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anands-bounteous

Log Intelligence MCP

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RRF_KNoReciprocal Rank Fusion constant (default 60)60
LOG_JSONNoSet to true for JSON logging
LOG_LEVELNoLogging level (e.g. DEBUG, INFO)
EMBED_MODELNoEmbedding model name (e.g. all-mpnet-base-v2)
SI_DATA_DIRNoShared directory for logs, vector store, and metadata. Default is ./si_data./si_data
DENSE_WEIGHTNoWeight for dense retrieval in RRF fusion
DEFAULT_TOP_KNoDefault top-k for query_logs
EMBED_BACKENDNoEmbedding backend: auto, sentence-transformers, bedrock, or hashingauto
MCP_HTTP_HOSTNoHost for HTTP transport
MCP_HTTP_PORTNoPort for HTTP transport (default 8081)8081
SPARSE_WEIGHTNoWeight for sparse retrieval in RRF fusion
CANDIDATE_POOLNoNumber of candidate chunks retrieved before fusion
VECTOR_BACKENDNoVector store backend: auto, chroma, or numpyauto
CHUNK_MAX_TOKENSNoMaximum tokens per chunk (capped at 1600)1600
CHUNK_MIN_TOKENSNoMinimum tokens per chunk
CHUNK_TARGET_TOKENSNoTarget tokens per chunk (approximately 1000)1000
CHUNK_OVERLAP_TOKENSNoNumber of tokens of overlap between chunks (~150)150
USE_ANTHROPIC_TOKENIZERNoSet to 1 to use exact Claude token counts

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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