# Observee

## Docs

- [Chat Interface](https://docs.observee.ai/agentsdk/chat.md): AI conversations with tool access - both standard and streaming
- [Configuration](https://docs.observee.ai/agentsdk/configuration.md): Configuration options for the Observee Agents SDK
- [Installation](https://docs.observee.ai/agentsdk/installation.md)
- [Overview](https://docs.observee.ai/agentsdk/overview.md): Seamless integration of MCP (Model Context Protocol) tools with multiple LLM providers.
- [Tool Management](https://docs.observee.ai/agentsdk/tools.md): Discover, filter, and execute tools directly.
- [Authentication](https://docs.observee.ai/authsdk/authentication.md)
- [Installation](https://docs.observee.ai/authsdk/installation.md)
- [Overview](https://docs.observee.ai/authsdk/overview.md)
- [Python Examples](https://docs.observee.ai/examples/python/basic-usage.md): Basic examples for common use cases in Python
- [Tool Usage](https://docs.observee.ai/examples/python/tool-usage.md): Direct tool execution and discovery in Python
- [TypeScript Examples](https://docs.observee.ai/examples/typescript/basic-usage.md): Basic examples for common use cases in TypeScript
- [Tool Usage](https://docs.observee.ai/examples/typescript/tool-usage.md): Direct tool execution and discovery in TypeScript
- [Observee SDK (MCP)](https://docs.observee.ai/index.md): Enterprise-grade MCP integration platform for AI agents
- [Anthropic API](https://docs.observee.ai/integrations/python/anthropic.md): Connect to Observee's MCP server directly using Anthropic's Python SDK
- [CrewAI](https://docs.observee.ai/integrations/python/crewai.md): Build AI agent crews with Observee tools using CrewAI
- [LangChain](https://docs.observee.ai/integrations/python/langchain.md): Connect Observee with LangChain using MCP adapters
- [LangGraph](https://docs.observee.ai/integrations/python/langgraph.md): Build stateful agents with Observee tools using LangGraph
- [OpenAI SDK (Python)](https://docs.observee.ai/integrations/python/openai-sdk.md): Connect Observee with OpenAI's Python SDK using the agents library
- [Vercel AI SDK](https://docs.observee.ai/integrations/typescript/ai-sdk.md): Connect Observee with Vercel's AI SDK
- [Mastra SDK](https://docs.observee.ai/integrations/typescript/mastra.md): Integrate Mastra with Model Context Protocol (MCP) and Observee for powerful tool and agent orchestration.
- [OpenAI SDK](https://docs.observee.ai/integrations/typescript/openai-sdk.md): Connect Observee with OpenAI SDK
- [Installation](https://docs.observee.ai/loggersdk/installation.md)
- [Logging](https://docs.observee.ai/loggersdk/logging.md)
- [Overview](https://docs.observee.ai/loggersdk/overview.md)
- [Quickstart - Using MCPs in AI agents](https://docs.observee.ai/mcpaiagents.md): Get up and running with Observee Agents in under 5 minutes
- [Observee (Ingestion + Actions)](https://docs.observee.ai/observee.md): Data Ingestion and Action Engine
- [Connecting to Our MCP Server using HTTP](https://docs.observee.ai/quickstartagentshttp.md): For those who want to use our API directly, please see this tutorial
- [Quickstart - Adding Observability and Analytics to MCPs using Logger SDK](https://docs.observee.ai/quickstartmcpdev.md)

## OpenAPI Specs

- [openapi](https://docs.observee.ai/api-reference/openapi.json)

## Optional

- [Community](https://discord.gg/QCgXDSCNC6)