Skip to main content
Glama

Chroma MCP Server

Official
pyproject.toml1.52 kB
[project] name = "chroma-mcp" version = "0.2.6" description = "Chroma MCP Server - Vector Database Integration for LLM Applications" readme = "README.md" requires-python = ">=3.10" license = "Apache-2.0" keywords = ["chroma", "mcp", "vector-database", "llm", "embeddings"] classifiers = [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Topic :: Software Development :: Libraries :: Python Modules" ] dependencies = [ "chromadb>=1.0.16", "cohere>=5.14.2", "httpx>=0.28.1", "mcp[cli]==1.6.0", "openai>=1.70.0", "pillow>=11.1.0", "python-dotenv>=0.19.0", "typing-extensions>=4.13.1", "voyageai>=0.3.2", ] [project.urls] Homepage = "https://github.com/chroma-core/chroma-mcp" Documentation = "https://github.com/chroma-core/chroma-mcp#readme" Issues = "https://github.com/chroma-core/chroma-mcp/issues" [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [project.scripts] chroma-mcp = "chroma_mcp:main" [project.optional-dependencies] sentence-transformers = ["sentence-transformers>=4.1.0"] test = [ "pytest>=8.3.5", "pytest-asyncio>=0.26.0", "pytest-cov>=4.1.0", ] [tool.pytest.ini_options] testpaths = ["tests"] python_files = ["test_*.py"] asyncio_default_fixture_loop_scope = "function" [tool.ruff] select = ["E", "F", "B", "I"] ignore = [] line-length = 100

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/chroma-core/chroma-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server