create-survey
Server Details
Create AI surveys with dynamic follow-up probing directly from your AI assistant.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- feedbk-ai/feedbk-mcp-server
- GitHub Stars
- 2
- Server Listing
- AI Survey Creator MCP Server
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.1/5 across 1 of 1 tools scored.
Only one tool exists, so there is no risk of ambiguity or misselection between tools.
With a single tool, naming consistency is inherently perfect; 'survey_builder' is a clear and appropriate name.
One tool is far too few for the broad range of operations claimed (create, edit, preview, publish, close, analyze). It should be split into multiple focused tools.
The single chat-like interface provides no direct, structured operations. It lacks modular tools for each survey lifecycle step, forcing agents to rely on conversational context instead of clear, discrete actions.
Available Tools
1 toolsurvey_builderAInspect
Send a message to the feedbk survey-builder agent. It can create, edit, preview, publish, close, and analyze AI-moderated surveys. Omit session_id on the first call; pass the session_id from the previous response on follow-up calls to continue the conversation (sessions expire after an hour of inactivity).
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | ||
| session_id | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose all behavioral traits. It mentions session expiration, which is good, but does not cover authorization, rate limits, error handling, or the nature of the response. The disclosure is adequate but incomplete.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with no redundancy. Every sentence adds critical usage information, making it highly efficient and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of a conversational survey builder, the description lacks details about the response format, error conditions, or what the agent returns. It covers basic usage and session management, but the agent would benefit from more context about expected outputs or limitations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must add meaning. It explains the session_id usage pattern (omit first, include later, expiration) which adds significant value beyond the schema. The 'message' parameter is not elaborated, but its purpose is self-evident from the tool context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool sends a message to a survey-builder agent and enumerates its capabilities (create, edit, preview, publish, close, analyze). This makes the purpose explicit and distinct, despite no sibling tools provided.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear guidance on session handling: omit session_id on first call, pass the returned session_id on follow-ups, and notes session expiration after an hour. It lacks explicit when-not-to-use or alternatives, but the context is clear for a conversational agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Your Connectors
Sign in to create a connector for this server.