Inkeep
RAG Search over your content powered by Inkeep
mcp-server-python
Inkeep MCP Server powered by your docs and product content.
Dependencies
Local Setup
git clone https://github.com/inkeep/mcp-server-python.git
cd mcp-server-python
uv venv
uv pip install -r pyproject.toml
Note the full path of the project, referred to as <YOUR_INKEEP_MCP_SERVER_ABSOLUTE_PATH> in a later step.
Get an API key
- Log in to the Inkeep Dashboard
- Navigate to the Projects section and select your project
- Open the Integrations tab
- Click Create Integration and choose API from the options
- Enter a Name for your new API integration.
- Click on Create
- A generated API key will appear that you can use to authenticate API requests.
We'll refer to this API key as the <YOUR_INKEEP_API_KEY> in later steps.
Add to your MCP client
Follow the steps in this guide to setup Claude Dekstop.
In your claude_desktop_config.json file, add the following entry to mcpServers.
{
"mcpServers": {
"inkeep-mcp-server": {
"command": "uv",
"args": [
"--directory",
"<YOUR_INKEEP_MCP_SERVER_ABSOLUTE_PATH>",
"run",
"-m",
"inkeep_mcp_server"
],
"env": {
"INKEEP_API_BASE_URL": "https://api.inkeep.com/v1",
"INKEEP_API_KEY": "<YOUR_INKEEP_API_KEY>",
"INKEEP_API_MODEL": "inkeep-rag",
"INKEEP_MCP_TOOL_NAME": "search-product-content",
"INKEEP_MCP_TOOL_DESCRIPTION": "Retrieves product documentation about Inkeep. The query should be framed as a conversational question about Inkeep."
}
},
}
}
You may need to put the full path to the uv executable in the command field. You can get this by running which uv on MacOS/Linux or where uv on Windows.
Server Terkait
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arXiv Research Assistant
Interact with the arXiv.org paper database. Supports keyword search, paper lookups, author searches, and trend analysis.
Splunk
Interact with Splunk Enterprise/Cloud using natural language queries.
Unified Search MCP Server
Provides unified search capabilities across Google Scholar, Google Web Search, and YouTube.
ArtistLens
Access the Spotify Web API to search and retrieve information about tracks, albums, artists, and playlists.
MCP RAG
A managed Retrieval-Augmented Generation (RAG) server using MCP, integrated with knowledge bases and OpenSearch.