lore-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LORE_MODEL | No | Embedding model name | BAAI/bge-m3 |
| LORE_API_URL | No | Remote /v1/embeddings URL (required if mode=api) | |
| LORE_DB_PATH | No | SQLite database file path | ./lore.db |
| LORE_API_MODEL | No | Model name for remote API (default: same as LORE_MODEL) | |
| LORE_EMBED_MODE | No | Mode: auto, gpu, api, cpu | auto |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_docsA | Semantic search over indexed documents. Returns the most relevant passages for the given query, with similarity scores and source files. In multi-collection mode, specify a collection name or leave empty to search across all collections. |
| list_indexed_sourcesA | List all indexed files with chunk counts. In multi-collection mode, specify a collection name or leave empty to list sources across all collections. |
| list_collectionsA | List available collections with chunk and file counts. Only available in multi-collection mode (LORE_DB_DIR set). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clear, distinct purpose: search_docs performs semantic search, list_indexed_sources lists indexed files, and list_collections lists collections. No functional overlap or ambiguity.
All tool names follow a consistent verb_noun pattern in snake_case: search_docs, list_indexed_sources, list_collections. The naming is uniform and predictable.
Three tools is well-scoped for a documentation retrieval server, covering search and listing operations without unnecessary bloat.
The core retrieval workflows are covered: searching documents, listing sources, and listing collections. Minor gaps exist, such as retrieving a full document by ID, but the surface is reasonably complete for a search-focused server.