What is DocsBot AI MCP?

It's an MCP (Model Context Protocol) server that connects DocsBot AI to your AI, giving the agent tools to act on your data — through a single remote link.

Which AI clients does it work with?

Any MCP-compatible client: Claude (web, desktop and mobile), Cursor, ChatGPT with connectors, OpenClaw and other agents.

No. Paste the remote URL into your client, authenticate once, and you're done — no packages to install, no code to write.

Is it secure? Can the AI change my data?

Access is authorized by you and can be revoked anytime. Permissions follow what DocsBot AI exposes; you approve them when connecting.

How much does it cost?

You start free and upgrade when you need more usage. Billing and limits are managed in your mcp.ai account.

Can I cancel anytime?

Yes. Plans are monthly and can be cancelled at any time, with no lock-in.

DocsBot AI MCP Server and REST API

DocsBot AI

Connect your DocsBot AI account and use 38 tools for AI chatbots straight from your AI agent. Connect with your own API key. DocsBot AI enables the creation of custom chatbots trained on your documentation, facilitating automated customer support and content generation.

Install in your client

MCP server URL

https://api.mcp.ai/p_docsbot_ai

Secure connection via OAuth 2.0

Tools (38)

For developers

API & agent docs

Machine-readable docs to plug this server into an agent or call it over REST.

Skill (how to use)

Markdown: use via MCP or via the direct REST API.

Open

llms.txt

Agent-readable spec of this server.

Open

For agents

Install prompt — paste into Claude, ChatGPT, Cursor or any MCP agent and it sets itself up.

Open

Postman collection

Import the REST API into Postman.

Download

FAQ

DocsBot AI

Tools (38)

API & agent docs

Frequently asked questions

Example prompts

Related tags

DocsBot AI

Tools (38)

docsbot_ai_capture_conversation_leadTool to capture lead information by updating conversation metadata and saving the lead. Works whether or not the conversation has been created yet.

docsbot_ai_create_botTool to create a new bot within a team. Use when you have a valid team ID and want to provision a new bot.

docsbot_ai_create_sourceTool to create a new source for a bot. Sources can be URLs, files, sitemaps, and other types. Use when you have content to add to a bot's knowledge base. For file-based sources, first upload the file

docsbot_ai_create_webhookTool to create a new webhook subscription for a bot. Use when you want to receive real-time notifications for specific events (lead.created, deep_research.done, conversation.escalated, conversation.ra

docsbot_ai_delete_botTool to delete a specific bot by its ID. Use after confirming the bot ID is correct to permanently remove a bot from the system.

docsbot_ai_delete_conversationTool to delete a specific conversation by its ID. Use after confirming the conversation ID is correct to permanently remove a conversation. Requires edit permission.

docsbot_ai_delete_leadTool to delete a specific lead by ID. Use after confirming the lead ID to permanently remove a lead record from the system.

docsbot_ai_delete_questionTool to delete a specific question from history. Use after confirming the question ID to permanently remove a question log entry from the system.

docsbot_ai_delete_sourceTool to delete a specific source from a bot by its ID. Use after confirming the source ID is correct to permanently remove a source from the bot's knowledge base.

docsbot_ai_delete_webhookTool to delete a webhook (unsubscribe) by its ID. Use after confirming the webhook ID is correct to permanently remove a webhook subscription.

docsbot_ai_docsbot_conversation_ticket_creationGenerates a structured support ticket from a Chat Agent conversation. Use this tool to convert an existing bot conversation into a formatted helpdesk ticket containing a subject line and message body

docsbot_ai_get_botTool to fetch details of a specific bot by ID within a team. Use after confirming valid team and bot IDs.

docsbot_ai_get_bot_reportsTool to retrieve monthly statistical reports for a bot. Returns question resolution metrics for a selected month. Use this to analyze bot performance and track question resolution trends over time.

docsbot_ai_get_bot_statsTool to retrieve comprehensive statistics and analytics for a bot over a time period or date range. Returns key metrics (resolution rate, deflection rate, time saved), time series data for questions a

docsbot_ai_get_sourceTool to retrieve detailed information about a specific source by its ID. Use when you need complete metadata about a source including indexed URLs, FAQs, and processing status.

