RegalMCP
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Endpoint
Hosted endpoint · transport http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
get-brand— Fetch your brand's configuration, including telephony, compliance, and queue settings.query-regal-kb— Query the Regal knowledge base with a natural language question.list-regal-skills— List available skills.list-ai-agents— List AI agents configured for your brand, with pagination and channel-type filtering.fetch-agent— Fetch an active version of a specific agent variant, including its full configuration and prompt.fetch-latest-agent— Fetch highest version (active, draft or deactivated) of a specific agent variant; use before edit-agent for updates.version.fetch-agent-version— Fetch a specific version of an agent variant (including historical ones).list-ai-agent-variants— List all variants for a given agent, including traffic allocation.list-ai-agent-versions— List all versions for a given agent variant.fetch-test-cases— Fetch test cases associated with an agent.explore-agent-context— Returns workflow instructions for building and understanding AI agent configurations.summarize-agent-plan— Returns a plan template to guide agent design decisions.generate-agent-config— Returns section-by-section guidance for editing an agent config.get-prompting-best-practices— Returns Regal's static prompting reference for agent builders.get-ai-agent-tool-context— Returns the tool-context reference used when building agent tool configurations.fetch-simulation-transcript— Fetch the transcript from a completed simulation run.list-recordings— List call recordings, with filters for date range, agent, disposition, and phone number.fetch-recording-transcripts— Fetch transcripts for one or more recordings (up to 5 SIDs per call).get-trackers-lookup— Return the list of tracker IDs and names defined for your brand.list-dispositions— Lists dispositions in the account.list-analysis-data-points— List analysis data point definitions used for call scoring and QA.list-journeys— List journeys with search and pagination support.fetch-journey— Fetch a full journey definition, including its flow and node configuration. Webhook auth headers are redacted.list-journey-versions— List all saved versions of a journey.fetch-journey-version— Fetch a specific historical version of a journey for diffing or review.list-profile-journey-executions— List journey executions for a given contact profile.get-profile-journey-execution-nodes— Get the node-level detail of a specific journey execution.lookup-profile— Look up a contact profile by phone, email, name, or external ID. Returns multiple candidates if the query is ambiguous.fetch-profile— Fetch a full contact profile by profile ID.fetch-profile-events— Fetch event history for a contact profile, with type and cursor-based pagination.list-profile-versions— List all saved versions of a contact profile.fetch-profile-version— Fetch a specific historical snapshot of a profile.list-users— List agent and user accounts in your brand.fetch-user— Fetch a specific user account by email, including queue assignments.list-queues— List routing queues and their eligibility rules.list-tasks— List tasks by state, queue, type, or phone number, with pagination.fetch-task— Fetch a specific task by SID.get-task-events— Fetch routing event history for a task.get-routing-rules— Get routing rule definitions for your brand.get-routing-rule-versions— Get version history for a named routing rule.get-simulation-progress— Poll the progress of a running simulation.list-business-profiles— List your business profile(s).list-active-phone-numbers— Lists your Regal provisioned phone numbers.list-brandedphone-numbers— Lists your phone numbers that were uploaded for branded caller id and/or spam remediation.create-agent— Create a new AI agent.edit-agent— Edit an existing agent (saves as a draft version).create-ai-agent-variant— Create a new variant for an existing agent.set-variant-traffic-allocations— Set traffic allocation percentages across all variants of an agent.create-test-cases— Create test cases for an agent.edit-test-case— Edit an existing test case.delete-test-cases— Delete one or more test cases.start-simulation-run— Start a simulation run against an agent and a set of test cases.create-dispositions— Creates dispositions.edit-dispositions— Updates existing dispositions.create-analysis-data-point— Creates a new custom AI analysis data point.edit-analysis-data-points— Edit one or more existing custom AI analysis data points.delete-analysis-data-points— Delete one or more existing custom AI analysis data points.create-branded-phone-number— Adds a phone number for branded caller id and/or spam remediation.update-branded-phone-number— Updates a phone number for branded caller id and/or spam remediation, including registering/unregistering numbers for carriers.delete-branded-phone-number— Deletes a phone number from branded caller id and/or spam remediation.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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