Weaviate MCP server

Connect Weaviate to Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini, GitHub Copilot and any other MCP client, for your whole team. Metorial adds security, governance, and tracing, and gives everyone one Magic MCP URL to connect.

What you can do with the Weaviate MCP server

Ask your agent in plain language. Each of these maps to a real tool on the server.

  • Use the list objects tool in Weaviate
  • Use the search objects tool in Weaviate
  • Use the get collection tool in Weaviate
  • Use the update object tool in Weaviate
  • Use the create collection tool in Weaviate
  • Use the aggregate collection tool in Weaviate

Supported Tools

list_objects

List Objects

List objects from a collection using the REST API. Supports pagination via limit/offset or cursor-based pagination. Use this for simple object retrieval without search ranking; for search use the **Search Objects** tool instead.

search_objects

Search Objects

Search for objects in a Weaviate collection using various search methods: - **nearText**: Semantic search using natural language concepts (requires a text vectorizer) - **nearVector**: Search by raw vector similarity - **nearObject**: Find objects similar to an existing object - **hybrid**: Combined vector + keyword search with configurable weighting - **bm25**: Pure keyword search using BM25 ranking Exactly one search method must be provided. Results can be filtered with a where clause and paginated with limit/offset.

get_collection

Get Collection

Retrieve the full schema definition of a specific collection, including its properties, vectorizer configuration, module settings, vector index type, and multi-tenancy configuration.

update_object

Update Object

Update an existing object's properties in a collection. Use **replaceAll** mode to replace all properties (PUT), or **patch** mode to merge only the provided properties (PATCH).

create_collection

Create Collection

Create a new collection (class) in Weaviate with its schema definition. Configure properties, vectorizer, generative module, vector index settings, and multi-tenancy. The vectorizer cannot be changed after creation. Generative configuration is mutable on supported server versions.

aggregate_collection

Aggregate Collection

Run aggregation queries over a collection to compute metrics like counts, sums, averages, min/max, top occurrences, and more. Supports grouping by a property and filtering with a where clause. Provide the GraphQL metric selection and optional aggregation filters. Requires GraphQL to be enabled on the cluster.

batch_delete_objects

Batch Delete Objects

Delete multiple objects from a collection that match a given where filter. Supports dry-run mode to preview which objects would be deleted without actually removing them.

list_collections

List Collections

List all collections (classes) in the Weaviate instance. Returns each collection's name, description, properties, vectorizer, and configuration.

update_collection

Update Collection

Update an existing collection's settings or add new properties. You can update the description, inverted index config, replication config, and add new properties. The vectorizer cannot be changed and properties cannot be removed. Replication factor changes require replica movement.

get_object

Get Object

Retrieve a specific object from a collection by its UUID. Optionally include vector embeddings in the response.

cluster_status

Cluster Status

Get comprehensive information about the Weaviate instance including version, module list, cluster health, and node statuses with shard and object counts.

batch_create_objects

Batch Create Objects

Import multiple objects into one or more collections in a single batch request. Optionally include pre-computed vectors for each object. Supports multi-tenant collections.

create_object

Create Object

Create a new data object in a Weaviate collection. Optionally provide a pre-computed vector embedding, or let the configured vectorizer generate one automatically. Supports multi-tenant collections by specifying the tenant name.

delete_object

Delete Object

Delete a specific object from a collection by its UUID. This permanently removes the object and its vector embedding.

delete_collection

Delete Collection

Permanently delete a collection and all its objects from the Weaviate instance. This action cannot be undone.

manage_backup

Manage Backup

Create, restore, or check the status of a Weaviate backup. Supports S3, GCS, Azure, and filesystem backends. - **create**: Start a new backup of all or selected collections. - **restore**: Restore a previously created backup. - **status**: Check the status of a backup or restore operation.

manage_tenants

Manage Tenants

Manage tenants in a multi-tenant collection. Supports listing, adding, updating status, and removing tenants. Each tenant provides data isolation with its own shard. Tenant statuses: **ACTIVE** (available), **INACTIVE** (stored locally but not loaded), **OFFLOADED** (moved to cold storage).

manage_references

Manage Cross-References

Add or remove cross-references between objects across collections. Cross-references create links between objects, enabling graph-like data traversal.

get_current_user

Get Current User

Get the authenticated Weaviate username, assigned roles, and groups. Requires a server that supports the current-user endpoint.

Connect Weaviate to your AI client

Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.

  1. Enable Weaviate in Metorial. In your Metorial portal, enable the Weaviate MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
  2. Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
  3. Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
  4. Sign in. Select Add and sign in to load Weaviate tools.

Run Weaviate through the Metorial gateway

One governed layer for every app your agents reach, not a separate connector per tool.

  • Give Weaviate and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Weaviate tools with role-based access control, and trace every call.
  • Prefer to run it yourself? Metorial is open source and self-hostable.

More integrations teams use with Weaviate

Google Sheets

Create, read, and update spreadsheets and their cell data. Read and write values to individual cells, ranges, or multiple ranges using A1 notation or named ranges. Apply cell formatting including text styles, backgrounds, borders, number formats, and conditional formatting. Manage sheets (tabs) within a spreadsheet—add, delete, copy, rename, and reorder them. Create and manage embedded charts, pivot tables, filter views, data validation rules, protected ranges, named ranges, and merged cells. Perform batch operations to apply multiple updates atomically.

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Resolve site users to numeric Person/Group LookupId values. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Retrieve site properties and search for sites across Microsoft 365.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Google Drive

Upload, download, create, copy, move, rename, trash, and permanently delete files and folders in Google Drive. Search for files using complex queries filtering by name, MIME type, owner, modification date, labels, and other metadata. Share files and folders with specific users, groups, or domains with role-based permissions (owner, writer, commenter, reader). Manage shared drives and their members. Export Google Workspace files (Docs, Sheets, Slides) to standard formats like PDF, DOCX, and XLSX. Track file revision history and restore earlier versions. Create, read, update, and delete threaded comments and replies on files. Read label definitions and search files by label. Browse the Drive apps installed for your account. Store app-specific data in a hidden per-user folder.

Technical notes for Weaviate

Store, search, and manage data objects with vector embeddings in an AI-native vector database. Create and configure collections with vectorizers and generative modules. Import objects individually or in batches with automatic or custom vector embeddings. Perform semantic (vector) search, hybrid search combining vector and keyword (BM25) matching, and filtered queries. Execute retrieval augmented generation (RAG) using integrated LLMs. Aggregate data across collections for statistical metrics. Manage multi-tenant data isolation, create and restore backups, and discover the authenticated user identity. Monitor cluster health and node status.

Frequently asked questions

Common questions about connecting Weaviate to AI agents with Metorial.

  1. How many tools does the Weaviate MCP server have?
    The Weaviate MCP server exposes 20 tools, including List Objects, Search Objects, Get Collection. Each one is governed and traced through Metorial.
  2. Weaviate exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
  3. Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Weaviate MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Weaviate and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Weaviate MCP server yourself or use the hosted gateway.

Connect Weaviate to production AI agents

See how Metorial gives your team governed access to Weaviate, with tracing and security controls built in.