scikitplot.mcp#

Composable documentation retrieval for Model Context Protocol servers.

The default import surface remains independent of the MCP SDK and optional corpus/vector dependencies. Call create_server only when the stable mcp>=2,<3 server dependency is installed. No models, indexes, files, or network connections are opened at import time.

User guide. See the Model Context Protocol (MCP) section for further details.

MCP: Model Context Protocol#

User guide. See the Model Context Protocol (MCP) section for further details.

Class inheritance

Inheritance diagram of DocsRetriever, RetrievedChunk, InMemoryBm25Retriever, Bm25Retriever, CorpusAnnoyRetriever, HybridRetriever

`DocsRetriever`	Structural contract every retrieval backend must satisfy.
`RetrievedChunk`	One retrieved passage with the metadata needed to cite it.
`InMemoryBm25Retriever`	A compact BM25 implementation suitable for demos and small corpora.
`Bm25Retriever`	Lexical retriever (FTS/BM25) leg backed by a full-text search seam.
`CorpusAnnoyRetriever`	Docs dense retriever backed by an embedder + a vector index + a document lookup.
`HybridRetriever`	Fuse several retrievers into one via Reciprocal Rank Fusion.
`build_search_docs_result`	Format retrieval results as an MCP `tools/call` response with citations.
`builtin_demo_retriever`	Return a tiny corpus that explains the sample's own mechanism.
`create_server`	Lazily import and create the MCP SDK v2 server.
`reciprocal_rank_fusion`	Fuse weighted ranked lists into a single `key -> score` map.