Pydantic BaseModel reserves 'name' as a protected attribute. Removed
the 'name' attribute from dynamically created entity type models as
it's not needed - the entity type name is already stored as the class
name and dict key.
Fixed error: name cannot be used as an attribute for Requirement as
it is a protected attribute name.
The Graphiti add_episode() API expects entity_types as a
dict[str, type[BaseModel]], not a list. Changed entity type
building to create a dictionary mapping entity names to their
Pydantic model classes.
Fixed error: 'list' object has no attribute 'items'
Changes:
- Build entity_types as dict instead of list in config processing
- Add fallback to convert ENTITY_TYPES list to dict if needed
- Map entity type names to their model classes
The UTC constant was added in Python 3.11. Changed to use
timezone.utc which is available in Python 3.10+.
Fixed ImportError: cannot import name 'UTC' from 'datetime'
Replace outdated text-embedding-ada-002 with the newer, more efficient
text-embedding-3-small model as the default embedder. The new model
offers better performance and is more cost-effective.
Updated:
- config/config.yaml: Changed default model
- README.md: Updated documentation to reflect new default
Since the MCP server no longer supports SSE transport, removed the
mention of SSE from the mcp-remote description. The server only
uses HTTP transport.
Addresses review comment on line 514
- Shorten Kuzu database description to be more concise
- Update Ollama model example to use 'gpt-oss:120b'
- Restore Azure OpenAI environment variables documentation
- Remove implementation details from Docker section (irrelevant to container users)
- Clarify mcp-remote supports both HTTP and SSE transports
Addresses review comments #1-7 on the PR
- Add comprehensive features list including all supported databases, LLM providers, and transports
- Document Kuzu as the default database with explanation of its benefits and archived status
- Add detailed instructions for running with different databases (Kuzu, Neo4j, FalkorDB)
- Update transport references from SSE to HTTP (default transport)
- Add database-specific Docker Compose instructions
- Update MCP client configurations to use /mcp/ endpoint
- Clarify prerequisites to reflect optional nature of external databases
- Add detailed database configuration examples for all supported backends
- Replace try-except-pass with contextlib.suppress in test_async_operations.py
- Replace try-except-pass with contextlib.suppress in test_fixtures.py
- Fixes ruff SIM105 linting errors
- Replace bare except with except Exception
- Remove unused imports and variables
- Fix type hints to use modern syntax
- Apply ruff formatting for line length
- Ensure all tests pass linting checks
- Add dotenv loading support in test runner
- Fix duplicate os import issue
- Improve prerequisite checking with helpful hints
- Update error messages to guide users
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Use simplified format matching uvicorn's default (LEVEL message)
- Remove timestamps from custom logger format
- Suppress verbose MCP and uvicorn access logs
- Improve readability of server startup output
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove incorrect /status endpoint reference
- Update logging to show correct MCP endpoint at /mcp/
- Align with FastMCP documentation standards
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added comprehensive logging showing exact URLs to access the MCP server
- Display localhost instead of 0.0.0.0 for better usability
- Show MCP endpoint, transport type, and status endpoint information
- Added visual separators to make server info stand out in logs
This helps users understand exactly how to connect to the MCP server
and troubleshoot connection issues.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Changed hardcoded default in schema.py from gpt-4o to gpt-4.1
- Fixed default config path to look in config/config.yaml relative to mcp_server directory
- This ensures the server uses gpt-4.1 as the default model everywhere
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed the default LLM model from gpt-4o-mini to gpt-4.1 as requested.
This is the latest GPT-4 series model.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed the default LLM model from gpt-4o to gpt-4o-mini across all
configuration files for better cost efficiency while maintaining quality.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Changed default transport to 'http' as SSE is deprecated
- Updated all configuration files to use HTTP transport
- Updated Docker compose commands to use HTTP transport
- Updated comments to reflect HTTP transport usage
This change ensures the MCP server uses the recommended HTTP transport
instead of the deprecated SSE transport.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix API key detection: Remove hardcoded OpenAI checks, let factories handle provider-specific validation
- Fix .env file loading: Search for .env in mcp_server directory first
- Change default transport to SSE for broader compatibility (was stdio)
- Add proper error handling with warnings for failed client initialization
- Model already defaults to gpt-4o as requested
These changes ensure the MCP server properly loads API keys from .env files
and creates the appropriate LLM/embedder clients based on configuration.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
This is a major refactoring of the MCP Server to support multiple providers
through a YAML-based configuration system with factory pattern implementation.
