Ask your agent in plain language. Each of these maps to a real tool on the server.
rerank_documents
Rerank a list of documents by semantic relevance to a query using Cohere's Rerank models. Useful for improving search quality by re-ordering results from any existing search system based on meaning rather than keyword matching.
delete_dataset
Delete a dataset from your Cohere account by its ID. Datasets are automatically deleted after 30 days, but this allows immediate removal.
cancel_embed_job
Cancel an active embed job. You will be charged for embeddings processed up to the cancellation point.
chat
Generate text responses using Cohere's Command family of models. Supports multi-turn conversations with system prompts, tool use for calling external APIs, and retrieval augmented generation (RAG) with inline citations. Can be configured for reasoning tasks with adjustable thinking budgets.
create_embed_job
Launch an asynchronous batch embedding job to embed a large dataset (100K+ documents). Results are stored as a new hosted dataset. Best suited for encoding large corpora for retrieval use cases.
tokenize_text
Split text into tokens using byte-pair encoding (BPE) for a specific Cohere model. Useful for estimating costs, understanding how a model processes input, and checking token limits before making API calls.
list_models
List available Cohere models with their capabilities. Filter by endpoint type (chat, embed, rerank, etc.) to find models compatible with a specific use case.
list_embed_jobs
List all embed jobs in your Cohere account, including their status, model, and associated datasets.
detokenize_tokens
Convert an array of token IDs back into text using a specific Cohere model's tokenizer. The inverse of tokenization.
get_dataset
Retrieve details about a specific dataset by its ID, including its type, validation status, and metadata.
list_datasets
List datasets stored in your Cohere account. Datasets are used for batch embedding jobs and can be filtered by type, date, and validation status.
embed_text
Generate embeddings using Cohere's Embed models for text, image data URIs, or mixed text/image inputs. Returns vector representations useful for semantic search, classification, clustering, and similarity comparisons. Supports configurable dimensionality and multiple output formats.
get_embed_job
Get the current status and details of a specific embed job by its ID.
transcribe_audio
Transcribe speech from an uploaded audio file using Cohere Transcribe. Supports the current Cohere audio transcription endpoint for automatic speech recognition.
get_dataset_usage
View total Cohere hosted dataset storage usage for the organization.
create_dataset
Create a Cohere hosted dataset by uploading a CSV, JSONL, or text file. Embed-input datasets can be used later with batch embed jobs.
get_model
Retrieve detailed metadata for a Cohere model, including supported endpoints, context length, tokenizer URL, feature flags, and default sampling parameters.
Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.
{"mcpServers": {"metorial": {"url": "<your-magic-mcp-url>"}}}
claude mcp add --transport http metorial <your-magic-mcp-url>
codex mcp add metorial --url <your-magic-mcp-url>codex mcp login metorial
One governed layer for every app your agents reach, not a separate connector per tool.
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.
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.
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.
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.
Track, manage, and resolve application errors and performance issues. List, query, and bulk-update issues and error events with filters like status, assignment, and tags. Create and manage releases, associate commits, and upload source maps. Configure issue alert rules and metric alert rules with notification actions. Set up cron monitors to detect missed or failed scheduled jobs. Build custom dashboards with configurable widgets. Run ad-hoc Discover queries across errors and transactions for performance analysis. Manage organizations, teams, projects, and members. Provision users via SCIM. Access session replay data.
Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.
Generate text and chat completions using Cohere's Command family of large language models, with support for multi-turn conversations, retrieval augmented generation (RAG), tool use, reasoning, vision, structured output, and translation. Create text and image embeddings for semantic search, classification, and clustering. Rerank search results by semantic relevance. Transcribe speech audio. Manage batch embedding jobs and datasets for large-scale document processing. Tokenize and detokenize text for cost estimation. List available models and their capabilities.
Common questions about connecting Cohere to AI agents with Metorial.
