MCP Servers

crewAI 1.10.0a1 introduces a unified memory system, enhanced flow tracking with event correlation, and improved HITL (Human-in-the-Loop) functionality. Key updates include tool spec auto-updates, MCP schema improvements, async support enhancements, and security fixes addressing OpenSSL vulnerabilities.

CrewAI 1.10.0 introduces enhanced MCP tool resolution, improved JSON argument parsing, user input handling in Flows, and migrates the CLI HTTP client from requests to httpx. The release includes 20+ bug fixes addressing tool validation, schema handling, callback execution, and race conditions, plus documentation updates for security guidance and 96 new integration actions.

crewAI 1.10.1 release includes upgraded Gemini GenAI support, multiple bug fixes addressing executor recursion, parallel function handling, MCP tool loading, and Jupyter compatibility. Security improvements include upgrading pypdf to 6.7.4 and resolving critical Dependabot alerts.

langchain-tests version 1.1.5 release includes dependency updates across multiple directories, a ruff version bump to 0.15, langsmith upgrade from 0.4.56 to 0.6.3, and modifications to the test suite for sandbox-only execution. This is a maintenance release focused on dependency management and testing infrastructure improvements.

langchain-anthropic version 1.3.4 release includes bug fixes for OpenAI response block filtering, model ID updates, and integration test improvements. Key features added include ChatAnthropicBedrock wrapper, User-Agent header support for Anthropic API calls, and max input token configuration based on context beta headers.

langchain-core version 1.2.17 has been released with a key fix for extracting usage metadata from serialized tracer message outputs. The release also includes dependency updates across multiple directories.

langchain-huggingface version 1.2.1 release includes compatibility fixes for huggingface-hub 1.x, dependency updates for transformers and sentence-transformers, and a bump of langgraph-checkpoint to 4.0.0. The release also features improvements to model profiles with new text_inputs and text_outputs fields, along with various maintenance updates including security patches for pillow and urllib3.

LangChain released langchain-openrouter version 0.1.0 with significant enhancements including streaming token usage support, cost tracking in response metadata, standard model properties, and default headers. The release includes bug fixes for SDK compatibility and model profile improvements.

OpenAI Agents Python v0.10.2 release includes bug fixes for trace reattachment without duplicates, oversized tracing span payload sanitization, MCP policy approval requirements, and exposure of model request IDs on raw responses. The release also includes documentation structure improvements and updates to translated pages.

OpenAI Agents Python v0.10.3 release includes new features for exposing immutable agent tool invocation metadata on run results and adding RunResult tool_context accessor for agent tools. Performance improvements include using deque for BFS queue and voice task ordering, along with comprehensive documentation updates and test enhancements.

OpenAI Agents Python v0.10.5 release adds explicit MultiProvider prefix modes and improves error handling by returning McpError as structured results instead of crashing agent runs. The release includes extensive documentation improvements for Dapr sessions, realtime transport, agent runtime flows, and fixes Python 3.11+ compatibility issues.

Google ADK Python v1.20.0 introduces multi-provider LLM support (Claude, LiteLLM), streaming function call arguments, and a new APIRegistryToolset for Cloud API integration. The release includes numerous bug fixes for agent validation, response processing, path handling, and LLM compatibility improvements.

Google ADK Python v1.21.0 introduces support for the Gemini Interactions API, enhances tools with header providers and SSL verification, upgrades BigQueryAgentAnalytics to v2.0, and adds Gemma3Ollama model integration. The release includes numerous bug fixes for LiteLLM response formatting, Spanner client initialization, OpenAPI schema generation, and security updates for FastAPI/Starlette vulnerabilities.

Google ADK Python v1.22.0 introduces major features including optional LLM model configuration with fallback, regex support for allowed origins, progressive SSE streaming by default, custom instructions for user simulators, Cloud Pub/Sub tool support, and a new JSON-based database schema for DatabaseSessionService. The release includes 30+ bug fixes addressing event content validation, OAuth token refresh, eval result serialization, MCP tool errors, and deployment configurations.

Google ADK Python v1.23.0 introduces OpenTelemetry-based tracing for BigQuery, automatic session creation, and enhanced tool support with JSON schema declarations. The release includes 30+ features and bug fixes across core, tools, evals, observability, and integrations, with a breaking change replacing custom ContextVar implementation with OpenTelemetry.

Google ADK Python v1.24.0 introduces a breaking change to credential manager API (accepting `tool_context` instead of `callback_context`) and delivers significant enhancements across web UI, core functionality, tooling, and observability. Key features include A2UI v0.8 integration for native UI component rendering, toolset authentication framework, asynchronous OpenAPI tools, improved accessibility with arrow-key navigation, and numerous bug fixes for session management, credential handling, and deployment validation.

Google ADK Python v1.25.0 release introduces significant enhancements including a simple prompt optimizer demo, new CLI flags for auto session creation, event-delta memory management, and post-invocation token compaction. The release adds support for external access tokens in Google credentials, new tools like MCP resource loading and SkillToolset, plus health/version endpoints to the web server. Multiple bug fixes address async iteration, event loop issues, metadata preservation in streaming responses, and PostgreSQL timestamp handling.

Google ADK Python v1.26.0 release introduces major features including intra-invocation token compaction, Apigee LLM chat completions integration, Agent Skills spec compliance, BigQuery search catalog support, and an Agent Registry system. The release also includes numerous bug fixes for streaming tools, memory services, authentication, and various integrations across core, models, tools, evals, and services components.

Release 2025.1.17 of modelcontextprotocol/servers updates three packages: the Slack server, GitHub server, and Fetch server, all bumped to version 2025.1.17. This release includes improvements and fixes across the Model Context Protocol server implementations for integrating with Slack, GitHub, and web fetching capabilities.

Release 2025.4.6 of modelcontextprotocol/servers updates five server packages including GitHub, Redis, GitLab, Puppeteer, and Fetch integrations. This release maintains version consistency across the Model Context Protocol server ecosystem.