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Enhance README.md with quick start guide for clients (#394)

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Enhance README.md with quick start guide for clients and update environment variable instructions. Update uv.lock to reflect package version changes and add new dependencies. Notable updates include bumping graphiti-core to 0.10.5 and adding graph-service as a dependency.
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111
mcp_server/README.md
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@ -21,6 +21,30 @@ The Graphiti MCP server exposes the following key high-level functions of Graphi
- **Group Management**: Organize and manage groups of related data with group_id filtering
- **Graph Maintenance**: Clear the graph and rebuild indices
## Quick Start for Claude Desktop, Cursor, and other clients
1. Clone the Graphiti GitHub repo
```bash
git clone https://github.com/getzep/graphiti.git
```
or
```bash
gh repo clone getzep/graphiti
```
Note the full path to this directory.
```
cd graphiti && pwd
```
2. Install the [Graphiti prerequisites](#prerequisites).
3. Configure Claude, Cursor, or other MCP client to use [Graphiti with a `stdio` transport](#integrating-with-mcp-clients). See the client documentation on where to find their MCP configuration files.
## Installation
### Prerequisites
@ -94,25 +118,25 @@ Before running the Docker Compose setup, you need to configure the environment v
1. **Using a .env file** (recommended):
- Copy the provided `.env.example` file to create a `.env` file:
```bash
cp .env.example .env
```
- Edit the `.env` file to set your OpenAI API key and other configuration options:
```
# Required for LLM operations
OPENAI_API_KEY=your_openai_api_key_here
MODEL_NAME=gpt-4.1-mini
# Optional: OPENAI_BASE_URL only needed for non-standard OpenAI endpoints
# OPENAI_BASE_URL=https://api.openai.com/v1
```
- The Docker Compose setup is configured to use this file if it exists (it's optional)
- Copy the provided `.env.example` file to create a `.env` file:
```bash
cp .env.example .env
```
- Edit the `.env` file to set your OpenAI API key and other configuration options:
```
# Required for LLM operations
OPENAI_API_KEY=your_openai_api_key_here
MODEL_NAME=gpt-4.1-mini
# Optional: OPENAI_BASE_URL only needed for non-standard OpenAI endpoints
# OPENAI_BASE_URL=https://api.openai.com/v1
```
- The Docker Compose setup is configured to use this file if it exists (it's optional)
2. **Using environment variables directly**:
- You can also set the environment variables when running the Docker Compose command:
```bash
OPENAI_API_KEY=your_key MODEL_NAME=gpt-4.1-mini docker compose up
```
- You can also set the environment variables when running the Docker Compose command:
```bash
OPENAI_API_KEY=your_key MODEL_NAME=gpt-4.1-mini docker compose up
```
#### Neo4j Configuration
@ -151,23 +175,33 @@ This will start both the Neo4j database and the Graphiti MCP server. The Docker
To use the Graphiti MCP server with an MCP-compatible client, configure it to connect to the server:
> [!IMPORTANT]
> You will need the Python package manager, `uv` installed. Please refer to the [`uv` install instructions](https://docs.astral.sh/uv/getting-started/installation/).
>
> Ensure that you set the full path to the `uv` binary and your Graphiti project folder.
```json
{
"mcpServers": {
"graphiti": {
"transport": "stdio",
"command": "uv",
"command": "/Users/<user>/.local/bin/uv",
"args": [
"run",
"/ABSOLUTE/PATH/TO/graphiti_mcp_server.py",
"--isolated",
"--directory",
"/Users/<user>>/dev/zep/graphiti/mcp_server",
"--project",
".",
"graphiti_mcp_server.py",
"--transport",
"stdio"
],
"env": {
"NEO4J_URI": "bolt://localhost:7687",
"NEO4J_USER": "neo4j",
"NEO4J_PASSWORD": "demodemo",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"NEO4J_PASSWORD": "password",
"OPENAI_API_KEY": "sk-XXXXXXXX",
"MODEL_NAME": "gpt-4.1-mini"
}
}
@ -188,31 +222,6 @@ For SSE transport (HTTP-based), you can use this configuration:
}
```
Or start the server with uv and connect to it:
```json
{
"mcpServers": {
"graphiti": {
"command": "uv",
"args": [
"run",
"/ABSOLUTE/PATH/TO/graphiti_mcp_server.py",
"--transport",
"sse"
],
"env": {
"NEO4J_URI": "bolt://localhost:7687",
"NEO4J_USER": "neo4j",
"NEO4J_PASSWORD": "demodemo",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"MODEL_NAME": "gpt-4.1-mini"
}
}
}
}
```
## Available Tools
The Graphiti MCP server exposes the following tools:
@ -233,12 +242,14 @@ The Graphiti MCP server can process structured JSON data through the `add_episod
allows you to automatically extract entities and relationships from structured data:
```
add_episode(
name="Customer Profile",
episode_body="{\"company\": {\"name\": \"Acme Technologies\"}, \"products\": [{\"id\": \"P001\", \"name\": \"CloudSync\"}, {\"id\": \"P002\", \"name\": \"DataMiner\"}]}",
source="json",
source_description="CRM data"
name="Customer Profile",
episode_body="{\"company\": {\"name\": \"Acme Technologies\"}, \"products\": [{\"id\": \"P001\", \"name\": \"CloudSync\"}, {\"id\": \"P002\", \"name\": \"DataMiner\"}]}",
source="json",
source_description="CRM data"
)
```
## Integrating with the Cursor IDE

368
mcp_server/uv.lock generated
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@ -1,5 +1,4 @@
version = 1
revision = 1
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