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[CHORE]: Move data_analysis_server to mcp-servers/python/data_analysis_server

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
72/100
Issue type
Refactor
Clarity
Clearly specified
Activity status
Active
Tech stack
matplotlib, numpy, pandas, python
Domain
backend, ci-cd, data

Research direction

Compare the source tree at IBM/mcp-context-forge with the target mcp-servers/python/data_analysis_server/ path, including pyproject.toml, tests/, README.md, and CI configuration. Install it with pip install -e mcp-servers/python/data_analysis_server, run the existing tests, and verify that lint and test CI covers the server and the README reflects its new home.

Written by the indexing model from the issue text.

Description

Summary

Move the data_analysis_server MCP server from the mcp-context-forge monorepo into this repository at mcp-servers/python/data_analysis_server/, as part of the MCP server migration tracked in IBM/mcp-context-forge#6228.

What to move

Copy the contents of mcp-servers/python/data_analysis_server/ from IBM/mcp-context-forge verbatim:

mcp-servers/python/data_analysis_server/
├── Containerfile
├── Makefile
├── README.md
├── config.yaml
├── examples/
├── pyproject.toml
├── requirements.txt
├── sample_data/
├── src/
│   └── data_analysis_server/
└── tests/

Dependencies (as-is)

From pyproject.toml:

mcp>=1.28.1,<2
matplotlib>=3.11.1
numpy>=2.5.1
pandas>=3.0.5
...

The server is moved as-is. Version constraint updates are tracked separately (see sub-issues).

Acceptance criteria

  • Server lands at mcp-servers/python/data_analysis_server/ in this repository
  • pyproject.toml is present and installable (pip install -e mcp-servers/python/data_analysis_server)
  • Existing tests pass
  • CI covers the server (lint + test)
  • README updated to reflect new home

References

Dominant language
Python
Stars
1
Forks
1
Avg merge
1h 13m
Merged PRs (30d)
8

Getting set up

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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