phylokit-mcp

io.github.musharna由 GitHub 账号 musharna 发布v0.9.0更新于 Nov 7, 2026

Phylogenetic inference via IQ-TREE 3 — never returns a topology without its support

已验证STDIO仅桌面数据与分析AI 与机器学习

概览

AI 生成的概览

借助 IQ-TREE 3 进行最大似然系统发育树推断,并用 MAFFT 比对序列,始终返回每个分支的 bootstrap 支持度。

可以做什么
  • 推断最大似然树并给出各分支 bootstrap 支持度、冲突分支与解析比例
  • 按 AIC/AICc/BIC 对 100 多个替换模型排序并指出准则分歧
  • 用 Robinson–Foulds 距离比较两棵树并列出不同分支
  • 沿指定树模拟序列,作为阳性对照
  • 用 MAFFT 比对未比对的 FASTA,并把残基映射到比对列
  • 报告引擎版本、模型数量与各项限制
适用场景
适合需要从序列数据构建或核验系统发育树、且关注支持度的场景,也适合希望免去自行搭建 IQ-TREE、piqtree 与 MAFFT 环境、直接获得可复现树与比对结果的情况。
运行要求
本地 stdio 进程,通常通过 uvx 从 PyPI 包 phylokit-mcp 启动;需要 Python 3.12 或更高版本。IQ-TREE 3 随 piqtree 一起提供。序列比对以及未比对输入的位置映射需要 PATH 中有 MAFFT 可执行文件。无需认证或 API 密钥。
安装前请注意
长时间运行开销较大:非参数 bootstrap 成本随重复次数线性增长,调用上限为 200 个分类单元、1000/10000 次重复。结果并非逐位可复现,比较树应使用 compare_trees,比较数值应留出容差。分子类型必须显式声明,猜错会静默返回错误的树。工具会读取助手给出的文件路径,align_sequences 可在 out_path 写入新文件。

安装

在 SourceWeft 中

  1. 打开 控制台中的 phylokit-mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

phylokit-mcp

phylokit-mcp is an MCP server that lets AI agents build maximum-likelihood trees with IQ-TREE 3 and align sequences with MAFFT.

[CI] [PyPI] [Python] [License] [DOI] [Glama]

A topology without support is not a result. infer_tree always runs a bootstrap and returns per-clade support. There is no flag to skip it.

Why the rule

A maximum-likelihood tree looks the same whether or not the data support it. Measured on alignments simulated from a known 7-taxon tree (JC, 100 replicates, seed 1):

SitesInformative sitesRecovered the true tree?Lowest clade support
30051yes, exactly1.00
6011no, RF 20.57

At 60 sites the tree contains a clade (C,D,G) that does not exist and omits one that does (E,F,G). Both runs return a fully resolved Newick string of the same shape. Only the support values tell them apart, and the false clade is the lowest-supported one in the tree.

What it reports that a Newick string cannot

  • Conflicting clades: groupings the data support at ≥0.70 that are absent from the reported tree. A support-annotated Newick string has nowhere to put them.
  • fraction_resolved: the share of clades clearing 0.70. The headline number, before any single grouping is repeated as fact.
  • Model runners-up with ΔAIC, not just a winner. On the 300-site alignment above, simulated under JC, the AIC winner is not JC (TPM2u and TPM2 tie), and several models, JC among them at ΔAIC 0.7, sit inside the conventional ±2 margin (seed=1, piqtree 0.8.3).
  • Length versus evidence: n_parsimony_informative alongside n_sites. A 10,000-site alignment of near-identical sequences supports nothing.

Tools

ToolWhat it does
infer_treeML tree plus bootstrap support (nonparametric or UFBoot2), per clade.
select_substitution_modelRanks 100+ models with ΔAIC/AICc/BIC, and says when the criteria disagree.
compare_treesRobinson–Foulds distance and the clades that differ. Compares splits, not strings.
simulate_alignmentGenerates sequences along a tree you specify: the positive control.
align_sequencesAligns unaligned FASTA with MAFFT, inline or to a new file (out_path).
map_positionsMaps a residue to its alignment column, and that column to every other sequence.
capabilitiespiqtree and IQ-TREE versions, 215 substitution models, MAFFT version, limits.

Tools that take FASTA or Newick also take a file path (fasta_path, or trees_path for two trees), read by the server; a relative path resolves against the server's working directory.

The tests run real IQ-TREE and real MAFFT (no mocked engine), with 23 mutation checks and a real-process JSON-RPC handshake test.

Install

bash
pip install phylokit-mcp

Requires Python 3.12+. IQ-TREE 3 comes through piqtree 0.8, which builds it into its wheel. align_sequences also needs the MAFFT binary on PATH, as does map_positions on unaligned input; the other tools work without it. Details: docs/INSTALL.md.

