Bump version: 1.1.19 → 1.1.20

Author: Knucklessg1

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 1.1.19
+current_version = 1.1.20
 commit = True
 tag = True
 
@@ -15,10 +15,10 @@ replace = Version: {new_version}
 search = vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,a2a]>={current_version}
 replace = vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,a2a]>={new_version}
 
-[bumpversion:file:vector_mcp/vector_agent.py]
+[bumpversion:file:vector_mcp/agent.py]
 search = __version__ = "{current_version}"
 replace = __version__ = "{new_version}"
 
-[bumpversion:file:vector_mcp/vector_mcp.py]
+[bumpversion:file:vector_mcp/mcp.py]
 search = __version__ = "{current_version}"
 replace = __version__ = "{new_version}"

Dockerfile

@@ -54,6 +54,6 @@ ENV HOST=${HOST} \
 RUN apt-get update \
     && apt-get install -y ripgrep tree fd-find curl nano libpq-dev \
     && curl -LsSf https://astral.sh/uv/install.sh | sh \
-    && uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,a2a]>=1.1.19
+    && uv pip install --system --upgrade --verbose --no-cache --break-system-packages --prerelease=allow vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,a2a]>=1.1.20
 
 CMD ["vector-mcp"]

README.md

@@ -21,7 +21,7 @@
 ![PyPI - Wheel](https://img.shields.io/pypi/wheel/vector-mcp)
 ![PyPI - Implementation](https://img.shields.io/pypi/implementation/vector-mcp)
 
-*Version: 1.1.19*
+*Version: 1.1.20*
 
 ## Overview
 

pyproject.toml

@@ -4,25 +4,64 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "vector-mcp"
-version = "1.1.19"
+version = "1.1.20"
 description = "Integrate RAG into AI Agents via MCP Server. Supports multiple Vector database technologies."
 readme = "README.md"
+authors = [{ name = "Audel Rouhi", email = "knucklessg1@gmail.com" }]
+license = { text = "MIT" }
 classifiers = [ "Development Status :: 5 - Production/Stable", "License :: Public Domain", "Environment :: Console", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3",]
 requires-python = ">=3.10"
-dependencies = [ "tree-sitter>=0.23.2", "fastmcp>=3.0.0b1", "markdownify>=1.2.2", "beautifulsoup4>=4.14.3", "ebooklib>=0.19", "html2text>=2025.4.15", "ipython>=9.9.0", "pypdf>=6.6.2", "protobuf>=6.33.4", "llama-index-core>=0.14.13", "llama-index-llms-langchain>=0.7.1", "llama-index-vector-stores-chroma>=0.5.5", "chromadb>=1.4.1", "llama-index-readers-file>=0.2.0", "eunomia-mcp>=0.3.10",]
-[[project.authors]]
-name = "Audel Rouhi"
-email = "knucklessg1@gmail.com"
+dependencies = [
+    "agent-utilities[embeddings,mcp]>=0.1.9",
+    "chromadb>=1.5.1",
+    "markdownify>=1.2.2",
+    "beautifulsoup4>=4.14.3",
+    "ebooklib>=0.20",
+    "html2text>=2025.4.15",
+    "ipython>=9.10.0",
+    "pypdf>=6.7.2",
+    "protobuf>=6.33.5",
+    "llama-index-core>=0.14.15",
+    "llama-index-llms-langchain>=0.7.2",
+    "llama-index-vector-stores-chroma>=0.5.5",
+    "llama-index-readers-file>=0.5.6",
+]
 
