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Conveo MCP Server for Claude

Official Conveo remote MCP server for AI-led qualitative research—design studies, manage questions and stimuli, run analyses, and handle recruitment via OAuth at app.conveo.ai.

HarnessClaude CodeCodexCursorClaude Desktop
Review first review before installing

Open the source and read safety notes before installing.

Safety notes

  • Study, question, and quota tools can modify active research configurations.
  • Recruitment and participant-reporting tools may expose respondent metadata; handle under your privacy policy.
  • OAuth grants persistent Conveo access until revoked in the MCP client or Conveo account.
  • Review AI-generated study changes before launching participant-facing interviews.

Privacy notes

  • Interview transcripts, clips, and participant data are processed under Conveo's trust center policies.
  • OAuth tokens should remain in the MCP host configuration, not in chat or shared documents.
  • Quote reels and analysis outputs may include voice, video, and behavioral signals from participants.

Prerequisites

  • Conveo account with access to the studies you want to manage.
  • Claude Code, Claude Desktop, or another MCP client supporting remote HTTP and OAuth.
  • OAuth client ID 7326f7bf-48d6-4b75-a418-0c9c0d8eb901 from Conveo MCP docs; no client secret required.
  • Understanding that study edits and recruitment actions affect live research projects.

Schema details

Install type
cli
Reading time
4 min
Difficulty score
35
Troubleshooting
Yes
Breaking changes
No
Collection metadata
Estimated setup
10 minutes
Difficulty
intermediate
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "conveo": {
      "url": "https://app.conveo.ai/api/mcp",
      "type": "http"
    }
  }
}

About this resource

Overview

Conveo exposes an official remote Model Context Protocol server for AI-led qualitative research. Connected assistants can design studies, manage research objectives and questions, attach stimuli, configure quotas, run analyses, and work with recruitment workflows inside a Conveo account.

Documentation lives at conveo.ai/docs/api-reference/mcp. The server is registered as ai.conveo/conveo with endpoint https://app.conveo.ai/api/mcp.

Features

  • Study creation and configuration, including welcome pages and settings.
  • Research objective and question management with routing logic.
  • Stimuli creation and asset attachment.
  • Analysis sessions, study queries, and interview clip search.
  • Quote reel listing and snippet download preparation.
  • Recruitment overview and participant reporting tools.

Use Cases

  • Draft an interview guide from a research brief inside Claude Code.
  • Add screening questions and quota groups before launching a study.
  • Search interview clips for evidence supporting a product insight.
  • Update stimuli links after creative assets change.
  • Review recruitment status without leaving the coding environment.

Installation

Claude Code

Add to .claude/settings.json:

{
  "mcpServers": {
    "Conveo": {
      "type": "url",
      "url": "https://app.conveo.ai/api/mcp",
      "oauthClientId": "7326f7bf-48d6-4b75-a418-0c9c0d8eb901"
    }
  }
}

Authenticate when Conveo tools are first invoked.

Claude Desktop

Open Settings → Developer → Edit Config and add the same Conveo entry, then restart Claude Desktop.

CLI shortcut

claude mcp add --transport http conveo https://app.conveo.ai/api/mcp

Confirm OAuth client settings match Conveo docs if your client requires them explicitly.

Configuration

{
  "mcpServers": {
    "conveo": {
      "url": "https://app.conveo.ai/api/mcp",
      "type": "http",
      "oauthClientId": "7326f7bf-48d6-4b75-a418-0c9c0d8eb901"
    }
  }
}

Leave the OAuth client secret empty per Conveo documentation.

Examples

Create a study outline

Create a Conveo study for concept testing of a new snack package with three research objectives.

Query clips

Search interview clips in my active study for mentions of price sensitivity.

Update a question

Add a follow-up question about purchase intent after the product exposure block.

Security

  • Treat participant data as sensitive; follow Conveo's trust center and your organization's retention policy.
  • Revoke OAuth access when offboarding researchers or shared machines.
  • Preview study changes before publishing to live respondents.

Troubleshooting

OAuth redirect failures

Confirm the OAuth client ID matches Conveo docs and that your MCP client supports OAuth 2.0.

Tools missing after restart

Fully quit and relaunch Claude Desktop; some clients read MCP config only at startup.

Permission errors on study edits

Verify the signed-in Conveo user owns or can edit the target study.

Analysis session empty

Ensure interviews have completed and indexing finished before querying clips or themes.

Source citations

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How it compares

Conveo MCP Server for Claude side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

FieldConveo MCP Server for Claude

Official Conveo remote MCP server for AI-led qualitative research—design studies, manage questions and stimuli, run analyses, and handle recruitment via OAuth at app.conveo.ai.