Configure your MCP client

json
{  "mcpServers": {    "phylokit": {      "command": "uvx",      "args": ["phylokit-mcp"]    }  }}

If uvx picks a Python older than 3.12, use "args": ["--python", "3.12", "phylokit-mcp"].

What the benchmark shows

Claude with the server was compared with Claude writing Python in an environment we set up with piqtree, cogent3 and MAFFT, on 38 phylogenetics questions, 3 runs each. A tie means the server matches that result without you building the environment. Questions right in every run, server against Python: Claude Haiku 5.5 34 against 37, Sonnet 5.5 37 against 35, Opus 5.5 36 against 35 (on the commit that takes file paths). None is separated (pre-registered; Holm-adjusted McNemar p = 0.75 on both Haiku and Sonnet). The server cost about the same as Python on Haiku and more on Sonnet (1.23×) and Opus (1.26×).

[Bar chart of 114 answers per setup (38 questions, 3 runs each). Claude alone: 114 declined. Read only: 76 right, 24 wrong, 12 declined, 2 invalid. Python, MAFFT and web: 113 right, 1 invalid. phylokit-mcp: 110 right, 4 wrong.]

The chart is the first Opus 5.5 run, on a release that took the data as text. Counting answers, the server got 110 of 114 right and Python 113; counting questions, 36 of 38 were right in every run against 37 (sign test p = 1). Per question the server took 6.0 times as long (95% CI 4.4 to 8.3) and cost 14.4 times as much (9.9 to 20.2), each a geometric mean of per-question ratios. Most of that cost was the model pasting the data file into tool calls; taking file paths (pre-registered re-run, 2026-10-18) brought it down to 1.26 times (1.04 to 1.55).

We wrote the questions and ran the benchmark ourselves; an outside re-run is welcome. The benchmark does not score support values; method, controls and other limitations are in benchmarks/agent_qa; the Haiku and Sonnet runs: 2026-10-20 re-run.

Reproducibility

Not bit-exact, in any setting: IQ-TREE reads the wall clock during its search, so the same request and seed can differ in the trailing digits of branch lengths and log-likelihood, and a support value can move: by about 0.05 (a replicate flipping) for the nonparametric bootstrap, and by no fixed bound for UFBoot2, whose replicates IQ-TREE draws inside the search (one clade moved 0.16 across six calls on one machine). The server reports deterministic_across_processes: false and the drift bound for the method used, null for UFBoot2. Compare trees with compare_trees and numbers with a tolerance, never by string equality. Measurements: docs/REPRODUCIBILITY.md.

Limitations

  • Nucleotide and protein, no codon models. Pass sequence_type="protein" and a protein model (LG, WAG, …). The molecule type is declared, never sniffed: an A/C/G/T-only alignment is also valid protein (Ala/Cys/Gly/Thr), and a wrong guess returns a wrong tree, likelihood and support with no warning.
  • Two bootstraps, no aLRT or approximate Bayes. The default is the nonparametric bootstrap (Felsenstein 1985), computed here, clades supported at 0.70; it is the only one that reports well-supported clades missing from the ML tree. support_method="ufboot" is IQ-TREE's UFBoot2 (Hoang et al. 2018), clades supported at 0.95.
  • Nonparametric cost is linear in replicates, each a full ML search: on 89 taxa x 435 sites one replicate took 25-93 s, and 1000 UFBoot2 replicates 83 s. Capped at 200 taxa, 1000 nonparametric and 10000 UFBoot2 replicates. Every tool sends a progress notification every 15 s, so a client idle timeout does not abort a long call.
  • Alignment is MAFFT --auto, single-threaded, and nothing else: no strategy choice, profile alignment or trimming; at most 200 sequences of 100,000 residues and 600 s. Gapped input is refused, not degapped. The tree tools refuse ragged input rather than align it.
  • Unrooted trees. No rooting, dating or ancestral reconstruction.

License

GPL-2.0-only, because piqtree is GPL-2.0-only, which is incompatible with GPL-3.0. cogent3 is BSD.

If you publish results from this server, cite IQ-TREE 3, piqtree and (when it made the alignment) MAFFT, not this wrapper. The references are in CITATION.cff, and licensing and affiliation are in NOTICE.

来源:README.md,提交 0c4330b

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

8
  1. v0.9.0最新Nov 7, 2026
  2. v0.8.1Nov 6, 2026
  3. v0.8.0Oct 29, 2026
  4. v0.7.0Oct 20, 2026
  5. v0.6.0Sep 26, 2026
  6. v0.5.1Sep 23, 2026
  7. v0.5.0Sep 19, 2026
  8. v0.4.0Sep 16, 2026

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