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Glama
humbertolvarona

opencode-document-rag-mcp

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_documentsA

List supported documents under DOCS while excluding DOCS/mdDB.

ingest_documentA

Convert one DOCS document to Markdown with Marker and index its structural chunks.

ingest_all_documentsC

Synchronize supported DOCS documents, excluding the mdDB output directory.

search_documentsC

Search ChromaDB and return complete Markdown sections containing nearby tables and LaTeX equations.

read_markdown_sectionB

Read one complete section from the stored Markdown by its breadcrumb path.

index_statusA

Show indexed documents, Markdown paths, and chunk counts.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: listing documents, ingesting a single document, ingesting all documents, searching, reading a section, and checking index status. The only potential overlap (ingest_document vs. ingest_all_documents) is clearly resolved by singular vs. plural scope, leaving no ambiguity for an agent.

Naming Consistency4/5

Most tools follow a verb_noun pattern (list_, ingest_, search_, read_), but 'index_status' deviates by starting with a noun. Despite this minor inconsistency, all names are lowercase, underscore-separated, and self-descriptive, so the pattern remains predictable.

Tool Count5/5

With only 6 tools, the server is well-scoped for a document RAG system. Each tool addresses a distinct step in the workflow—discovery, ingestion (single and bulk), retrieval, reading, and status monitoring—without redundancy or excess.

Completeness4/5

The surface covers the core lifecycle: listing available documents, ingesting new ones (single or all), searching indexed content, reading specific sections, and checking index status. Missing delete/update operations are minor gaps since the server focuses on additive indexing and retrieval, which is acceptable for its purpose.

Maintenance

ActivityMaintained
ResponsivenessNo issues