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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.

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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):

Sites Informative sites Recovered the true tree? Lowest clade support
300 51 yes, exactly 1.00
60 11 no, RF 2 0.57

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.

Does it help?

Not yet. In our benchmark Claude was no more accurate with this server than with a Python shell, and the server cost more. Taking files by path closed most of the cost gap, but not all of it.

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.

Claude Opus 5.5 answered 38 questions 3 times each. Counting answers, as the chart does, the server got 110 of 114 right and a Python shell with piqtree and MAFFT got 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. In a pre-registered re-run of an unreleased commit that takes file paths (2026-10-18), the server cost 1.26 times as much (1.04 to 1.55) and got 36 of 38 questions right in every run against Python's 35: a tie, not a win.

The benchmark does not score support values; method, controls and other limitations are in benchmarks/agent_qa.

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

Tool What it does
infer_tree ML tree plus bootstrap support, per clade.
select_substitution_model Ranks 100+ models with ΔAIC/AICc/BIC, and says when the criteria disagree.
compare_trees Robinson–Foulds distance and the clades that differ. Compares splits, not strings.
simulate_alignment Generates sequences along a tree you specify: the positive control.
align_sequences Aligns unaligned FASTA with MAFFT; the output goes straight into infer_tree.
map_positions Maps a residue to its alignment column, and that column to every other sequence.
capabilities piqtree 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

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

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

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

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 a replicate flipping. The server reports deterministic_across_processes: false. 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.
  • Bootstrap only: no aLRT, approximate Bayes or UFBoot. Support is the nonparametric bootstrap (Felsenstein 1985), computed here because piqtree 0.8.3 runs bootstrap_replicates but does not expose the values.
  • Cost is linear in replicates, each a full ML search. Capped at 200 taxa and 1000 replicates.
  • 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.

Metadata

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