@@ -4,15 +4,15 @@ build-backend = "setuptools.build_meta"
44
55[project ]
66name = " vector-mcp"
7- version = " 1.1.32 "
7+ version = " 1.1.33 "
88description = " Integrate RAG into AI Agents via MCP Server. Supports multiple Vector database technologies."
99readme = " README.md"
1010authors = [{ name = " Audel Rouhi" , email = " knucklessg1@gmail.com" }]
1111license = { text = " MIT" }
1212classifiers = [ " Development Status :: 5 - Production/Stable" , " License :: Public Domain" , " Environment :: Console" , " Operating System :: POSIX :: Linux" , " Programming Language :: Python :: 3" ]
1313requires-python = " >=3.10"
1414dependencies = [
15- " agent-utilities[embeddings-openai,mcp]>=0.2.14 " ,
15+ " agent-utilities[embeddings-openai,mcp]>=0.2.15 " ,
1616 " chromadb>=1.5.1" ,
1717 " markdownify>=1.2.2" ,
1818 " beautifulsoup4>=4.14.3" ,
@@ -50,9 +50,9 @@ huggingface = [
5050 " llama-index-embeddings-huggingface>=0.6.1" ,
5151 " sentence_transformers>=5.2.2" ]
5252agent = [
53- " agent-utilities[agent,logfire]>=0.2.14 " ]
53+ " agent-utilities[agent,logfire]>=0.2.15 " ]
5454all = [
55- " vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.32 "
55+ " vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.33 "
5656]
5757
5858[project .scripts ]
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