mcp_playground_dart 0.3.0

Pure Dart core for AI Agent Playground. Agent execution engine, LLM adapters, MCP clients, and tool orchestration — no Flutter dependency.

0.3.0

• Windows Stdio MCP Server Execution: Switched Windows NPX server launching to direct node.exe execution with npx-cli.js, eliminating cmd.exe stdin pipe stalls during MCP initialize handshakes.
• Mistral Streaming: Fixed _MistralPatchClient buffering live SSE event streams, enabling real-time chunk streaming.
• Added LocalMcpRuntime.findNpxCli and _resolveWindowsExe helpers for robust tool detection on Windows.
• Unified 0.3.0 release across the MCP Playground ecosystem.

0.2.2

• Added SkillImporter.collectNeededTools() — collects all tool names referenced by a skill manifest (declared tools + per-step enabledToolNames).
• Added SkillImporter.buildUnresolvableToolsWarning() — builds a human-readable warning listing missing tools with capability/install/registry details.
• McpAgentEngine.registerAgentFromManifest() now tracks resolved capability tools and emits an AgentLogEvent warning when unresolvable tools are detected.

0.2.1

• Added McpAgentEngine.registerAgentFromManifest() — builds and registers an Agent directly from a parsed SkillManifest, handling tool-declaration → McpServerConfig mapping and prompt-step conversion. Accepts optional dartTools, workingDir, and serverOverrides.
• Updated SkillExporter.toSkillMd() compatibility tag from mcp_playground to "Universal" to match agentskills.io TealKit standard.
• Added dartTools parameter to registerAgentFromManifest() for Dart-native local tool injection (weather, charts, SSH).

0.2.0

• BREAKING: SKILL.md export/import format changed to agentskills.io TealKit-compatible standard (compatibility:, metadata:, workflow:, agents:). Legacy custom format (system_prompt:, prompts:, tools:) is deprecated.
• Added SkillManifest, SkillPromptStep, SkillToolDeclaration models with 3-tier portability (capability, local, external).
• Added SkillExporter — converts SavedPlaygroundSetup/conversation → SKILL.md YAML frontmatter.
• Added SkillImporter — parses SKILL.md (both TealKit and legacy formats) → SavedPlaygroundSetup with multi-prompt step conversion.
• Added SkillStorageAdapter abstract interface with StoredSkillInfo for pluggable skill ZIP persistence.
• Added yaml dependency for robust YAML parsing.

0.1.4

• Upgraded dependencies: anthropic_sdk_dart to ^6.0.0, googleai_dart to ^9.0.0, ollama_dart to ^2.4.0, http to ^1.6.0.

0.1.3

• Refactored streaming support for Small Language Models (SLMs) and embedded models.
• Added dynamic static delegates embeddedHandler and embeddedStreamHandler to plug on-device inference engines without hard code dependencies.
• Added a new headless CLI example embedded_example demonstrating on-device Hugging Face GGUF model downloading, offline inference, local weather tool execution, and token-by-token terminal stream outputs.

0.1.2

• Expose agentEvents stream in McpAgentEngine and return a reactive event stream from runAsync for asynchronous streaming execution.
• Add support for loading LlmConfig hyperparameters (temperature, maxTokens, topP, topK, repeatPenalty) inside provider clients.
• Isolate local stdio client dependencies from web/wasm builds via default stub conditional imports.
• Protocol and logging compliance updates.

0.1.1

• Fixed WASM and Web compilation by integrating universal_io for subprocess/file wrappers.
• Added pure Dart McpChangeNotifier to core clients to remove Flutter dependencies.
• Added comprehensive self-contained package example for pub.dev.

0.1.0

• Initial release of the pure-Dart core package.
• Built-in multi-LLM SDK adapters (OpenAI, Claude, Gemini, Ollama, Mistral).
• HTTP/SSE stateful Model Context Protocol (MCP) clients with authentication and health-monitoring reconnection.
• Desktop stdio process execution client for Node.js and Python MCP servers.
• Core McpAgentEngine supporting sub-prompt orchestration pipelines, iterative tool loops, and loop-protection.