docs: update cognee, jetbrains, mbot extensions config (#5172)
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@@ -7,7 +7,7 @@ import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import CLIExtensionInstructions from '@site/src/components/CLIExtensionInstructions';
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This tutorial covers how to add the [Cognee MCP Server](https://github.com/topoteretes/cognee) as a Goose extension to enable knowledge graph memory capabilities, connecting to over 30 data sources for enhanced context and retrieval.
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This tutorial covers how to add the [Cognee MCP Server](https://github.com/topoteretes/cognee/tree/main/cognee-mcp) as a Goose extension to enable knowledge graph memory capabilities, connecting to over 30 data sources for enhanced context and retrieval.
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:::tip TLDR
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**Command**
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@@ -17,7 +17,6 @@ uv --directory /path/to/cognee-mcp run python src/server.py
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**Environment Variables**
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```
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LLM_API_KEY: <YOUR_OPENAI_API_KEY>
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EMBEDDING_API_KEY: <YOUR_OPENAI_API_KEY>
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```
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:::
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@@ -34,7 +33,7 @@ Note that you'll need [uv](https://docs.astral.sh/uv/#installation) installed on
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```bash
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# Clone and install Cognee
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git clone https://github.com/topoteretes/cognee
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cd cognee-mcp
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cd cognee/cognee-mcp
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uv sync --dev --all-extras --reinstall
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# On Linux, install additional dependencies
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@@ -153,7 +152,7 @@ goose configure
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8. Add the required environment variables:
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:::info
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You'll need OpenAI API keys for both LLM and embedding models. [Get your API keys here](https://platform.openai.com/api-keys).
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You'll need an API key for your LLM provider. By default, this is an [OpenAI API key](https://platform.openai.com/api-keys).
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:::
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```sh
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@@ -188,15 +187,6 @@ You'll need OpenAI API keys for both LLM and embedding models. [Get your API key
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│ ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪
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│
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◇ Add another environment variable?
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│ Yes
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│
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◇ Environment variable name:
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│ EMBEDDING_API_KEY
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│
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◇ Environment variable value:
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│ ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪
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│
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◇ Add another environment variable?
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│ No
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// highlight-end
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└ Added Cognee extension
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@@ -205,6 +195,10 @@ You'll need OpenAI API keys for both LLM and embedding models. [Get your API key
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</TabItem>
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</Tabs>
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:::info
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See the [Cognee MCP documentation](https://docs.cognee.ai/how-to-guides/deployment/mcp) for supported configuration options.
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:::
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## Example Usage
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Cognee provides knowledge graph memory capabilities for Goose, allowing it to remember and connect information across conversations and documents.
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