shelfmark
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| RAG_DIM | No | Embedding dimension. Default: 384 | 384 |
| RAG_HOME | No | Data dir (index, sources.yaml). Default: ~/.shelfmark | ~/.shelfmark |
| RAG_QLOG | No | Local query telemetry (powers report.py). Default: off | off |
| RAG_MODEL | No | Embedding model. Default: e5-small | e5-small |
| RAG_BM25_WEIGHT | No | BM25 weight; >1 favors lexical match. Default: 1.5 | 1.5 |
| RAG_CODE_RERANK | No | bge-reranker-v2-m3 for code scopes (+4.9pp, ~2.2GB). Default: off | off |
| RAG_RERANK_AUTO | No | Rerank weak/ambiguous queries. Default: on | on |
| RAG_KNOWLEDGE_SCOPE | No | Configures cross-project search scope for durable knowledge. |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| rag_queryA | Hybrid semantic + BM25 search over the user's configured corpus: notes, docs, repo docs + README + CHANGELOG, recent git commits, session transcripts, and source code (TS/JS/Python/Shell) from the configured repos. Returns top-K chunks with path:line + symbol + repo citations. Auto-scopes to the current repo when cwd is inside one — pass scope_repos=['all'] to disable. Use instead of grep for fuzzy or cross-file recall. |
| search_knowledgeA | Semantic search over the knowledge layer — durable notes and decisions: memory notes, ADRs, plans, session handoffs, and standards (NOT source code or git commits). Cross-project by design (searches all repos, no cwd auto-scoping). Use for 'what did we decide / is there a note about X / did we hit this before'. For source-code or git-commit recall, use rag_query instead. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/LucasSantana-Dev/shelfmark'
If you have feedback or need assistance with the MCP directory API, please join our Discord server