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MCP server that integrates IdeaLift idea management with ChatGPT, enabling users to normalize ideas, check authentication, list destinations, create tickets, and access 13 proxied Claude MCP tools for idea management, signals, and decisions.
Server has 15 well-defined tools with consistent naming (verb_noun pattern), comprehensive input schemas with enums and descriptions, and tool annotations for OpenAI visibility. Most tools include 50-200 char descriptions. However, output schemas are not documented, error handling lacks recovery guidance, and some parameter descriptions could be more prescriptive about constraints and formats. Composition is strong, tools chain well (e.g., normalize_idea → create_ticket). Security is sound (no secrets in params). Naming is clear and action-oriented across all tools.
Link a signal to an idea. This associates external feedback with a specific product idea.
Check the user's IdeaLift connection status for committing ideas. Verify authentication and workspace details.
Connect a ticket destination (GitHub, Jira, or Linear) to IdeaLift. Returns an OAuth authorization URL for the user to click.
Create a new idea in the workspace. Checks plan limits before creating.
COMMIT an idea to GitHub, Jira, or Linear. This creates a real ticket in the destination system. Checks for duplicates before creating.
Get detailed information about a specific idea by ID.
Output schemas not documented. Tools return data but LLMs cannot plan downstream calls or extract fields without trial-and-error. E.g., list_ideas, get_idea, create_idea lack documented return structures.
Error handling lacks recovery guidance. Tools do not specify what errors are retryable, user-fixable, or fatal. E.g., create_ticket may fail on duplicate but no guidance on how to handle or retry.
Parameter constraints not fully specified in descriptions. E.g., limit params accept 'max 100' but no min stated; RICE scores (0-10, 0-3, 0-1) are documented in schema but not in param descriptions for clarity.
Inferred effective spec: 2025-06-18+.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | C | 66 | 2025-06-18+ | v2 |
Get aggregated analytics about signals over a time period.
List available ticket destinations (GitHub, Jira, Linear) that the user has connected to IdeaLift.
List ideas in the workspace with optional filters. Returns paginated results.
List signals (external feedback from Twitter, Reddit, support tickets, etc.) with optional filters.
Log a decision event for an idea. This creates an audit trail entry. Event types include: created, updated, accepted, rejected, snoozed, expired, reopened, merged, superseded, shipped, ticket_created, ticket_closed. Closure categories (required for some events): shipped, merged (positive closures), deferred_resources, deferred_priority, deferred_dependency, deferred_timing (deferrals), rejected_scope, rejected_alternative, rejected_invalid, rejected_duplicate (rejections).
Normalize raw text into a structured idea with title, summary, category, priority, and acceptance criteria. Returns a draft ID for later commit.
Execute a natural language query about ideas in the workspace. Examples: 'Show me high-impact features from enterprise customers', 'What are the top 5 most requested features?', 'Find bugs reported this month', 'Show ideas with the highest RICE scores', 'What feedback has come from Slack in the last week?'
Search ideas by text query. Searches title and summary fields.
Update an existing idea. Can update title, summary, status, scores, etc.
Pagination guidance incomplete. list_ideas and list_signals support limit/offset but descriptions do not explain total count or next_cursor behavior, forcing LLMs to guess result set size.
Destructive operations (create_ticket, log_decision with rejection) lack confirmation or dry-run support. Agents may commit ideas or log rejections without user approval.