Weav MCP Server documentation
- ✓Actively maintained (<30d)
- ✓Topics declared
- ✓Documented (README)
- !No standard license detected
git clone https://github.com/dubdubdubco/weav-mcp-server{
"mcpServers": {
"weav": {
"command": "node",
"args": ["/path/to/weav-mcp-server/dist/index.js"]
}
}
}MCP Servers overview
# Weav.com Model Context Protocol (MCP) Learn how to use the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) to enable AI agents to securely access and interact with your Weav workspace. The Weav MCP server is available for Weav workspaces. This repository documents the **workspace** server (`com.weav/mcp` at `https://mcp.weav.com/mcp`). A separate public server answers pricing and product questions without login: | Server | URL | Auth | Registry | |---|---|---|---| | Weav (this repo) | `https://mcp.weav.com/mcp` | OAuth | `com.weav/mcp` | | Weav Customer Service | `https://weav.com/mcp` | None | `io.github.dubdubdubco/weav-customer-service` | The public server cannot read inbox, customers, training data, or Help Center data. Source: [dubdubdubco/weav-site-mcp](https://github.com/dubdubdubco/weav-site-mcp). ## What is Model Context Protocol? MCP is a protocol that enables AI tools and applications to connect with Weav's data and services in a secure, standardized way. It provides a structured method for AI models to: - Find and retrieve Weav data (conversations, customers, agent training data, Help Center articles) - Access specific tools and functionality provided by Weav - Maintain context about your Weav workspace when working with AI assistants ## How MCP Works Weav hosts a remote MCP server that follows the authenticated remote MCP specification ([docs](https://modelcontextprotocol.io/specification/2025-03-26/basic/authorization)). This server handles requests from AI tools and provides access to Weav data through a secure interface. **Connection URL:** - **Streamable HTTP**: `https://mcp.weav.com/mcp` When an AI tool or application needs to access Weav data: 1. The tool connects to Weav's MCP server 2. A workspace admin or owner completes OAuth consent in the browser 3. The tool can then access relevant Weav data and functionality for that workspace 4. The connection remains live until it is revoked ## Benefits of Using MCP - **Secure Access**: All data access is authenticated and authorized. Only a workspace admin or owner can finish consent. - **Standardized Interface**: Consistent interaction pattern across different AI tools - **Contextual Understanding**: AI assistants maintain awareness of your Weav inbox, customers, agent training data, and Help Center - **Increased Development Efficiency**: Triage conversations, reply to customers, and manage agent training data and Help Center articles from the AI tools you already use ## Available Tools The Weav MCP server provides **37 tools** for interacting with your workspace: 4 conversation tools, 2 customer tools, 5 agent training data tools, and 26 Help Center tools. ### Conversations #### **search_conversations** Search support conversations the same way the Weav inbox does. **Key Features:** - Matches subject, customer name, or email - Only returns conversations that have at least one message - Spam is excluded unless `spam` is `true` - Optional filters: `status` (`open`, `closed`), `channel` (`email`, `chat`), `limit` (1–50) #### **get_conversation** Get a conversation, including recent messages. **Key Features:** - Use the conversation UUID returned from `search_conversations` - Returns conversation metadata and recent message history #### **send_reply** Post a reply to a conversation as a workspace teammate. **Key Features:** - Requires `conversation_id` and `content` - Sends the reply in the connected workspace #### **update_conversation** Update a conversation's status, priority, or assignee. Does not delete conversations. **Key Features:** - `status`: `open` or `closed` - `priority`: `low`, `normal`, `high`, or `urgent` - `assignee_id` plus `assignee_type` (`user` or `agent`); omit to leave unchanged, send `null` to unassign ### Customers #### **search_customers** Search customers by name or email. **Key Features:** - Optional `query` and `limit` (1–50) #### **get_customer** Get a customer profile, company, and recent conversations. **Key Features:** - Use the customer UUID returned from `search_customers` ### Agent training data These are the sources Weav AI agents answer from, separate from the public Help Center managed by the `kb_*` tools. #### **search_training_data** Search agent training data items by title, description, type, or source. **Key Features:** - Optional `type` filter: `text`, `url`, `file`, `video`, `qa` - Optional `limit` (1–50) #### **get_training_data** Get a single training data item. **Key Features:** - Use the training data UUID returned from `search_training_data` #### **add_training_data** Add agent training data as text, Q&A, or a website URL. Every agent in the workspace is given access automatically. **Key Features:** - `type`: `text`, `qa`, or `url` - `url` crawls the website and trains on discovered pages - `urls` trains only the listed pages, without crawling the rest of the site #### **delete_training_data** Delete a training data item. **Key Features:** - For website/URL sources, also deletes discovered URLs and chunks #### **resync_training_data** Re-scrape an existing URL training data item. **Key Features:** - Requires the training data UUID of a URL source ### Help Center knowledge base The `kb_*` tools manage the workspace's public Help Center articles and categories, separate from agent training data managed by `*_training_data`. **Browse** #### **kb_get_overview** Get counts and available locales for the Help Center. **Key Features:** - No parameters - Includes the sections in display order #### **kb_list_categories** List Help Center categories. **Key Features:** - Optional `limit` (1–50, default 20) and `page` (default 1) #### **kb_list_sections** List Help Center sections in display order. **Key Features:** - Optional `limit` (1–50, default 20) and `page` (default 1) #### **kb_list_articles** List Help Center article summaries. **Key Features:** - Optional filters: `category_id` or `uncategorized`, `status` (`draft`, `published`), and `locale` - Optional `limit` (1–50, default 20) and `page` (default 1) #### **kb_search_articles** Search Help Center article titles and content. **Key Features:** - Required `query` (1–255 characters) - Optional filters: `locale`, `status` (`draft`, `published`), `category_id` or `uncategorized` - Optional `limit` (1–50, default 20) and `page` (default 1) #### **kb_get_article** Get a full Help Center article and its translation content. **Key Features:** - Required `article_id`; optional `locale` **Revisions** #### **kb_list_article_revisions** List revision summaries for an article. **Key Features:** - Required `article_id`; optional `locale`, `limit` (1–50, default 20), and `page` (default 1) #### **kb_get_article_revision** Get a revision's full content. **Key Features:** - Required `article_id` and `revision_id` #### **kb_restore_article_revision** Restore an article translation from a prior revision. **Key Features:** - Required `article_id` and `revision_id`; optional `expected_version` - Saves the current translation as a revision before restoring **Improvement proposals (read-only)** #### **kb_list_proposals** List Help Center improvement proposals. **Key Features:** - Optional `status` (`pending`, `needs_decision`, `published`, `dismissed`, `ignored`); ignored proposals are omitted by default - Optional `limit` (1–50, default 20) and `page` (default 1) #### **kb_get_proposal** Get full details for an improvement proposal. **Key Features:** - Required `proposal_id` **Articles** #### **kb_create_article** Create a Help Center article. **Key Features:** - Requires at least one `translations` entry with `locale`, `title`, and Markdown `content`; `excerpt` and `slug` are optional - `excerpt` is also used as the meta description - Translation entries optionally accept `seo_title` (search/social title; the page heading stays `title`), `noindex` (hide from search engines), `canonical_url` (absolute HTTP(S) URL), and `og_image_url` (HTTPS social preview image) - Optional `category_id`, `position`, and `status` (`draft` or `published`) #### **kb_update_article** Update a Help Center article. **Key Features:** - Required `article_id`; optional `expected_version`, `category_id`, `position`, `status`, and `translations` - Translation entries accept the same optional SEO fields as `kb_create_article`; `excerpt` is also used as the meta description - Send `category_id: null` to uncategorize; omit it to keep the current category - Content edits to an existing locale save a revision; SEO-only edits do not. A new locale needs `title` and `content` #### **kb_publish_article** Publish an article immediately. **Key Features:** - Required `article_id`; optional `expected_version` #### **kb_unpublish_article** Return a published article to draft. **Key Features:** - Required `article_id`; optional `expected_version` #### **kb_delete_article** Soft-delete a Help Center article. **Key Features:** - Required `article_id`; optional `expected_version` #### **kb_delete_article_translation** Delete one translation from an article. **Key Features:** - Required `article_id` and `locale`; optional `expected_version` - The article must retain at least one translation #### **kb_reorder_articles** Set the order of all articles in one category group. **Key Features:** - Required `ids` containing all article UUIDs in the desired order - Optional `category_id`; omit it or send `null` for uncategorized articles **Sections** #### **kb_create_section** Create a Help Center section. **Key Features:** - Required `name`; optional `slug` and `position` #### **kb_update_section** Update a Help Center section. **Key Features:** - Required `section_id`; optional `name`, `slug`, and `position` #### **kb_delete_section** Delete a Help Center section. **Key Features:** - Required `section_id`; its categories become unsectioned
What people ask about weav-mcp-server
What is dubdubdubco/weav-mcp-server?
+
dubdubdubco/weav-mcp-server is mcp servers for the Claude AI ecosystem. Weav MCP Server documentation It has 0 GitHub stars and its last recorded update is dated 2026-10-12.
How do I install weav-mcp-server?
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You can install weav-mcp-server by cloning the repository (https://github.com/dubdubdubco/weav-mcp-server) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is dubdubdubco/weav-mcp-server safe to use?
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Our security agent has analyzed dubdubdubco/weav-mcp-server and assigned a Trust Score of 65/100 (tier: OK). See the full breakdown of passed checks and flags on this page.
Who maintains dubdubdubco/weav-mcp-server?
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dubdubdubco/weav-mcp-server is maintained by dubdubdubco. The last recorded GitHub activity is dated 2026-10-12, with 0 open issues.
Are there alternatives to weav-mcp-server?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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