27me3", "H3K4me3", "CTCF", etc. |
biosample_term_name | string | Specific biosample: "GM12878", "HepG2", etc. |
limit | int | Max results (default: 25) |
encode_get_experimentGet full details for a single experiment including all files, quality metrics, and audit info.
| Parameter | Type | Description |
|---|---|---|
accession | string | Experiment ID (e.g., "ENCSR133RZO") |
encode_download_filesDownload specific files by accession to a local directory.
| Parameter | Type | Description |
|---|---|---|
file_accessions | list[str] | File IDs to download (e.g., ["ENCFF635JIA"]) |
download_dir | string | Local path to save files |
organize_by | string | "flat", "experiment", "format", "experiment_format" |
verify_md5 | bool | Verify file integrity (default: true) |
encode_batch_downloadSearch + download in one step. Runs in preview mode by default.
| Parameter | Type | Description |
|---|---|---|
download_dir | string | Local path to save files |
file_format | string | File format to download |
assay_title | string | Assay type filter |
organ | string | Organ filter |
dry_run | bool | Preview only (default: true). Set false to download. |
encode_track_experimentTrack an experiment locally with its publications, methods, and pipeline info.
| Parameter | Type | Description |
|---|---|---|
accession | string | Experiment ID to track |
fetch_publications | bool | Fetch associated publications (default: true) |
fetch_pipelines | bool | Fetch pipeline/analysis info (default: true) |
notes | string | Optional notes to attach |
Search and discovery tools (4)
encode_list_filesList files for a specific experiment with format/type filters.
| Parameter | Type | Description |
|---|---|---|
experiment_accession | string | Experiment ID |
file_format | string | "fastq", "bam", "bed", "bigWig", "bigBed", etc. |
| `o
只显示了开头部分;其余内容请在仓库中阅读