原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Protein MCP Server

作者:cyanheads版本 0.9.0i★ –i电脑或云端
注册名称io.github.cyanheads/protein-mcp-server

安装

概览

作者提供的说明(英文原文)

Federated protein structure & annotation across experimental (PDB) and predicted (AlphaFold) models.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://protein.caseyjhand.com/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "protein": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/protein-mcp-server"
      ],
      "env": {
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http protein https://protein.caseyjhand.com/mcp

或者在你的电脑上运行

claude mcp add protein --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/protein-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "protein": {
      "url": "https://protein.caseyjhand.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "protein": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/protein-mcp-server"
      ],
      "env": {
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "protein": {
      "type": "http",
      "url": "https://protein.caseyjhand.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "protein": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/protein-mcp-server"
      ],
      "env": {
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://protein.caseyjhand.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • MCP_LOG_LEVEL env
    Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').

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。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • protein_search_structures

    Search experimental (PDB) and predicted (computed-model) protein structures by free text, protein sequence (triggers an mmseqs2 similarity search), and/or organism, method, resolution, and bound-ligand filters. Returns ranked hits; the experimental page is enriched with title, me

  • protein_get_structure

    Fetch structures with metadata and coordinate-file URLs. source "experimental" takes PDB entry IDs, and also resolves the computed-model IDs protein_search_structures returns (AF_*/MA_*), which come back marked source "predicted" with their modelling provider; "predicted" takes U

  • protein_find_similar

    Find structurally or evolutionarily related proteins. by:"sequence" runs an RCSB mmseqs2 sequence-similarity search (synchronous; experimental PDB entries only — protein_search_structures with a sequence also reaches computed models) over a sequence — supplied directly, taken fro

  • protein_track_ligands

    Ligand discovery and binding-site analysis across the PDB. mode "find_ligand" resolves a name or formula to chemical component IDs with metadata (formula, weight, SMILES), ranked by deposition frequency — most-deposited component first, so the top hit is the most common match for

  • protein_compare_structures

    Structurally align multiple structures (up to the configured batch cap; structures past it are returned in ignored) via the RCSB Structural Comparison service (TM-align / jFATCAT). reference:"first" aligns every structure to the first; reference:"all_pairs" computes the full pair

  • protein_analyze_collection

    Profile the PDB into distributions and trends over an optional scoping query: counts by method, organism, or polymer composition; resolution and molecular-weight histograms; release-year timelines; and multidimensional cross-tabs (e.g. method × release_year). Aggregation runs at

  • protein_get_annotations

    Sequence and functional annotation for a protein: UniProt positional features (domains, binding and active sites, PTMs including cross-links and lipidation, topology, DNA binding, processing products such as chains and signal peptides, mutagenesis), natural variants, and InterPro

基础检查i

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9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 cyanheads 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 188 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 7 个工具描述,未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18696 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18696 个服务器的 89% 更新
  • 基础检查结果等于或优于此分类中其他 18696 个服务器的 100%

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。

常见问题

Protein MCP Server 安全吗?

它在 3 项适用的基础检查中通过了 3 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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.9.0)于5天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Tethered Trust

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

作者:formulahendry起步阶段↓ 66/周★ 44014个月前更新

在你的电脑上运行

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

作者:desktop-commander正在增长★ 2114天前更新

在云端运行✓ desktopcommander.app

Tethered Trust

Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.

作者:tetheredtrust.com起步阶段今天更新

在云端运行✓ tetheredtrust.com

作者的 README

打开 README

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。

@cyanheads/protein-mcp-server Federated protein structure & annotation across experimental (PDB) and predicted (AlphaFold) models via MCP. STDIO or Streamable HTTP. 7 Tools • 2 Resources

Public Hosted Server: https://protein.caseyjhand.com/mcp


Overview

Experimental (PDB) and predicted (AlphaFold) protein structures behind one surface. Search, fetch, align, and annotate structures and their ligands across RCSB, AlphaFold DB, 3D-Beacons, UniProt, InterPro, and Foldseek. No API key required.

