We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/florenciakabas/xai-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
# scenarios/rag/knowledge_base_loads.yaml
# Phase: RAG augmentation
# Prerequisite: knowledge/ directory contains at least one .md document
#
# This scenario validates that the knowledge module can parse markdown
# documents into searchable chunks with proper metadata.
scenario: "Business knowledge base loads and is searchable"
phase: rag-augmentation
given:
knowledge_dir: "knowledge/"
documents:
- "clinical_protocol.md"
when:
system_loads_knowledge_base: true
then:
# Document parsing
- documents_parsed_into_chunks: true
- each_chunk_has_field: "text"
- each_chunk_has_field: "source_document"
- each_chunk_has_field: "section_heading"
- chunk_count_greater_than: 3
# Search functionality
- search_for: "biopsy"
- search_returns_relevant_chunks: true
- top_result_mentions: "biopsy"
# Metadata integrity
- each_chunk_has_field: "document_id"
- each_chunk_has_field: "chunk_index"