# Atoti Hub: Atoti Intelligence & workflows Atoti Intelligence

## Atoti Intelligence

### Atoti Intelligence 6.2 (latest)

#### Introduction to Atoti Intelligence

- [Introduction to Atoti Intelligence](https://docs.activeviam.com/atoti-intelligence/6.2/intro/intro.md): Atoti Intelligence lets risk managers, traders, and analysts query live financial data in natural language, with accurate and auditable results that general-purpose AI tools cannot deliver.
- [How to connect AI to an Atoti cube](https://docs.activeviam.com/atoti-intelligence/6.2/intro/intro-LLM-and-MCP.md): Atoti Intelligence connects AI in two directions: connect an LLM to Atoti via Spring AI for use from Atoti UI, or connect Atoti to any MCP-compatible third-party application via the Atoti MCP Server.
- [Atoti Intelligence tools](https://docs.activeviam.com/atoti-intelligence/6.2/intro/tools.md): What Auto-Explain and Visualize This do in Atoti Intelligence, including automated root-cause analysis of metric variations, natural language visualization creation, and cube structure querying via an integrated LLM assistant.

#### Releases and Upgrades

- [Release notes](https://docs.activeviam.com/atoti-intelligence/6.2/releases-and-upgrades/release-notes.md)
- [Changelog](https://docs.activeviam.com/atoti-intelligence/6.2/releases-and-upgrades/changelog.md)
- [Migration notes](https://docs.activeviam.com/atoti-intelligence/6.2/releases-and-upgrades/migration-notes.md): What to change in your application when upgrading Atoti Intelligence from one version to the next.
- [Compatibility](https://docs.activeviam.com/atoti-intelligence/6.2/releases-and-upgrades/compatibility.md)

#### User Guide

- [Auto-Explain user guide](https://docs.activeviam.com/atoti-intelligence/6.2/user-guide/auto-explain.md): How to access and use Auto-Explain in Atoti UI to identify the root causes of metric changes, covering pivot table cell selection, context menu access, result interpretation, and contribution percentage output.
- [What Auto-Explain can analyze](https://docs.activeviam.com/atoti-intelligence/6.2/user-guide/auto-explain-scope.md): The scope of a single Auto-Explain analysis: what one run compares, the requirements a measure and starting cell must meet to succeed, and how the drill-down search prioritizes hierarchies.
- [Visualize This user guide](https://docs.activeviam.com/atoti-intelligence/6.2/user-guide/chat.md): How to interact with the Visualize This AI assistant in Atoti UI, covering natural language requests for charts and dashboards, cube knowledge queries, and the types of visualizations the assistant generates from Atoti-specific tool context.

#### Developer Guide

- [Retries and timeouts](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/retries-and-timeouts.md): The six guards bounding what one Visualize This prompt can cost — a wall-clock deadline, caps on repeated tool calls, tool errors and rounds that run nothing, and caps on how many times the provider and the chat ask again — plus the transport timeouts underneath them.
- [Monitoring](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/monitoring.md): How to collect diagnostic information for Atoti Intelligence at runtime, including DEBUG logging for Auto-Explain and Visualize This in `application.yaml`, Spring AI logback configuration, and resolutions for MCP server context path, keep-alive, and chat stream proxy buffering issues.

##### Enable AI Tools

###### Configure and start

- [Configure and start](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/configure-and-start/steps.md): Overview of the steps to enable Atoti Intelligence AI tools — setting up an LLM, Auto-Explain, Visualize This, and a custom disclaimer — in either the Atoti Java SDK or the Atoti Python SDK.
- [Set up an LLM](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/configure-and-start/set-up-an-llm.md): What a Large Language Model provides in Atoti Intelligence, why it is required, and the list of supported providers with links to the Atoti Java SDK and Atoti Python SDK setup pages.
- [Set up Auto-Explain](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/configure-and-start/set-up-auto-explain.md): What Auto-Explain is, how its root-cause analysis helps users, and links to the Atoti Java SDK and Atoti Python SDK setup pages.
- [Set up Visualize This](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/configure-and-start/set-up-visualize-this.md): What Visualize This is, how the AI assistant helps users build visualizations from natural language, and links to the Atoti Java SDK and Atoti Python SDK setup pages.
- [Set up a custom disclaimer](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/configure-and-start/set-up-a-custom-disclaimer.md): Why you may want to customize the Atoti Intelligence AI disclaimer, and links to the Atoti Java SDK and Atoti Python SDK configuration pages.