docsbot_ai_get_teamTool to fetch details of a specific team by its ID. Use when you need full team info including members and settings after confirming the team ID.

docsbot_ai_get_upload_urlGet a presigned upload URL for uploading files as sources. Use this before uploading large files to DocsBot. The workflow is: 1) Get upload URL, 2) Upload file to the URL, 3) Create source with the fi

docsbot_ai_get_webhookTool to retrieve details of a specific webhook by ID. Use when you need webhook configuration, delivery status, or subscription details.

docsbot_ai_list_botsList all bots for a given team. Returns detailed information about each bot including configuration, statistics, and status. Use this action to discover available bots before performing operations lik

docsbot_ai_list_conversationsTool to list conversation history for a bot with pagination. Returns a limited subset of conversation properties including titles, timestamps, sentiment, and status. Use this to discover conversations

docsbot_ai_list_leadsTool to list captured leads for a bot with pagination and date filtering. Use after confirming valid team and bot IDs. Example: "List leads for bot abc123 starting from 2024-01-01."

docsbot_ai_list_questionsTool to list all questions asked of a specific bot. Use after confirming the bot's identifier. Example: "List questions for bot abc123 with status 'unanswered'."

docsbot_ai_list_research_jobsTool to list all deep research jobs for a bot with pagination support. Use after confirming valid team and bot IDs. Returns details about each research job including status, question, and timestamps.

docsbot_ai_list_sourcesRetrieves a paginated list of all sources for a specific bot within a team. Sources are the content (URLs, files, sitemaps, etc.) that have been indexed for the bot's knowledge base. Use this to see w

docsbot_ai_list_team_membersTool to list all members of a team including their roles. Use when you need to see who has access to a team and their permission levels.

docsbot_ai_list_teamsTool to list all teams. Use when you need to retrieve every team associated with the authenticated user.

docsbot_ai_list_webhooksList all registered webhooks for a bot. Returns webhook configurations including target URLs, subscribed events, and status. Use this action to discover configured webhooks before creating, updating,

docsbot_ai_rate_answerTool to rate an answer from chat APIs as positive (1), neutral (0), or negative (-1). Use when recording user feedback on bot responses for statistics shown in chat logs.

docsbot_ai_refresh_sourceTool to refresh a source to re-index its content. Use when a source needs to be updated with the latest content from its origin. Only works with failed sources for retry purposes.

docsbot_ai_search_semanticTool to perform semantic search on a bot's indexed content. Returns the most relevant source chunks for a query. Use when you need to search the bot's knowledge base without triggering a full conversa

docsbot_ai_test_escalated_webhookTool to trigger a test delivery of the conversation.escalated webhook. Use to verify webhook configuration is working correctly.

docsbot_ai_test_lead_webhookTool to trigger a test lead webhook delivery. Use when you need to test webhook integration for lead capture events. Requires owner or admin permissions.

docsbot_ai_test_research_webhookTool to trigger a deep research webhook delivery test. Use to verify webhook configurations are working correctly.

docsbot_ai_trigger_rated_webhook_testTool to trigger a conversation.rated webhook delivery test for a specific bot. Use when you need to test webhook integration for conversation rating events.

docsbot_ai_update_botUpdate a bot's configuration settings such as name, description, model, temperature, and appearance. Only fields provided in the request will be modified; omitted fields remain unchanged. Requires val

docsbot_ai_update_teamTool to update specific fields for a team. Use after confirming the team ID when you need to change the team's name or OpenAI API key. Returns the updated team record.

docsbot_ai_update_webhookTool to update a webhook's status, target URL, label, or expiration date. Use when you need to modify webhook configuration. Requires valid team_id, bot_id, and webhook_id. Only provided fields will b

docsbot_ai_upload_file_to_cloud_storageUpload a file to cloud storage via a presigned URL. Use this tool after obtaining a presigned upload URL from the DocsBot API (GET /teams/:teamId/bots/:botId/upload-url?fileName=FILENAME). The workflo

API & agent docs

Frequently asked questions

What is DocsBot AI MCP?

Which AI clients does it work with?

Do I need to code?

Is it secure? Can the AI change my data?

How much does it cost?

Can I cancel anytime?

Example prompts

Related tags