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AdAdvisor MCP Server for Claude

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Trust
Install riskReview firstReview firstReview firstReview first
Notes Safety Privacy Safety Privacy Safety Privacy Safety Privacy
Categorymcpmcpmcpmcp
Sourcesource-backedsource-backedsource-backedsource-backed
AuthorConveoCookiyAipolabsAdAdvisor
Added2026-06-142026-06-142026-06-052026-06-14
Platforms
Claude CodeCodexCursorClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Source repo
Safety notesStudy, question, and quota tools can modify active research configurations. Recruitment and participant-reporting tools may expose respondent metadata; handle under your privacy policy. OAuth grants persistent Conveo access until revoked in the MCP client or Conveo account. Review AI-generated study changes before launching participant-facing interviews.cookiy_create_cue and recruitment tools can incur charges; confirm budgets before approving calls. Use cookiy_introduce and cookiy_help to understand workflow state machines before destructive actions. OAuth tokens grant persistent Cookiy access until revoked. Quantitative and recruitment flows may contact real participants; review scripts before launch.The unified server can discover and execute many ACI.dev managed functions, so restrict permissions before connecting it to an autonomous agent. App-specific servers should be preferred when a workflow only needs a small set of integrations. Connected apps may read, create, update, delete, or send data depending on the selected functions and linked account permissions. Require human approval before email, calendar, CRM, ticketing, infrastructure, billing, deployment, or account-administration actions.Workflow tools can create or modify Meta Ads campaigns, ad sets, creatives, and audiences when your token has write scope. Bearer tokens grant persistent account access until revoked in AdAdvisor or Meta Business settings. Treat returned spend, conversion, and audience data as business-sensitive before sharing in chat exports. Verify AI-proposed budget or targeting changes before approving tool calls on live ad accounts.
Privacy notesInterview transcripts, clips, and participant data are processed under Conveo's trust center policies. OAuth tokens should remain in the MCP host configuration, not in chat or shared documents. Quote reels and analysis outputs may include voice, video, and behavioral signals from participants.Interview transcripts, participant responses, and billing metadata are processed by Cookiy. OAuth credentials remain in the MCP host; do not paste tokens into chat or public issues. Research studies may contain PII from participants; follow your organization's data-handling policy.Tool names, function arguments, prompts, linked account identifiers, execution results, logs, and connected-service data may pass through ACI.dev, the selected third-party apps, the MCP client, and the model provider. API keys and linked-account credentials must be protected in client config, environment files, logs, screenshots, and shared prompts. Review ACI.dev account, tenant, retention, audit-log, and OAuth settings before routing production or customer data through the server.Account IDs, campaign names, creative assets, and performance metrics are sent to AdAdvisor and Meta APIs. Store adv_sk_ API keys in connector headers or secrets managers, not in chat logs or source control. AdAdvisor may retain usage telemetry under its platform terms; review privacy policy before connecting production accounts.
Prerequisites
  • Conveo account with access to the studies you want to manage.
  • Claude Code, Claude Desktop, or another MCP client supporting remote HTTP and OAuth.
  • OAuth client ID 7326f7bf-48d6-4b75-a418-0c9c0d8eb901 from Conveo MCP docs; no client secret required.
  • Understanding that study edits and recruitment actions affect live research projects.
  • Cookiy account with billing enabled when running paid interviews or recruitment.
  • Node.js 18+ for the cookiy-mcp bootstrap CLI from the cookiy-ai/cookiy-skill repository.
  • Claude Code, Cursor, Codex, Windsurf, Cline, OpenClaw, or another MCP host with HTTP and OAuth support.
  • Network egress allowed to s-api.cookiy.ai, including OAuth discovery endpoints.
  • ACI.dev account, API key, and linked account owner ID.
  • Connected app credentials or linked accounts for the tools the agent should use.
  • MCP client that can launch Python package commands with environment variables.
  • Clear allowlist of apps, functions, and user accounts before exposing write-capable tools.
  • AdAdvisor account with Meta Ads connected and an API key (adv_sk_...) for MCP authentication.
  • Claude Pro, Team, or Enterprise with Connectors support, or another MCP client with streamable HTTP connectors.
  • Meta Ads account permissions sufficient for the campaigns and assets you plan to query or modify.
  • Review of AdAdvisor pricing and plan limits before enabling write workflows in production accounts.
Install
claude mcp add --transport http conveo https://app.conveo.ai/api/mcp
npx cookiy-mcp --client claudeCode -y
uvx aci-mcp unified-server --linked-account-owner-id YOUR_LINKED_ACCOUNT_OWNER_ID
claude mcp add --transport http adadvisor https://api.adadvisor.ai/mcp
Config
{
  "mcpServers": {
    "conveo": {
      "url": "https://app.conveo.ai/api/mcp",
      "type": "http",
      "oauthClientId": "7326f7bf-48d6-4b75-a418-0c9c0d8eb901"
    }
  }
}
{
  "mcpServers": {
    "cookiy": {
      "url": "https://s-api.cookiy.ai/mcp",
      "type": "http"
    }
  }
}
{
  "mcpServers": {
    "aci": {
      "command": "uvx",
      "args": [
        "aci-mcp",
        "unified-server",
        "--linked-account-owner-id",
        "YOUR_LINKED_ACCOUNT_OWNER_ID"
      ],
      "env": {
        "ACI_API_KEY": "YOUR_ACI_API_KEY"
      }
    }
  }
}
{
  "mcpServers": {
    "adadvisor": {
      "url": "https://api.adadvisor.ai/mcp",
      "type": "http",
      "headers": {
        "Authorization": "Bearer adv_sk_YOUR_KEY"
      }
    }
  }
}
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