pip install pipen-mcp

pipen mcp [--transport {stdio,sse,streamable-http}] [--host HOST] [--port PORT]

pipen mcp

pipen mcp --transport sse --host 0.0.0.0 --port 8520

pipen mcp --transport streamable-http --host 0.0.0.0 --port 8520

1. get_namespaces()
   → "delim", "bam", "rnaseq", ...

2. get_processes("delim")
   → RowsBinder (proc): Bind rows of input files
   → ColsBinder (proc): Bind columns of input files

3. get_process("delim", "RowsBinder")
   → Required:
       --in.infiles <list[str]>  Input files
   → Optional:
       --envs.sep <str> (default: '\t')  Separator
       --outdir <str>  Output directory
       ...

4. run_process("delim", "RowsBinder", [
       "--in.infiles", "/tmp/a.csv,/tmp/b.csv",
       "--envs.sep", ",",
       "--outdir", "/tmp/out"
   ])
   → Pipeline output / logs

{
  "servers": {
    "pipen-mcp": {
      "type": "stdio",
      "command": "pipen",
      "args": ["mcp"]
    }
  }
}

{
  "servers": {
    "pipen-mcp": {
      "type": "sse",
      "url": "http://127.0.0.1:8520/sse"
    }
  }
}

# pyproject.toml
[project.entry-points."pipen_cli_run"]
myns = "mypackage.ns.myns"

# mypackage/ns/myns.py
"""My namespace — tools for processing text files."""
from pipen import Proc
from pipen_annotate import annotate

@annotate
class MyProc(Proc):
    """Concatenate rows from multiple files.

    Input:
        infiles (list): Input files to concatenate

    Envs:
        sep (str): Column separator. Default: ","
    """
    input = "infiles:files"
    output = "outfile:file:{{in.infiles[0] | stem}}_concat.tsv"
    script = "..."