AI Assistants & MCP

FeedbackPulse supports the Model Context Protocol (MCP), an open standard that lets AI assistants like Claude and ChatGPT read and act on your organisation’s feedback data. Instead of logging into the dashboard, you can ask questions in plain language and get answers drawn directly from your data.

What you can do

Ask your AI assistant…	What FeedbackPulse provides
”Show me our latest engagement survey results”	Survey responses, scores, and completion rates
”What’s the completion rate for the Q1 review cycle by department?”	Performance review progress and breakdowns
”Who are our top recognition recipients this quarter?”	Recognition counts, kudos trends, top recipients
”Which employees haven’t completed their performance reviews?”	Per-employee review status and overdue list
”Create a new onboarding survey template with these questions”	Survey template creation (Admin + write scope)
“Show me all active employees in the Engineering department”	Employee list with department and manager info

Available tools

FeedbackPulse exposes 16 tools to connected AI assistants. For full parameter details, see the MCP Tools Reference.

Surveys

Tool	What it does	Scope
`list_surveys`	Lists surveys with status and completion rates	`mcp:use`
`get_survey_detail`	Full details for a specific survey	`mcp:use`
`get_survey_results`	Survey results, scores, and response statistics	`mcp:use`
`get_survey_summary`	AI-generated summary of survey themes	`mcp:use`
`list_survey_templates`	Lists available survey templates	`mcp:use` (Admin)
`get_survey_template`	Full template detail including all questions	`mcp:use` (Admin)
`create_survey_template`	Creates a new survey template	`mcp:write` (Admin)
`update_survey_template`	Updates an existing survey template	`mcp:write` (Admin)

Reviews

Tool	What it does	Scope
`list_review_cycles`	Lists review cycles with completion statistics	`mcp:use`
`get_review_cycle_summary`	Department-level completion breakdown for a cycle	`mcp:use`
`list_perf_reviews`	Individual performance reviews with status	`mcp:use`
`list_peer_reviews`	Peer reviews with status and reviewer info	`mcp:use`
`get_peer_review_stats`	Aggregated peer review ratings and completion rates	`mcp:use`

Recognitions

Tool	What it does	Scope
`get_recognition_stats`	Aggregate recognition metrics and top recipients	`mcp:use`
`list_recognitions`	Individual recognition records with feedback text	`mcp:use`

Employees

Tool	What it does	Scope
`list_employees`	Browse employees with department and manager info	`mcp:use`

Guided prompts

FeedbackPulse also provides four guided prompts — pre-built workflows that instruct your AI assistant to gather and analyse data in a structured way.

Prompt	What it does	Arguments
`analyze_survey_results`	Response rates, sentiment themes, low-scoring questions, and recommendations	`department`, `survey_id`, `period`
`engagement_health_check`	Snapshot combining survey scores and recognition activity with red-flag alerts	`department`, `period`
`performance_review_prep`	Cycle completion status, peer feedback stats, and calibration notes	`review_cycle` (required), `employee_name`
`team_pulse`	Quick health check on a team’s survey participation and recognition frequency	`department`, `manager_name`, `period`

To use a prompt, ask your AI assistant to run it by name, for example:

“Run the engagement health check for the Engineering department over the last 90 days.”

performance_review_prep requires a paid FeedbackPulse plan with performance reviews enabled.

Example prompts

Try these prompts once you’ve connected your AI assistant:

“Run analyze_survey_results for the last 90 days.” The AI will retrieve your most recent surveys, compare response rates and scores, surface recurring themes, and flag low-scoring questions.
“What’s the completion rate for the Q1 2026 review cycle, broken down by department?” The AI will pull the review cycle summary and present department-level progress.
“Show me recognition stats for the Engineering department this quarter.” The AI will return total recognitions, kudos vs constructive breakdown, and top recipients.
“Which employees haven’t started their performance reviews in the current cycle?” The AI will list reviews filtered by not_started status.
“List all active employees in the Sales department.” The AI will return employees with their job titles, managers, and contact details.

Data access and privacy

AI assistants can only access data your account is authorised to see. Admins see all organisation data; Managers see their direct and indirect reports only.
Anonymous survey responses are protected — individual text responses are withheld when the number of responses falls below the configured privacy threshold.
Write actions (creating and updating survey templates) require Admin access and a token with the mcp:write scope.
No conversation content is stored by FeedbackPulse.

For full details, see our Privacy Policy (Section 11: API & MCP Access).

Connect your AI assistant

Choose your AI assistant to get started:

Having trouble? See MCP Connection Troubleshooting.

Questions? Contact us at support@feedbackpulse.com.