Enables LLMs to search and retrieve information from large technical documentation (OpenAPI specs, markdown) via intelligent chunking and semantic search.
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process.env. You'll be asked to provide them before it can run.OPENAPI_SPECS_DIR— /path/to/your/openapi/specsSKIP_HIDDEN_FILESLOG_PROCESSING_PROGRESSMARKDOWN_MAX_TOKENSVECTOR_STORE_DIR— ./data/vectorstoreEMBEDDING_DEVICE— mps # mps, cpu, cudaMAX_TOKENS— Maximum tokens per chunk 8192API_INDEX_PATH— ./data/api_index.jsonMCP_SERVER_NAME— Knowledge ServerMCP_SERVER_HOST— MCP server host localhostMCP_SERVER_PORT— MCP server port 8000RETRIEVAL_MAX_PRIMARY_RESULTS— Max primary search results 5RETRIEVAL_MAX_TOTAL_CHUNKS— Max total chunks retrieved 15RETRIEVAL_MAX_DEPTH— Max reference expansion depth 3RETRIEVAL_TIMEOUT_MS— Retrieval timeout in milliseconds 5000CONTEXT_TOKEN_LIMITCONTEXT_PRIORITIZE_PRIMARYCHUNK_FILTERING_OVERSAMPLE_MULTIPLIERCHUNK_FILTERING_LLM_TIMEOUT_MSRERANKER_LLM_PROVIDERRERANKER_LLM_REGIONRERANKER_LLM_TEMPERATURERERANKER_LLM_MAX_TOKENSRESEARCH_AGENT_LLM_MAX_TOKENSRESEARCH_AGENT_LLM_RETRY_MAX_ATTEMPTSCHUNK_FILTERING_LLM_RETRY_MAX_ATTEMPTSMIN_OPENAPI_VERSIONREQUIRE_INFO_SECTIONREQUIRE_PATHS_OR_COMPONENTS[](https://m8ven.ai/mcp/bwarzecha-knowledge-server-afgefl)