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FEGIS

FEGIS

Public
p-funk/FEGIS

Semantic tool-building framework and compiler leveraging the Model Context Protocol to transform YAML archetypes into schema-validated, reusable LLM interfaces with hybrid memory for persistent, semantically rich knowledge graph exploration.

python
0 tools
May 30, 2025
Updated Jun 4, 2025

Supercharge Your AI with FEGIS

MCP Server

Unlock the full potential of FEGIS through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.

Unified API Access
Complete Tracing
Instant Setup
Get Started Now

Free tier available • No credit card required

Instant Setup
99.9% Uptime
10,000+Monthly Requests
Configuration Requirements
API Key
Configure authentication and required variables to access this MCP server
Required Environment Variables
QDRANT_API_KEY
Optional
string

API key for Qdrant if required

COLLECTION_NAME
Optional
string

Name of the collection in Qdrant

Default: fegis
CONFIG_PATH
Optional
string

Path to your FEGIS configuration YAML file

FAST_EMBED_MODEL
Optional
string

Embedding model to use

Default: nomic-ai/nomic-embed-text-v1.5
QDRANT_URL
Optional
string

URL of the Qdrant vector database

Default: http://localhost:6333

Security Notice

Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.

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