70
/100
B
◉ Complete 5⁄5
ChromaDB MCP Server
An MCP server that exposes ChromaDB vector database operations, enabling AI assistants to perform collection management and semantic document searches. It supports HTTP, persistent, and in-memory connection modes along with various embedding providers including OpenAI and HuggingFace.
ChromaDB
Hugging Face
OpenAI
Glama
MCP Surface
Tools: 9
Template Description
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
63
25% weight
Protocol Compliance
82
20% weight
Reliability
—
20% weight
Docs & Maintenance
21
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
90
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 70 | Good |
| Description Quality | 90 | Good |
| Documentation Coverage | 30 | Poor |
| Maintenance Pulse | 25 | Poor |
| Dependency Health | 30 | Poor |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 1 month ago
Protocol Compliance
Schema Issues (18)
create_collection.name: missing description
create_collection.metadata: missing description
create_collection.embedding_config: missing description
add_documents.collection_name: missing description
add_documents.documents: missing description
query_collection.collection_name: missing description
query_collection.query_texts: missing description
query_collection.query_embeddings: missing description
query_collection.n_results: missing description
query_collection.where: missing description
query_collection.where_document: missing description
delete_documents.collection_name: missing description
delete_documents.document_ids: missing description
get_document.collection_name: missing description
get_document.document_id: missing description
... and 3 more
Probed 1 month ago
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