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DevTune exposes a Model Context Protocol (MCP) server so that AI agents can query your AI search visibility data directly. This lets agents like Codex, Claude, Cursor, and other MCP-compatible tools access your metrics and data directly.

Server URL

The server uses Streamable HTTP transport at:
The MCP server supports two setup paths:
  • OAuth for interactive tools like Codex
  • API key for non-interactive agents, CI jobs, or clients without OAuth support

Setup

Codex

Codex users can install the DevTune plugin from the DevTune plugin marketplace:
After adding the marketplace:
  1. Restart Codex
  2. Open the plugin list
  3. Install the DevTune plugin
  4. Sign in when Codex opens the browser authorization flow
  5. Select the DevTune project the plugin should access
Once authorized, ask Codex to use DevTune for visibility summaries, citations, competitive positioning, actions, traffic, adoption metrics, or content gaps.

Other OAuth MCP Clients

Use this configuration when your MCP client supports OAuth:
When your client prompts for authorization, sign in to DevTune, select a project, and approve access.

API Key

Use API keys for non-interactive agents, CI jobs, or clients without OAuth support. Pass your key in the Authorization header:

Claude Desktop

Add to your Claude Desktop config file: macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

Cursor

Open Settings > MCP Servers > Add Server, or edit .cursor/mcp.json:

Claude Code

REST vs MCP

Use REST when you are building an app, job, warehouse sync, dashboard, or webhook consumer. Use MCP when an AI agent should inspect DevTune data and decide what to do next inside a workflow.

Available Tools

Each windowed tool accepts windowDays with fixed rolling windows and returns JSON data. Public MCP tools support only 30 and 90 day windows. Tool access depends on the project and permissions from your connection:
  • OAuth connections use the project you selected during setup and your DevTune role
  • API key connections use the project and permissions assigned to the key
Write-capable tools, including devtune_generate_action_brief, require permission to manage actions for the selected project. devtune_get_content_gaps maps to GET /api/v2/projects/{projectId}/content-gaps/list. It exposes topic and prompt-cluster signals from the Actions system, including signalStrength, component metrics, and bounded evidence. Workflow state, briefs, interventions, and opportunityScore stay on the Actions tools.

Tool Inputs

For devtune_get_actions, the most useful filters are:
  • detailLevel: summary or context; summary is default
  • surface: recommendation or backlog
  • status: active, backlog, in_progress, blocked, done, canceled
  • aliases: open, completed, and dismissed map to backlog, done, and canceled
  • priority and channel for narrower work queues
Use detailLevel: "context" when the agent needs to understand why an action matters before deciding what to do. Context responses are capped to keep tools fast and predictable: up to 3 evidence blocks and 5 citation/source references per action, plus scores, metrics, brief readiness, and follow-up links. For all windowed MCP tools, windowDays accepts 30 or 90 and defaults to 30. Citation top-list tools and content gaps use cursor pagination and return nextCursor when another page is available. Citation top-list tools support simple prefix search on URL and domain. devtune_get_citation_stats returns aggregate totals only and does not accept pagination or search inputs. Unsupported parameters such as 60, 365, searchMode, classifications, severity, arbitrary sort fields, and page-based pagination are rejected instead of being handled downstream.

Which Tool Should I Use?

Generating Action Briefs

devtune_generate_action_brief is the MCP write operation for the Actions workspace. It takes the following inputs: When project content preferences are enabled, briefStyle must respect the project’s allowed and blocked formats. Requests for blocked formats are rejected instead of silently generating the blocked style. The tool is idempotent for a ready or already-running brief:
  • If the brief is ready, it returns status: "ready"
  • If generation is already running, it returns status: "generating"
  • If generation can start, it queues background work and returns status: "queued"
The response includes success, message, actionId, and, when queued, an eventId. Use devtune_get_action_brief afterward to poll for readiness and retrieve the generated markdown.

Example Prompts

Once connected, you can ask your AI agent questions like:
  • “What is my current share of voice across AI platforms?”
  • “Show me the competitive position trend for the last 30 days”
  • “Show my top citation pages and domains for the last 90 days”
  • “Summarize my aggregate citation stats for the last 30 days”
  • “List active recommendations for this project”
  • “Load the stored brief for action 6f1e2d3c-1a2b-4c5d-8e9f-0123456789ab and summarize the execution plan”
  • “Generate the action brief for action 6f1e2d3c-1a2b-4c5d-8e9f-0123456789ab”
  • “Show backlog items that are blocked or in progress”
  • “Which content-gap signals are strongest this month, and what evidence supports them?”
  • “How much traffic am I getting from AI chatbots?”