 [project.optional-dependencies]
-postgres = [ "pgvector>=0.4.2", "psycopg>=3.3.2", "llama-index-vector-stores-postgres>=0.7.3",]
-chromadb = [ "chromadb>=1.4.1", "llama-index-vector-stores-chroma>=0.5.5", "opentelemetry-api>=1.25.0", "opentelemetry-sdk>=1.25.0", "opentelemetry-exporter-otlp>=1.25.0",]
-couchbase = [ "couchbase>=4.5.0", "llama-index-vector-stores-couchbase>=0.6.0",]
-qdrant = [ "qdrant-client>=1.16.2", "fastembed>=0.7.4", "llama-index-vector-stores-qdrant>=0.9.1",]
-mongodb = [ "pymongo>=4.16.0", "llama-index-vector-stores-mongodb>=0.9.1",]
-huggingface = [ "llama-index-embeddings-huggingface>=0.6.1", "sentence_transformers>=5.2.2",]
-a2a = [ "pydantic-ai-slim[fastmcp,openai,anthropic,groq,mistral,google,huggingface,a2a,ag-ui,web]>=1.48.0", "pydantic-ai-skills>=0.4.0", "fastapi>=0.128.0", "pydantic-ai-slim[fastmcp,openai,groq,anthropic,mistral,google,huggingface,a2a,ag-ui,web]>=1.60.0", "pydantic-ai-skills>=v0.4.0",]
-all = [ "fastmcp>=3.0.0b1", "sentence_transformers>=5.2.2", "markdownify>=1.2.2", "beautifulsoup4>=4.14.3", "ebooklib>=0.19", "html2text>=2025.4.15", "ipython>=9.9.0", "pypdf>=6.6.2", "protobuf>=6.33.4", "llama-index-core>=0.14.13", "llama-index-llms-langchain>=0.7.1", "llama-index-embeddings-huggingface>=0.6.1", "llama-index-vector-stores-mongodb>=0.9.1", "llama-index-vector-stores-qdrant>=0.9.1", "llama-index-vector-stores-couchbase>=0.6.0", "llama-index-vector-stores-chroma>=0.5.5", "llama-index-vector-stores-postgres>=0.7.3", "pgvector>=0.4.2", "psycopg>=3.3.2", "chromadb>=1.4.1", "couchbase>=4.5.0", "qdrant-client>=1.16.2", "fastembed>=0.7.4", "pymongo>=4.16.0", "pydantic-ai-slim[fastmcp,openai,anthropic,groq,mistral,google,huggingface,a2a,ag-ui,web]>=1.48.0", "pydantic-ai-skills>=v0.4.0", "fastapi>=0.128.0", "opentelemetry-api>=1.25.0", "opentelemetry-sdk>=1.25.0", "opentelemetry-exporter-otlp>=1.25.0", "pydantic-ai-slim[fastmcp,openai,groq,anthropic,mistral,google,huggingface,a2a,ag-ui,web]>=1.60.0",]
+postgres = [
+    "psycopg>=3.3.3",
+    "llama-index-vector-stores-postgres>=0.7.3",
+]
+chromadb = [
+    "chromadb>=1.5.1",
+    "llama-index-vector-stores-chroma>=0.5.5",
+    "opentelemetry-api>=1.39.1",
+    "opentelemetry-sdk>=1.39.1",
+    "opentelemetry-exporter-otlp>=1.39.1",
+]
+couchbase = [
+    "couchbase>=4.5.0",
+    "llama-index-vector-stores-couchbase>=0.6.0",
+]
+qdrant = [
+    "qdrant-client>=1.16.2",
+    "fastembed>=0.7.4",
+    "llama-index-vector-stores-qdrant>=0.9.1",
+]
+mongodb = [
+    "pymongo>=4.16.0",
+    "llama-index-vector-stores-mongodb>=0.9.1",
+]
+huggingface = [
+    "llama-index-embeddings-huggingface>=0.6.1",
+    "sentence_transformers>=5.2.2",
+]
+agent = [
+    "agent-utilities[agent]>=0.1.9",
+]
+all = [
+    "vector-mcp[postgres,chromadb,couchbase,qdrant,mongodb,huggingface,agent]>=1.1.19"
+]
 
 [project.scripts]
 vector-mcp = "vector_mcp.mcp:mcp_server"

scripts/debug_full.py

@@ -1,5 +1,4 @@
 import sys
-import os
 import logging
 
 logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)

scripts/debug_pg.py

@@ -1,5 +1,4 @@
 import sys
-import os
 
 print(f"Python: {sys.version}")
 

scripts/investigate_timeout.py

@@ -1,6 +1,4 @@
 import os
-import sys
-from typing import Any
 
 os.environ["LLM_API_KEY"] = "sk-test-key"
 
@@ -28,7 +26,7 @@ def inspect_openai():
     print("\n--- Inspecting OpenAIEmbedding ---")
     try:
         embed_model = OpenAIEmbedding(model="text-embedding-3-small", timeout=32400.0)
-        print(f"Initialized OpenAIEmbedding with timeout=32400.0")
+        print("Initialized OpenAIEmbedding with timeout=32400.0")
 
         if hasattr(embed_model, "_get_client"):
             print("Calling _get_client()")
@@ -74,7 +72,7 @@ def inspect_ollama():
     print("\n--- Inspecting OllamaEmbedding ---")
     try:
         embed_model = OllamaEmbedding(model_name="nomic-embed-text", timeout=32400.0)
-        print(f"Initialized OllamaEmbedding with timeout=32400.0")
+        print("Initialized OllamaEmbedding with timeout=32400.0")
 
         print(f"OllamaEmbedding instance attributes: {embed_model.__dict__.keys()}")
 

tests/test_databases.py

@@ -1,11 +1,8 @@
 import pytest
-import os
-from unittest.mock import MagicMock, patch
 from vector_mcp.vectordb.postgres import PostgreSQL
 from vector_mcp.vectordb.mongodb import MongoDBAtlasVectorDB
 from vector_mcp.vectordb.couchbase import CouchbaseVectorDB
 from vector_mcp.vectordb.qdrant import QdrantVectorDB
-from vector_mcp.vectordb.base import Document
 
 
 @pytest.fixture

tests/test_hybrid_implementation.py

@@ -1,6 +1,4 @@
-import pytest
 from unittest.mock import MagicMock, patch
-import hashlib
 
 with (
     patch("vector_mcp.vectordb.postgres.PostgreSQL"),

tests/test_optional_dependencies.py

@@ -7,7 +7,6 @@
 
 print("Checking vector_mcp.vector_mcp import...")
 try:
-    import vector_mcp.vector_mcp
 
     print("Success: vector_mcp.vector_mcp imported.")
 except Exception as e:
@@ -16,7 +15,6 @@
 
 print("Checking vector_mcp.retriever import...")
 try:
-    import vector_mcp.retriever
 
     print("Success: vector_mcp.retriever imported.")
 except Exception as e: