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💡 Description
An implementation of a Model Context Protocol (MCP) server that provides vector database capabilities through Chroma. This server enables semantic document search, metadata filtering, and persistent document management.
📝 JSON Entries
{
"mcpServers": [
{
"chroma": {
"args": [
"--directory",
"C:/MCP/server/community/chroma",
"run",
"chroma"
],
"command": "uv"
}
}
]
}🛠️ Tools
CRUD operations for document managementMCP tools for server interaction
⚡ Features
- Semantic search based on document meaning using Chroma embeddings
- Metadata filtering for search results
- Content filtering based on document content
- Persistent data storage in local directory
- Comprehensive error handling with clear messages
- Automatic retries for transient failures
💬 Example Queries
- Create a document create_document({ 'document_id': 'ml_paper1', 'content': 'Convolutional neural networks improve image recognition accuracy.', 'metadata': { 'year': 2020, 'field': 'computer vision', 'complexity': 'advanced' } })
- Search similar documents search_similar({ 'query': 'machine learning models', 'num_results': 2, 'metadata_filter': { 'year': 2020, 'field': 'computer vision' } })