Tools
ToolDescription
protein_search_structuresSearch experimental and predicted structures by text, sequence, or organism/method/resolution, with optional facets
protein_get_structureFetch metadata and coordinate URLs for experimental, predicted, or best-available structures
protein_find_similarFind sequence homologs (RCSB mmseqs2) or fold homologs (Foldseek)
protein_track_ligandsResolve ligands to component IDs, find structures containing one, or map its binding site
protein_compare_structuresAlign structures with TM-align or jFATCAT, against a reference or all pairs
protein_analyze_collectionProfile the PDB as counts, histograms, timelines, and cross-tabs
protein_get_annotationsFetch UniProt features and variants plus InterPro domains with GO terms
Resources
ResourceDescription
pdb://{entry_id}Experimental structure summary for a PDB entry
af://{uniprot}AlphaFold DB predicted-structure summary for a UniProt accession

Both resources are also reachable through protein_get_structure, for clients that don't surface resources.

Skills
SkillDescription
protein-guideIdentifier forms each tool takes, author vs label chains, residue numbering, and the gates for best_available picks, sequence and Foldseek hits, ligand counts, and PDB profiles

Served over MCP as skill://protein-guide/SKILL.md; it also ships in plugin installs, the .mcpb bundle, the npm package, and the Docker image.

Capability reference

protein_search_structures tool
  • At least one of query, sequence (an mmseqs2 search; min_identity / max_evalue apply only with it), organism, method, max_resolution, or ligand (an exact component ID held as a bound copy); content_type is experimental, predicted, or all (default); up to 100 hits per page (default 25) via limit / start
  • organism takes a scientific name, an NCBI common name, or a taxon ID, and matches that taxon plus every taxon under it; a word fragment matches nothing. method takes one of the 13 RCSB experimental methods in any letter case, or an alias (cryo-EM, cryoEM, EM, X-ray, xray, NMR for both NMR methods); anything else fails as unknown_method
  • A sequence needs at least 10 residues; whitespace is stripped and case normalized, and an invalid one fails as invalid_sequence. Each hit names its source and an entry id you can pass to other tools, and carries organisms (a sequence hit's are the matched entity's). Sequence hits add identity, evalue, bitscore, and the aligned ranges, with queryLength at the response level
  • Optional facets (method, organism, polymer_type, resolution, release_year, molecular_weight) add a breakdown capped at PROTEIN_FACET_BUCKET_CAP buckets per dimension; facets count the filtered set, so an active organism or method filter constrains its own facet

protein_get_structure tool
  • source: experimental (default) takes PDB entry IDs and the AF_* / MA_* computed-model IDs search returns (these come back as source: predicted); predicted takes UniProt accessions, isoform accessions (P04637-2), or AlphaFold DB entry IDs (AF-P04637-2-F1) for AlphaFold models with pLDDT/PAE; best_available takes the same identifiers (an entry ID reduces to its accession) and returns the PDB entry with the widest UniProt coverage (ties to the finest resolution), else the model with the highest confidence on the lDDT scale. Best-available records carry coverage, uniprotStart, and uniprotEnd; a pick can come from a non-PDB provider, and only a record with pdbId is a PDB entry. If the PDB check is unavailable, the pick ranks the federated models alone and notice says so
  • A UniProt accession merged into another entry resolves to its successor's model with a notice; a demerged or deleted one lands in failed[] with its replacements
  • IDs are trimmed and de-duplicated (case-insensitive); up to PROTEIN_MAX_BATCH_IDS are looked up per call (default 25) and the remainder comes back in ignored. One 50 s budget covers all upstream lookups in a call; under predicted and best_available, an ID it stops, or whose upstream lookup fails (an error status, an HTML page, a network failure), lands in failed[] with a reason to re-call it
  • Unresolved IDs land in failed[]; when nothing resolves the call fails as upstream_unavailable (retryable, with data.failed) if every ID's lookup failed upstream or ran out of the 50 s budget, so none is known to lack a structure, and otherwise as all_failed (with data.failed); it fails mixed_id_types when the IDs don't fit source. Records include coordinateUrls for the files that exist, and organisms under experimental and predicted
  • include_coords inlines coordinate text in 24,000-character windows: a single selected structure pages with coords_offset, passing back coordinatesNextOffset until it is absent; several selected files inline whole only when together they fit one window, otherwise an overflow outline lists each file's length to re-call with sections: [id]. coords_offset above 0 needs exactly one selected structure (coords_offset_needs_one_structure)

