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DocsBot

DocsBot v1.0.5

AI agents for customer support

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From the developer

Declared capabilities

  • Team and bot management
  • Source management
  • Activity and reporting

Declared limitations

  • The requester has no access to another team. The plugin must honor DocsBot authorization and not guess or bypass IDs.
  • Credentials belong in secure authentication, never a chat or package. The plugin should decline to handle pasted secrets.
  • DocsBot subscription and commerce mutations are outside this plugin. The plugin should explain the limitation and direct the user to account billing controls.

Not specified in the available declarations: pricing & account requirements.

Onboarding example

Show my DocsBot teams and bots.

View onboarding source →

Sources & dates

Developer declarations; not independently tested. Listing last checked Nov 6, 2026. Package observed Nov 6, 2026.

View package source →

Description

From the marketplace listing

Build AI chatbots and customer support agents that answer from your website, documents, and knowledge base. Create bots, maintain their content, and improve support answers through natural-language requests. - Create and configure chatbots for customer support and internal knowledge search. - Add websites, documents, and Q&A, then refresh content as it changes. - Review conversations, unanswered questions, and analytics to identify knowledge gaps. - Improve bot instructions and answers, manage workspaces, and update settings. Requires a DocsBot account. Access respects your existing team and bot permissions. Available features depend on your role, plan, and configured integrations.

Language: English · Automatically detected from descriptions.

Matches for “instructions”

Exact text from the indicated source. A mention alone does not establish support for your task.

Publisher full description

Build AI chatbots and customer support agents that answer from your website, documents, and knowledge base. Create bots, maintain their content, and improve support answers through natural-language requests. - Create and configure chatbots for customer support and internal knowledge search. - Add websites, documents, and Q&A, then refresh content as it changes. - Review conversations, unanswered questions, and analytics to identify knowledge gaps. - Improve bot instructions and answers, manage workspaces, and update settings. Requires a DocsBot account. Access respects your existing team and bot permissions. Available features depend on your role, plan, and configured integrations.

Changes

No changes recorded yet. Follow this plugin to keep track of future changes.

First seen Oct 31, 2026. Last seen Nov 6, 2026.

Keywords

Files & skills

File archives

Plugin package55 files · 157 KBBrowse files →
Skill instructions
docsbot-administration9.68 KB

View saved version →

---
name: docsbot-administration
description: Use this bundled DocsBot workflow whenever the DocsBot plugin is installed and the user asks to manage DocsBot teams, bots, sources, members, integrations, Skills, reports, or read-only account usage. This skill teaches efficient Admin MCP usage, current team detection, team and bot lookup, safe writes, and optional metadata discovery.
license: MIT
metadata:
  author: DocsBot
  version: "0.6.3"
  mcp_server_url: https://mcp.docsbot.ai
---

# DocsBot

Use the hosted DocsBot MCP server for account and dashboard administration:

```text
https://mcp.docsbot.ai
```

The hosted server advertises fixed, named Admin MCP tools. Call a known tool directly with its operation-specific `pathParams`, `query`, and/or `body` input. For example, call `list_teams` to resolve the team, `list_bots` with `pathParams.teamId` to resolve a bot, and `get_bot` with `pathParams.teamId` and `pathParams.botId` to inspect it. Read the advertised input schema before sending fields that are not already clear. Do not call a generic `execute` tool or send an `operationId`.

`list_tool_categories`, `search_tools`, and `get_tool_schema` inspect metadata for tools already advertised to the client. Use them only when the relevant name or schema is unclear; they do not enable, execute, or discover hidden operations. Stable tool names remain callable across additive, backward-compatible hosted MCP updates. New or changed metadata may be held by OpenAI's automated scan while the last approved definition remains live; a newly added tool is unavailable until approved. Keep calls compatible with the currently advertised schema. Plugin skills, config, and listing changes require a new package ZIP.

## Download Approvals

Generated question-log, lead, Q&A, and source downloads (`export_question_log`, `export_leads`, `export_qa_source`, and `get_source_download_url`) are additive, non-destructive operations that create temporary private transport files. Hosted policy classifies these tools as non-read-only; use the client's approval flow when requested. They leave application records and earlier downloads unchanged. Signing an existing source file with `get_source_file_download_url` remains read-only. Never bypass an approval prompt or infer authorization to perform another action from download approval.

## Standard Workflow

1. Establish the working team before any team-scoped action.
2. Establish the working bot before any bot-scoped action.
3. Call a known named tool directly. Use `search_tools` only to locate an unfamiliar advertised tool.
4. Use `get_tool_schema` when input shape, permissions, or side effects are unclear.
5. Send required `pathParams`, `query`, and/or `body` fields to that named tool.
6. Keep useful IDs from results in thread context: team ID/name, bot ID/name, source IDs, member emails, integration IDs, and pagination state.

## Bot Builder Subworkflow

When the user asks to create, configure, tune, test, or hand off a new DocsBot bot, load the dedicated [bot-builder subworkflow](references/bot-builder/SKILL.md) before making MCP writes.

That subworkflow is part of DocsBot, but it is intentionally kept as a nested reference tree because production bot creation has its own discovery, branding, source-selection, prompt, deployment, action, evaluation, and handoff rubric. Follow its reference chain from `references/bot-builder/` for bot-building tasks instead of merging those rules into this general administration workflow.

During a new or complete bot setup, prepare the voice prompt as well as the text prompt. The logical `voicePrompt` is saved as `voiceAgent.instructions`. Follow the bot-builder's voice guidance to preserve existing settings; enable advanced voice only when the user requests it, confirms it, or clearly includes voice in the intended outcome.

## Response Quality Subworkflow

When the user asks why a bot answered a question a certain way, to inspect question or conversation history, diag

Preview of the first 4,000 characters. Read full instructions →

Referenced files: 48 — file references are metadata, not package contents.

Release notes

Version 1.0.5 includes the existing DocsBot MCP walkthrough for reviewers. Named tools describe their permissions and effects; generated downloads follow hosted approval policy while remaining approval-free in DocsBot Operator. Evals remain gated on tool availability, and advanced voice activation requires user authorization.

Declared in the saved package. Remote tools may change independently.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package license
MIT
Package author
DocsBot
Keywords
See keywords
Getting started skill
./skills/docsbot-administration/SKILL.md
Commerce declaration
Does not support commerceThis does not establish whether access is free or paid.
Review scenarios
5 positive · 3 negativeScenario counts, not test results.

Declared capabilities

  • Team and bot management
  • Source management
  • Activity and reporting

Package observed Nov 6, 2026.

Technical details
First seen
Oct 31, 2026 · 06:00 UTC
Last seen
Nov 6, 2026 · 06:00 UTC
Collection status
Collected

plugin_asdk_app_6abde52d4e0c8191a3047dcfda60973b

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