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Conveo

Verified

Qualitative research platform for studies, interviews, and insights.

MCP ServerSearch & WebRemote (streamable-http)
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Updated 2026-06-16

What is the Conveo MCP server?

Conveo provides tools to manage the full qualitative research cycle, from initial study design through data collection and thematic analysis. Researchers can upload interview transcripts and receive structured outputs such as coded themes and insight summaries.

The platform emphasizes secure handling of sensitive participant data while enabling collaboration and export of findings for reports or further study.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "conveo": {
      "url": "https://app.conveo.ai/api/mcp"
    }
  }
}

Example prompts

Once connected, try asking your AI client:

Design a qualitative study on remote work experiences with 12 participants
Analyze these interview transcripts and extract key themes
Generate insights from the latest customer feedback interviews
Help me create an interview guide for healthcare provider research

Security & permissions

Streamable HTTP transport requires remote server connectivity and may need API keys or tokens for authentication. It processes potentially sensitive interview and participant data on the remote platform.

What you can do with Conveo

Study Design

Plan interview guides and sampling strategies for new qualitative projects.

Interview Analysis

Process transcripts to identify themes, quotes, and sentiment patterns.

Insight Generation

Synthesize findings into actionable recommendations and visual summaries.

How to use Conveo

  1. 1Add the Conveo server URL to your MCP client configuration.
  2. 2Provide any required API credentials or authentication tokens.
  3. 3Restart the client to establish the streamable HTTP connection.
  4. 4Verify the server appears in the available tools list.
  5. 5Begin prompting with research-related tasks.

Conveo: pros & cons

Pros

  • +Specialized for qualitative research workflows
  • +Supports end-to-end study lifecycle
  • +Remote access via standard HTTP streaming
  • +AI-assisted theme extraction and insight generation

Cons

  • No locally documented tools or parameters
  • Requires stable internet connection for all operations
  • Handles sensitive data on remote infrastructure
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Frequently asked questions

It primarily works with interview transcripts, study designs, and qualitative feedback.

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