self_query_mcp_agent_v2¶

Self Query MCP Discovery Agent - Proper Haive Implementation.

This agent uses Haive’s configuration system properly by extending BaseRAGAgent and using SelfQueryRetrieverConfig instead of manually creating retrievers.

Classes¶

`MCPDocumentLoader`	Load and process MCP server documents.
`MCPServerMetadata`	Metadata schema for MCP servers.
`SelfQueryMCPAgent`	Enhanced MCP Discovery Agent using proper Haive configuration system.

Functions¶

test_mcp_agent()

Test the MCP agent.

Module Contents¶

class self_query_mcp_agent_v2.MCPDocumentLoader¶

Load and process MCP server documents.

static create_mcp_documents() → list[langchain.schema.Document]¶: Create documents from MCP servers data.

class self_query_mcp_agent_v2.MCPServerMetadata(/, **data: Any)¶

Bases: pydantic.BaseModel

Metadata schema for MCP servers.

category: str = None¶

has_install: bool = None¶

language: str = None¶

prompts_count: int = None¶

resources_count: int = None¶

server_name: str = None¶

stars: int = None¶

tools_count: int = None¶

total_features: int = None¶

class self_query_mcp_agent_v2.SelfQueryMCPAgent(name: str = 'mcp_self_query_agent')¶

Bases: haive.agents.rag.base.agent.BaseRAGAgent

Enhanced MCP Discovery Agent using proper Haive configuration system.

analyze_query_intent(query: str) → str¶: Analyze query to determine if it’s suitable for self-query.

async search_mcp_servers(query: str, k: int = 5) → list[langchain.schema.Document]¶: Search for MCP servers using the configured retriever.

async self_query_mcp_agent_v2.test_mcp_agent()¶: Test the MCP agent.