mcp-oeis
MCP server for the OEIS (Online Encyclopedia of Integer Sequences) API
mcp-name: io.github.daedalus/mcp-oeis
Install
pip install mcp-oeis
Usage
As an MCP Server
Configure in your MCP settings:
{
"mcpServers": {
"mcp-oeis": {
"command": "mcp-oeis"
}
}
}
Python API
from mcp_oeis import mcp
# Get a sequence by ID
result = mcp.get_sequence_by_id("A000109")
print(result["terms"]) # [1, 1, 1, 2, 5, 14, ...]
# Search by terms
results = mcp.search_by_terms([1, 1, 2, 3, 5, 8])
print(results[0]["name"]) # "Fibonacci numbers"
# Search by name
results = mcp.search_by_name("prime")
print(results[0]["id"]) # "A000040"
MCP Tools
get_sequence_by_id
Get a sequence by its OEIS ID (e.g., "A000109" for simplicial polyhedra, "A000045" for Fibonacci).
search_by_terms
Search OEIS sequences by providing integer terms. For example, searching [1,1,2,3,5,8] will find the Fibonacci sequence.
search_by_name
Search OEIS sequences by name or keyword. For example, searching "Fibonacci" will find Fibonacci-related sequences.
Development
git clone https://github.com/daedalus/mcp-oeis.git
cd mcp-oeis
pip install -e ".[test]"
# run tests
pytest
# format
ruff format src/ tests/
# lint
ruff check src/ tests/
# type check
mypy src/
Release files for mcp-oeis 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcp_oeis-0.1.0.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcp_oeis-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.6 kB
Release files / mcp_oeis-0.1.0.tar.gz
| Download URL | mcp_oeis-0.1.0.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / mcp_oeis-0.1.0-py3-none-any.whl
| Download URL | mcp_oeis-0.1.0-py3-none-any.whl |
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| Size | 6.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Mar 28, 2026.
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