Enables AI agents to search Nokia product documentation with hybrid BM25+vector search and return section-precise deep-link citations.
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process.env. You'll be asked to provide them before it can run.DOCS_EMBED_MODEL— Query-side embedding model (must match the corpus vectors) BAAI/bge-small-en-v1.5DOCS_EMBED_DIMDOCS_EMBED_CACHE— Where the query-side embedding model is cached in-container (baked into the image at build time) /app/shared/modelsDOCS_DATABASE_URL— DSN of the ParadeDB docs-db (defaults to the bundled docs-db service) postgresql://mcp:mcp@docs-db:5432/docsDOCS_EMBED_PARALLELDOCS_EMBED_SHARDDOCS_EMBED_FLUSHOMP_NUM_THREADSOPENBLAS_NUM_THREADSDOCS_HYBRID— Enable the vector half of the hybrid (0/false = BM25/FTS only) 1DATABASE_URLDOCS_NSP_VERSION— NSP documentation version to resolve for product="nsp" 26-4DOCS_VERSIONDOCS_SROS_VERSION— SR OS / TiMOS documentation version for product="sros" 26-3[](https://m8ven.ai/mcp/yrafique-mcp-docs-aa9ic2)