Add mcp_server/.env

mcp_server/.env

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+# Graphiti MCP Server Environment Configuration
+
+# Neo4j Database Configuration
+# These settings are used to connect to your Neo4j database
+NEO4J_URI=bolt://localhost:7687
+NEO4J_USER=neo4j
+NEO4J_PASSWORD=demodemo
+
+# OpenAI API Configuration
+# Required for LLM operations
+OPENAI_API_KEY=your_openai_api_key_here
+MODEL_NAME=gpt-4.1-mini
+
+# Optional: Only needed for non-standard OpenAI endpoints
+# OPENAI_BASE_URL=https://api.openai.com/v1
+
+# Optional: Group ID for namespacing graph data
+# GROUP_ID=my_project
+
+# Concurrency Control
+# Controls how many episodes can be processed simultaneously
+# Default: 10 (suitable for OpenAI Tier 3, mid-tier Anthropic)
+# Adjust based on your LLM provider's rate limits:
+#   - OpenAI Tier 1 (free): 1-2
+#   - OpenAI Tier 2: 5-8
+#   - OpenAI Tier 3: 10-15
+#   - OpenAI Tier 4: 20-50
+#   - Anthropic default: 5-8
+#   - Anthropic high tier: 15-30
+#   - Ollama (local): 1-5
+# See README.md "Concurrency and LLM Provider 429 Rate Limit Errors" for details
+SEMAPHORE_LIMIT=10
+
+# Optional: Path configuration for Docker
+# PATH=/root/.local/bin:${PATH}
+
+# Optional: Memory settings for Neo4j (used in Docker Compose)
+# NEO4J_server_memory_heap_initial__size=512m
+# NEO4J_server_memory_heap_max__size=1G
+# NEO4J_server_memory_pagecache_size=512m
+
+# Azure OpenAI configuration
+# Optional: Only needed for Azure OpenAI endpoints
+# AZURE_OPENAI_ENDPOINT=your_azure_openai_endpoint_here
+# AZURE_OPENAI_API_VERSION=2025-01-01-preview
+# AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4o-gpt-4o-mini-deployment
+# AZURE_OPENAI_EMBEDDING_API_VERSION=2023-05-15
+# AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME=text-embedding-3-large-deployment
+# AZURE_OPENAI_USE_MANAGED_IDENTITY=false