## Key Changes
### Architecture Improvements
- Modular configuration system with YAML-based settings
- Factory pattern for LLM, Embedder, and Database providers
- Support for multiple database backends (Neo4j, FalkorDB, KuzuDB)
- Clean separation of concerns with dedicated service modules
### Provider Support
- **LLM**: OpenAI, Anthropic, Gemini, Groq
- **Embedders**: OpenAI, Voyage, Gemini, Anthropic, Sentence Transformers
- **Databases**: Neo4j, FalkorDB, KuzuDB (new default)
- Azure OpenAI support with AD authentication
### Configuration
- YAML configuration with environment variable expansion
- CLI argument overrides for runtime configuration
- Multiple pre-configured Docker Compose setups
- Proper boolean handling in environment variables
### Testing & CI
- Comprehensive test suite with unit and integration tests
- GitHub Actions workflows for linting and testing
- Multi-database testing support
### Docker Support
- Updated Docker images with multi-stage builds
- Database-specific docker-compose configurations
- Persistent volume support for all databases
### Bug Fixes
- Fixed KuzuDB connectivity checks
- Corrected Docker command paths
- Improved error handling and logging
- Fixed boolean environment variable expansion
Co-authored-by: Claude <noreply@anthropic.com>
* fix: remove global DEFAULT_DATABASE usage in favor of driver-specific
config
Fixes bugs introduced in PR #607. This removes reliance on the global
DEFAULT_DATABASE environment variable. It specifies the database within
each driver. PR #607 introduced a Neo4j compatability, as the database
names are different when attempting to support FalkorDB.
This refactor improves compatability across database types and ensures
future reliance by isolating the configuraiton to the driver level.
* fix: make falkordb support optional
This ensures that the the optional dependency and subsequent import is compliant with the graphiti-core project dependencies.
* chore: fmt code
* chore: undo changes to uv.lock
* fix: undo potentially breaking changes to drive interface
* fix: ensure a default database of "None" is provided - falling back to internal default
* chore: ensure default value exists for session and delete_all_indexes
* chore: fix typos and grammar
* chore: update package versions and dependencies in uv.lock and bulk_utils.py
* docs: update database configuration instructions for Neo4j and FalkorDB
Clarified default database names and how to override them in driver constructors. Updated testing requirements to include specific commands for running integration and unit tests.
* fix: ensure params defaults to an empty dictionary in Neo4jDriver
Updated the execute_query method to initialize params as an empty dictionary if not provided, ensuring compatibility with the database configuration.
---------
Co-authored-by: Urmzd <urmzd@dal.ca>
Updated the error and success responses in various functions to utilize structured response classes (ErrorResponse, SuccessResponse, FactSearchResponse, EpisodeSearchResponse, StatusResponse) for improved consistency and clarity. Incremented version in pyproject.toml to 0.2.1.
* Update Docker Compose to use the latest Graphiti MCP image and enhance README documentation
* Enhance README.md with updated quick start instructions for various clients, including specific sections for Claude Desktop and Cursor, and clarify service startup steps using Docker Compose.
* Add GitHub Actions workflow for building and pushing MCP Server Docker image
This commit introduces a new workflow that triggers on changes to the pyproject.toml file in the main branch. It builds and pushes the Docker image to Docker Hub, extracting the version from the pyproject.toml and setting up necessary permissions and steps for the process.
* Add workflow_dispatch input to MCP Server Docker workflow
This commit adds an optional input parameter, `push_image`, to the GitHub Actions workflow for the MCP Server Docker image. This allows users to control whether to push the image to the registry during manual workflow dispatch, enhancing flexibility for testing purposes.
* Update Docker workflow conditions and increment version to 0.2.0
This commit modifies the MCP Server Docker workflow to include the `push_image` input conditionally for both pull requests and manual dispatches. Additionally, the version in `pyproject.toml` is updated from 0.1.0 to 0.2.0 to reflect the changes made.
* Remove unnecessary package write permission from MCP Server Docker workflow
* Add permissions for packages, actions, and security events in MCP Server Docker workflow
* Update MCP Server Docker workflow to use Ubuntu 24.04 for build environment
* Update MCP Server Docker workflow permissions to include id-token write access
* Remove unused cache configuration from MCP Server Docker workflow
* Update dependencies in pyproject.toml and uv.lock: bump graphiti-core to 0.14.0, add backoff and posthog packages, and update related version specifications.
* Update Dockerfile to change ownership command for app directory to verbose mode
* Implement telemetry feature for anonymous usage statistics collection in Graphiti; update Dockerfile CMD format for better signal handling; adjust Neo4j URI and healthcheck in docker-compose.yml; add new dependencies in pyproject.toml and poetry.lock.
* remove duplicated properties
* Update Dockerfile CMD to use JSON array format for improved signal handling
* remove tommlib dep only in 3.11
* Delete server/graph_service/logging_config.py
* update graphiti dep
* - Introduce SEMAPHORE_LIMIT environment variable in graphiti_mcp_server.py to manage concurrency and mitigate 429 rate limit errors.
- Document SEMAPHORE_LIMIT usage in README.md for better user guidance.
* Log the concurrency limit in Graphiti initialization for better visibility.
* Document SEMAPHORE_LIMIT environment variable in README.md to clarify its role in managing episode processing concurrency and handling 429 rate limit errors.