###### LLM

- [Set up Atoti Intelligence to use Amazon Bedrock in Java](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/llm/amazon-bedrock-java.md): How to add Amazon Bedrock as the LLM provider for Atoti Intelligence in an Atoti Java project via Spring AI, including the `spring-ai-starter-model-bedrock-converse` Maven dependency and `application.yaml` configuration for AWS credentials, region, and Converse API model selection.
- [Set up Atoti Intelligence to use Amazon Bedrock in Python](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/llm/amazon-bedrock-python.md): How to configure Amazon Bedrock as the LLM provider for Atoti Intelligence in an Atoti Python project, using `ConnectionConfig` and `ChatConfig` from `atoti_ai_amazon_bedrock` with `AiConfig`.
- [Set up Atoti Intelligence to use OpenAI in Java](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/llm/openai-java.md): How to add OpenAI as the LLM provider for Atoti Intelligence in an Atoti Java project via Spring AI, including the `spring-ai-starter-model-openai` Maven dependency, `application.yaml` API key and model configuration, and support for OpenAI-compatible APIs.
- [Set up Atoti Intelligence to use OpenAI in Python](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/llm/openai-python.md): How to configure OpenAI as the LLM provider for Atoti Intelligence in an Atoti Python project, using `ConnectionConfig` and `ChatConfig` from `atoti_ai_openai` with `AiConfig`, including OpenAI-compatible providers.

###### Auto-Explain

- [Set up Auto-Explain in Java](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/auto-explain/setup-java.md): How to add the Auto-Explain Spring Boot starter to an Atoti Java project, verify it in the Atoti UI, and configure it in `application.yaml`.
- [Set up Auto-Explain in Python](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/auto-explain/setup-python.md): How to enable Auto-Explain in an Atoti Python project through the `ai` plugin and `AiConfig`, access it via `Cube.auto_explain`, and tune its constants from Python.
- [Configure Auto-Explain](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/auto-explain/configuration.md): The Auto-Explain algorithm constants (`max-depth`, `max-entropy`, the contribution thresholds, and more), what each one does, how to tune them from the Atoti Java SDK and the Atoti Python SDK, and how long an analysis stays retrievable from the chat.
- [How Auto-Explain works](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/auto-explain/how-it-works.md): How the Auto-Explain recursive tree-search algorithm finds root causes, the key terms (variation, contribution, entropy, depth), the algorithm steps, and a worked example.

###### Visualize This

- [Set up Visualize This in Java](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/visualize-this/setup-java.md): How to add the Visualize This Spring Boot starter to an Atoti Java project and verify that the AI assistant appears in Atoti UI.
- [Set up Visualize This in Python](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/visualize-this/setup-python.md): How to enable Visualize This in an Atoti Python project through `AiConfig` with an LLM connection and chat model.
- [Configure Visualize This](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/visualize-this/configuration.md): How to configure Visualize This -  cube context, dynamic tool discovery and the `atoti.ai.chat.enabled` switch that turns chat off in the Atoti Java SDK, and the chat system prompt in the Atoti Python SDK.
- [How Visualize This works](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/visualize-this/how-it-works.md): How Visualize This turns a natural-language request into a visualization — the cube context and system prompt sent to the LLM, and how the assistant builds widgets from the data model.

###### Custom disclaimer

- [Set up a custom disclaimer in Java](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/disclaimer/setup-java.md): How to customize the Atoti Intelligence AI disclaimer in an Atoti Java project through the `atoti.ai.disclaimer` application property, and the default disclaimer shown when none is defined.
- [Set up a custom disclaimer in Python](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/enable-ai-tools/disclaimer/setup-python.md): How to customize the Atoti Intelligence AI disclaimer in an Atoti Python project through the `disclaimer` parameter of `AiConfig`.

##### Atoti UI set up

- [How to set up the frontend](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/ui-chat/setup.md): How to add the `@activeviam/ai-extension` to the Atoti UI for Visualize This and Auto-Explain, covering the integrated `extensions.json` approach for Java projects and the standalone `package.json` and `pnpm` build approach.

