Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
EMBED_MODELNoThe embedding model to usetext-embedding-3-large
FINRAG_ROLENoThe role for RBAC access controlEMPLOYEE
OPENAI_MODELNoThe OpenAI model to usegpt-4o-mini
OPENAI_API_KEYYesYour OpenAI API key
QDRANT_LOCAL_PATHNoThe local path for Qdrant vector database.qdrant_local
QDRANT_COLLECTION_PREFIXNoThe prefix for Qdrant collectionsfinrag

Capabilities

Features and capabilities supported by this server

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

Tools

Functions exposed to the LLM to take actions

NameDescription
set_roleB

Set the active role for this MCP session. Returns the domains the role can access.

list_filesA
List files under data/<domain>, RBAC-enforced.
Returns relative paths from repo root.
read_fileC

Read a text-like file relative to repo root, RBAC-enforced by folder domain.

searchA
RBAC-aware vector search across allowed domains/collections.
Args:
  query: natural language query
  top_k: number of results to return
  include_general: include 'general' alongside role-specific domains
Returns a list of hits with:
  score, collection, domain, source, title, doc_type, tags, chunk_id, snippet

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

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/Nithishkaranam2002/Finrag--mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server