
survey-mcp-server
MCP server for LLM-driven conversational surveys with skip logic, session resume, multi-tenancy, and structured data col
Transform LLMs into intelligent interviewers with this MCP server for conducting dynamic, conversational surveys featuring skip logic, session resume, multi-tenancy, and structured data collection.
About survey-mcp-server
survey-mcp-server is a community-built MCP server published by cyanheads that provides AI assistants with tools and capabilities via the Model Context Protocol. MCP server for LLM-driven conversational surveys with skip logic, session resume, multi-tenancy, and structured data col It is categorized under auth security. This server exposes 8 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install survey-mcp-server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
survey-mcp-server is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (8)
Discover available surveys in the definitions directory
Initialize a new session with complete survey context and initial suggested questions
Refresh a specific question's eligibility status after state changes
Record participant answers with validation, scoring, and progress updates
Check completion status, current score, and remaining questions
@cyanheads/survey-mcp-server
Transform LLMs into intelligent interviewers. A production-grade MCP server for conducting dynamic, conversational surveys with structured data collection. Features skip logic, session resume, multi-tenancy, and pluggable storage backends.
🛠️ Tools Overview
This server provides eight powerful tools for managing the complete survey lifecycle with LLM-driven interactions:
| Tool Name | Description |
|---|---|
survey_list_available | Discover available surveys in the definitions directory. |
survey_start_session | Initialize a new session with complete survey context, all questions, and initial suggested questions. |
survey_get_question | Refresh a specific question's eligibility status after state changes (useful for conditional logic). |
survey_submit_response | Record participant answers with validation, scoring, returning updated progress and next suggested questions. |
survey_get_progress | Check completion status, current score, remaining required/optional questions, and completion eligibility. |
survey_complete_session | Finalize a completed session with final score summary (requires all required questions answered). |
survey_export_results | Export session data in CSV or JSON format with optional filtering by status, date range, etc. |
survey_resume_session | Resume an incomplete session, restoring full context including answered questions and progress. |
survey_list_available
Discover available surveys loaded from your survey definitions directory.
Key Features:
- Lists all surveys discovered via recursive directory scan of
SURVEY_DEFINITIONS_PATH - Returns survey metadata: ID, title, description, estimated duration, and question count
- Optional tenant filtering for multi-tenant deployments
Example Use Cases:
- "Show me all available surveys"
- "What surveys can participants take?"
- "List surveys for tenant X"
survey_start_session
Initialize a new survey session with complete context for LLM-driven conversations.
Key Features:
- Creates new session with unique session ID and participant tracking
- Loads complete survey definition with all questions upfront
- Returns initial suggested questions based on survey settings (configurable min/max, defaults to 3-5) based on eligibility (unconditional questions first, required before optional)
- Each question includes
currentlyEligibleflag andeligibilityReasonfor transparency - Provides
guidanceForLLMfield with conversational instructions - Supports session metadata for tracking source, user agent, etc.
Example Use Cases:
- "Start the customer satisfaction survey for participant ABC123"
- "Begin a new session for the Q1 feedback survey"
- "Initialize survey session with metadata: source=web, userAgent=Claude"
survey_get_question
Refresh a question's eligibility and details after session state changes.
Key Features:
- Returns current eligibility status based on latest session state
- Provides eligibility reason (e.g., "Conditional logic satisfied", "Always available")
- Indicates if question was already answered
- Useful for checking if conditional questions became available after previous answers
Example Use Cases:
- "Has question q2 become available yet?"
- "Check if the follow-up question is now eligible"
- "Refresh question details after the participant answered the dependency"
survey_submit_response
Record participant answers with validation and get dynamic response guidance.
Key Features:
- Validates responses against question constraints (min/max length, patterns, required fields, etc.)
- Calculates and returns score for response (if scoring is enabled on question options)
- Returns validation errors with specific, actionable feedback
- Updates session progress (percentage complete, questions answered, time remaining estimate, current score)
- Returns
updatedEligibilityarray showing newly available conditional questions - Provides refreshed
nextSuggestedQuestionsbased on new state (count configurable per survey) - Includes
guidanceForLLMwith context-aware instructions
Example Use Cases:
- "Submit answer 'very-satisfied' for question q1"
- "Record the participant's email: user@example.com"
- "Save free-form response with validation"
survey_get_progress
Check session status and completion eligibility.
Key Features:
- Returns completion status:
in-progress,completed,abandoned - Progress metrics: total questions, answered count, required remaining, percentage complete, current score
- Lists all unanswered required questions (with eligibility status)
- Lists all unanswered optional questions (with eligibility status)
canCompleteboolean indicating if session can be finalizedcompletionBlockersarray explaining what's preventing completion
Example Use Cases:
- "How much of the survey is complete?"
- "What required questions are still unanswered?"
- "Can we complete the survey now?"
survey_complete_session
Finalize a completed session when all required questions have been answered.
Key Features:
- Validates that all required questions (including conditionally required) are answered
- Updates session status to
completedand setscompletedAttimestamp - Returns summary with total questions answered, session duration, and final score (if scoring enabled)
- Prevents duplicate completion
Example Use Cases:
- "Complete the survey session"
- "Finalize session sess_abc123"
- "Mark the survey as finished"
survey_export_results
Export session data for analysis and reporting.
Key Features:
- Export in CSV or JSON format
- Filter by survey ID, status, date range, and custom criteria
- Returns formatted data with record count and generation timestamp
- CSV format includes one row per session with flattened question responses
- JSON format preserves full session structure
Example Use Cases:
- "Export all completed responses for survey customer-satisfaction-q1-2025 as CSV"
- "Get JSON export of sessions completed in January 2025"
- "Export in-progress sessions for analysis"
survey_resume_session
Resume an incomplete session with full context restoration.
Key Features:
- Restores complete survey context and session state
- Returns all previously answered questions with responses
- Provides refreshed
nextSuggestedQuestionsfor remaining questions (count configurable per survey) - Shows elapsed time since last activity
- Current progress summary (percentage, remaining questions, current score)
- Includes
guidanceForLLMwith welcome-back messaging suggestions
Example Use Cases:
- "Resume session sess_abc123"
- "Continue the survey where the participant left off"
- "Restore session state for participant to finish later"
✨ Features
This server is built on the mcp-ts-template and inherits its rich feature set:
- Declarative Tools: Define capabilities in single, self-contained files. The framework handles registration, validation, and execution.
- Robust Error Handling: A unified
McpErrorsystem ensures consistent, structured error responses. - Pluggable Authentication: Secure your server with zero-fuss support for
none,jwt, oroauthmodes. - Abstracted Storage: Swap storage backends (
in-memory,filesystem,Supabase,Cloudflare KV/R2) without changing business logic. - Full-Stack Observability: Deep insights with structured logging (Pino) and optional, auto-instrumented OpenTelemetry for traces and metrics.
- Dependency Injection: Built with
tsyringefor a clean, decoupled, and testable architecture. - Edge-Ready: Write code once and run it seamlessly on your local machine or at the edge on Cloudflare Workers.
Plus, specialized features for Survey Management:
- LLM-Driven Surveys: Tools provide rich context (progress, next suggested questions, validation results, scores) to guide natural conversation flow.
- Hybrid Flow Control: Guided mode with configurable suggested questions (defaults to 3-5) + flexible ordering based on conversation context.
- Scoring System: Support for quizzes and assessments with optional score fields on question options. Automatic score calculation and accumulation per session.
- Advanced Conditional Logic: Support for simple sk
README truncated. View full README on GitHub.
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