##### MCP Server

- [What is the Atoti MCP Server?](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/introduction.md): What the Atoti MCP Server is and why to use it, the best practices for configuring MCP across a deployment - serving chat from one main application and connecting every other server to it - and how it exposes Atoti cubes, hierarchies, measures, and custom tools to any MCP-compatible LLM client such…
- [How to add custom tools](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/custom-tools.md): How to extend the Atoti MCP Server with user-defined tools using Spring AI `@Tool`, `@ToolParam`, and `MethodToolCallbackProvider`, including an implementation example, tool method requirements, and verification steps.

###### MCP setup

- [How to set up the Atoti MCP Server](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/setup/atoti-mcp-server-setup.md): How to add the Atoti MCP Server to an Atoti Java project via the `starter-ai-mcp-server` and `mcp-server-spring` Maven dependencies, with steps to verify the MCP Server initializes and its `POST /mcp` endpoint is accessible.
- [How to connect with Postman](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/setup/connect-with-postman.md): How to test and debug the Atoti MCP Server with Postman, including Basic Auth configuration, tool discovery via SSE, JSON-RPC `tools/call` POST request format, response interpretation, and custom tool validation.
- [What is the MCP credentials page?](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/setup/mcp-credentials-page.md): How to enable the opt-in MCP credentials page to mint long-lived RS512-signed JWT bearer tokens for MCP clients, including token lifetime configuration, token generation, and security considerations.
- [How to connect with Claude](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/setup/connect-with-claude.md): How to configure Claude Desktop to connect to the Atoti MCP Server, including the `mcpServers` JSON configuration block, `mcp-remote` via `npx`, Base64 Basic Auth passkey generation, and tool discovery verification steps.
- [Configure OAuth 2.1 discovery](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/setup/configure-oauth2-discovery.md): Configure the Atoti MCP Server as an OAuth 2.1 resource server that publishes RFC 9728 Protected Resource Metadata, enabling MCP clients (Claude Code, Cursor, Cline, Gemini CLI) to drive browser-based PKCE authentication against a corporate identity provider such as Okta, Entra ID, or Keycloak.
- [Configure self-issued OAuth 2.1](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/setup/configure-oauth2-self-issued.md): Configure the Atoti MCP Server as its own OAuth 2.1 authorization server, handling Dynamic Client Registration, browser PKCE sign-in against Atoti's own login page, and JWT issuance without an external identity provider.

###### Connect to other servers

- [Connect to other MCP Servers in Java](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/connect-to-other-servers/setup-java.md): How to declare an outbound MCP connection in an Atoti Java application through `spring.ai.mcp.client` — the accepted keys, the supported transports, sharing the `atoti.jwt.key` signing key, and the Spring properties and beans that name the server, replace the tool naming scheme, or withhold `getConn…
- [Connect to other MCP Servers in Python](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/connect-to-other-servers/setup-python.md): How to configure an Atoti session in Python to use the tools of other MCP Servers, with `AiConfig`, `McpClientConfig`, `StreamableHttpMcpServerConfig`, and `StdioMcpServerConfig` from `atoti_ai`, covering the server configuration parameters, invalid server names, and sharing a JWT key pair for `atot…
- [How connecting to other MCP Servers works](https://docs.activeviam.com/atoti-intelligence/6.2/developer-guide/mcp-server/connect-to-other-servers/how-it-works.md): How an Atoti Server uses the tools of other MCP Servers as its own, covering the license tier, the `none`, `atoti-jwt` and `pass-through` authentication modes that carry the calling user's identity, remote tool naming, the `getConnectedServers` chat tool, connection resilience, and how remote tools…

### Atoti Intelligence 6.1

#### Introduction to Atoti Intelligence

- [Introduction to Atoti Intelligence](https://docs.activeviam.com/atoti-intelligence/6.1/intro/intro.md): Atoti Intelligence lets risk managers, traders, and analysts query live financial data in natural language, with accurate and auditable results that general-purpose AI tools cannot deliver.
- [How to connect AI to an Atoti cube](https://docs.activeviam.com/atoti-intelligence/6.1/intro/intro-LLM-and-MCP.md): Atoti Intelligence connects AI in two directions: connect an LLM to Atoti via Spring AI for use from Atoti UI, or connect Atoti to any MCP-compatible third-party application via the Atoti MCP Server.
- [Atoti Intelligence tools](https://docs.activeviam.com/atoti-intelligence/6.1/intro/tools.md): What Auto-Explain and Visualize This do in Atoti Intelligence, including automated root-cause analysis of metric variations, natural language visualization creation, and cube structure querying via an integrated LLM assistant.