protein_find_similar tool
  • by: sequence runs a synchronous RCSB mmseqs2 search over experimental PDB entries only (protein_search_structures with a sequence also reaches computed models) from sequence, pdb_id, or uniprot, filtered by max_evalue / min_identity; by: structure runs an async Foldseek search from pdb_id (its mmCIF file) or uniprot (its AlphaFold DB model) against pdb100 + afdb50 unless databases says otherwise. uniprot takes a canonical or isoform accession, or a UniProtKB entry name such as HBA_HUMAN (resolved to its entry's accession), in both modes and is shape-checked before any request (invalid_accession). databases takes exactly these case-sensitive names: pdb100, afdb50, afdb-swissprot, afdb-proteome, bfvd_v3, cath50, mgnify_esm30, gmgcl_id, bfmd; any other fails schema validation (-32602), and a name Foldseek itself refuses fails as databases_rejected. A field only the other mode reads fails as mode_mismatched_field; up to 100 hits per page (default 25)
  • Sequences follow the same rules as protein_search_structures, and a direct sequence wins over identifiers. A pdb_id sequence query searches one protein entity: the one holding chain (author chain, case-sensitive, by: sequence only, requires pdb_id), else the lowest-numbered protein entity of at least 10 residues; DNA and RNA entities are never searched. The response names it in queryEntityId, and a notice lists the entry's other protein entities. An unmatched chain fails as chain_not_found, and chain without pdb_id as chain_without_pdb_id
  • Hits name their source (and database for structure hits), ranked by score; sequence hits add identity, evalue, bitscore, and the aligned ranges. Responses report totalCount, nextStart, and queryLength
  • A merged uniprot accession answers for its successor with a notice; a demerged or deleted one fails as inactive_accession with its replacements. A by: structure coordinate file is limited to 16,000,000 characters, and a larger one fails as structure_too_large
  • A structure hit carries Foldseek's target name and an id only when the target resolves to a PDB entry or UniProt accession; bfvd_v3, mgnify_esm30, gmgcl_id, and bfmd hits have none. Other structure-hit fields: chain (a -N suffix marks a symmetry copy), title, probability, organisms / taxId (the target's, where Foldseek classifies it), and the aligned spans queryStart, queryEnd, targetStart, targetEnd, targetLength. A sequence hit's organisms are the matched entity's
  • A structure job still running at the poll budget returns status: computing with a ticketId; re-call with ticket_id to resume it. A job Foldseek accepted before the call's 50 s budget ran out comes back the same way. For a new search the poll window starts when the call does, so identifier lookups and the coordinate download come out of it. A multichain structure is searched one chain at a time via query (0-based, default 0) out of queryCount

protein_track_ligands tool
  • mode is find_ligand (query: a name or formula), structures_with_ligand (comp_id), or binding_site (pdb_id, optional comp_id); a missing mode input fails as missing_param. limit is 1–100 (default 25), and start pages the last two modes
  • find_ligand returns component IDs with formula, weight, SMILES, and InChIKey, ranked by depositionCount, with totalCount and candidatesConsidered showing when the candidate pool was cut short; structures_with_ligand lists entries highest resolution first, each with title, method, and hostEntities (the polymer entities whose chains the depositor assigned the ligand to)
  • Matching counts bound non-polymer copies only, not a residue inside a polymer chain or a sugar inside a branched glycan; depositionCount equals the totalCount of structures_with_ligand for the same component
  • binding_site returns pocket

只显示了开头部分;其余内容请在仓库中阅读

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