#### Releases and Upgrades

- [Release notes](https://docs.activeviam.com/atoti-intelligence/6.1/releases-and-upgrades/release-notes.md)
- [Changelog](https://docs.activeviam.com/atoti-intelligence/6.1/releases-and-upgrades/changelog.md)
- [Compatibility](https://docs.activeviam.com/atoti-intelligence/6.1/releases-and-upgrades/compatibility.md)

#### User Guide

- [Auto-Explain user guide](https://docs.activeviam.com/atoti-intelligence/6.1/user-guide/auto-explain.md): How to access and use Auto-Explain in Atoti UI to identify the root causes of metric changes, covering pivot table cell selection, context menu access, result interpretation, and contribution percentage output.
- [Visualize This user guide](https://docs.activeviam.com/atoti-intelligence/6.1/user-guide/chat.md): How to interact with the Visualize This AI assistant in Atoti UI, covering natural language requests for charts and dashboards, cube knowledge queries, and the types of visualizations the assistant generates from Atoti-specific tool context.

#### Developer Guide

- [Monitoring](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/monitoring.md): How to collect diagnostic information for Atoti Intelligence at runtime, including DEBUG logging for Auto-Explain and Visualize This in `application.yaml`, Spring AI logback configuration, and resolutions for MCP server context path, keep-alive, and chat stream proxy buffering issues.

##### Enable AI Tools

###### Configure and start

- [Configure and start](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/configure-and-start/steps.md): Overview of the steps to enable Atoti Intelligence AI tools — setting up an LLM, Auto-Explain, Visualize This, and a custom disclaimer — in either the Atoti Java SDK or the Atoti Python SDK.
- [Set up an LLM](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/configure-and-start/set-up-an-llm.md): What a Large Language Model provides in Atoti Intelligence, why it is required, and the list of supported providers with links to the Atoti Java SDK and Atoti Python SDK setup pages.
- [Set up Auto-Explain](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/configure-and-start/set-up-auto-explain.md): What Auto-Explain is, how its root-cause analysis helps users, and links to the Atoti Java SDK and Atoti Python SDK setup pages.
- [Set up Visualize This](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/configure-and-start/set-up-visualize-this.md): What Visualize This is, how the AI assistant helps users build visualizations from natural language, and links to the Atoti Java SDK and Atoti Python SDK setup pages.
- [Set up a custom disclaimer](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/configure-and-start/set-up-a-custom-disclaimer.md): Why you may want to customize the Atoti Intelligence AI disclaimer, and links to the Atoti Java SDK and Atoti Python SDK configuration pages.

###### LLM

- [Set up Atoti Intelligence to use Amazon Bedrock in Java](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/llm/amazon-bedrock-java.md): How to add Amazon Bedrock as the LLM provider for Atoti Intelligence in an Atoti Java project via Spring AI, including the `spring-ai-starter-model-bedrock-converse` Maven dependency and `application.yaml` configuration for AWS credentials, region, and Converse API model selection.
- [Set up Atoti Intelligence to use Amazon Bedrock in Python](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/llm/amazon-bedrock-python.md): How to configure Amazon Bedrock as the LLM provider for Atoti Intelligence in an Atoti Python project, using `ConnectionConfig` and `ChatConfig` from `atoti_ai_amazon_bedrock` with `AiConfig`.
- [Set up Atoti Intelligence to use OpenAI in Java](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/llm/openai-java.md): How to add OpenAI as the LLM provider for Atoti Intelligence in an Atoti Java project via Spring AI, including the `spring-ai-starter-model-openai` Maven dependency, `application.yaml` API key and model configuration, and support for OpenAI-compatible APIs.
- [Set up Atoti Intelligence to use OpenAI in Python](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/llm/openai-python.md): How to configure OpenAI as the LLM provider for Atoti Intelligence in an Atoti Python project, using `ConnectionConfig` and `ChatConfig` from `atoti_ai_openai` with `AiConfig`, including OpenAI-compatible providers.

###### Auto-Explain

- [Set up Auto-Explain in Java](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/auto-explain/setup-java.md): How to add the Auto-Explain Spring Boot starter to an Atoti Java project, verify it in the Atoti UI, and configure it in `application.yaml`.
- [Set up Auto-Explain in Python](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/auto-explain/setup-python.md): How to enable Auto-Explain in an Atoti Python project through the `ai` plugin and `AiConfig`, access it via `Cube.auto_explain`, and tune its constants from Python.
- [Configure Auto-Explain](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/auto-explain/configuration.md): The Auto-Explain algorithm constants (`max-depth`, `max-entropy`, the contribution thresholds, and more), what each one does, and how to tune them from the Atoti Java SDK and the Atoti Python SDK.
- [How Auto-Explain works](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/auto-explain/how-it-works.md): How the Auto-Explain recursive tree-search algorithm finds root causes, the key terms (variation, contribution, entropy, depth), the algorithm steps, and a worked example.

###### Visualize This

- [Set up Visualize This in Java](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/visualize-this/setup-java.md): How to add the Visualize This Spring Boot starter to an Atoti Java project and verify that the AI assistant appears in Atoti UI.
- [Set up Visualize This in Python](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/visualize-this/setup-python.md): How to enable Visualize This in an Atoti Python project through `AiConfig` with an LLM connection and chat model.
- [Configure Visualize This](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/visualize-this/configuration.md): How to configure Visualize This — cube context and dynamic tool discovery in the Atoti Java SDK, and the chat system prompt in the Atoti Python SDK.
- [How Visualize This works](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/visualize-this/how-it-works.md): How Visualize This turns a natural-language request into a visualization — the cube context and system prompt sent to the LLM, and how the assistant builds widgets from the data model.

###### Custom disclaimer

- [Set up a custom disclaimer in Java](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/disclaimer/setup-java.md): How to customize the Atoti Intelligence AI disclaimer in an Atoti Java project through the `atoti.ai.disclaimer` application property, and the default disclaimer shown when none is defined.
- [Set up a custom disclaimer in Python](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/enable-ai-tools/disclaimer/setup-python.md): How to customize the Atoti Intelligence AI disclaimer in an Atoti Python project by passing the `atoti.ai.disclaimer` property as a JVM option through `SessionConfig.java_options`.

##### Atoti UI set up

- [How to set up the frontend](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/ui-chat/setup.md): How to add the `@activeviam/ai-extension` to the Atoti UI for Visualize This and Auto-Explain, covering the integrated `extensions.json` approach for Java projects and the standalone `package.json` and `pnpm` build approach.

##### MCP Server

- [What is the Atoti MCP server?](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/mcp-server/introduction.md): What the Atoti MCP Server is and why to use it, covering how it exposes Atoti cubes, hierarchies, measures, and custom tools to any MCP-compatible LLM client such as Claude Desktop, with no vendor lock-in via a standardized protocol.
- [How to add custom tools](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/mcp-server/custom-tools.md): How to extend the Atoti MCP Server with user-defined tools using Spring AI `@Tool`, `@ToolParam`, and `MethodToolCallbackProvider`, including an implementation example, tool method requirements, and verification steps.

###### MCP setup

- [Atoti MCP server setup guide](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/mcp-server/setup/atoti-mcp-server-setup.md): How to add the Atoti MCP Server to an Atoti Java project via the `starter-ai-mcp-server` and `mcp-server-spring` Maven dependencies, with steps to verify the MCP server initializes and the `/mcp` endpoint is accessible.
- [How to connect with Postman](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/mcp-server/setup/connect-with-postman.md): How to test and debug the Atoti MCP Server with Postman, including Basic Auth configuration, tool discovery via SSE, JSON-RPC `tools/call` POST request format, response interpretation, and custom tool validation.
- [What is the MCP credentials page?](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/mcp-server/setup/mcp-credentials-page.md)
- [How to connect with Claude](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/mcp-server/setup/connect-with-claude.md): How to configure Claude Desktop to connect to the Atoti MCP Server, including the `mcpServers` JSON configuration block, `mcp-remote` via `npx`, Base64 Basic Auth passkey generation, and tool discovery verification steps.
- [Configure oauth2 discovery](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/mcp-server/setup/configure-oauth2-discovery.md)
- [Configure oauth2 self issued](https://docs.activeviam.com/atoti-intelligence/6.1/developer-guide/mcp-server/setup/configure-oauth2-self-issued.md)
