IdeaLift MCP Server
Allows capturing product feedback and signals from Discord to be processed and normalized into structured ideas.
Enables capturing feedback from GitHub and pushing structured ideas directly to GitHub Issues for project management.
Allows pushing structured feature requests, bug reports, and tasks directly to Jira projects.
Provides tools for creating and managing tickets in Linear projects from normalized product ideas and user feedback.
Enables the aggregation of product feedback and user signals from Slack channels into the product management workflow.
IdeaLift MCP Server
Decision intelligence for AI assistants via Model Context Protocol.
Connect Claude, ChatGPT, and other AI assistants to your product backlog. Capture feedback, track decisions, and manage ideas without leaving your AI workflow.
What it does
Normalize ideas — Transform raw text into structured feature requests, bug reports, or tasks
Signal aggregation — Capture product feedback from Slack, Teams, Discord, and GitHub
Decision tracking — Record who decided what, when, and why with full audit trails
RICE scoring — Prioritize ideas with Reach, Impact, Confidence, and Effort scores
Ticket creation — Push structured ideas to GitHub Issues, Jira, or Linear
Related MCP server: pm-copilot
MCP Tools
Tool | Auth Required | Description |
| No | Transform raw text into a structured idea |
| No | Check if user is linked to IdeaLift |
| Yes | Get available GitHub/Jira/Linear projects |
| Yes | Create a ticket in a destination system |
| Yes | Connect a new destination |
Plus proxy tools for full IdeaLift API access (ideas, signals, decisions, roadmap).
Setup
1. Install dependencies
npm install2. Configure environment
cp .env.example .envRequired environment variables:
Variable | Description |
| IdeaLift API base URL |
| Service-to-service auth key |
| SQL Server host |
| Database name |
| Database user |
| Database password |
| For idea normalization |
3. Build and run
npm run build
npm startOr for development:
npm run devThe MCP server starts on port 3001 (configurable via PORT).
4. Connect to your AI assistant
SSE endpoint: http://localhost:3001/mcp
Add this URL as an MCP server in Claude Desktop, ChatGPT, or any MCP-compatible client.
Transport
Uses Server-Sent Events (SSE) transport with automatic keep-alive pings every 15 seconds.
OAuth
Built-in OAuth 2.0 flow for connecting AI assistant users to their IdeaLift accounts. Supports authorization code grant with PKCE.
Deployment
Deployed as an Azure App Service. See the IdeaLift docs for hosted access.
License
MIT
Available Tools
18 toolsattach_signalA
Link a signal to an idea. This associates external feedback with a specific product idea.
Inputs: signalId (required), ideaId (required).
check_authA
Check the user's IdeaLift connection status for committing ideas.
Normalize is FREE. Commit requires connection.
USE this tool when:
User explicitly asks "am I connected?", "what's my status?", "check my account"
User is confused about why a commit isn't working
You need to verify auth before a create_ticket (commit) attempt
DO NOT use this tool when:
User is just chatting or exploring ideas (normalizing is free)
User is using normalize_idea (works without auth)
There's no indication of connection issues
Note: normalize_idea works WITHOUT auth. Only COMMITTING requires connection.
Inputs: no named parameters.
connect_destinationARead-only
Connect a ticket destination (GitHub, Jira, or Linear) to IdeaLift.
USE this tool when:
User explicitly says "connect GitHub", "link my Jira", "add Linear"
User tried to create a ticket but the destination isn't connected
list_destinations showed no integrations and user wants to add one
DO NOT use this tool when:
User is just exploring ideas (no connection needed)
User hasn't expressed intent to connect anything
User is asking ABOUT integrations (use list_destinations instead)
Returns a link the user clicks to authorize. Connection takes ~30 seconds.
Inputs: destination (required).
create_ideaA
Create a new idea in the workspace. Checks plan limits before creating.
Inputs: title (required), summary, source, url, +2 more.
create_relationshipA
Create a relationship between two ideas.
Relationship types:
related_to: General relationship (bidirectional)
alternative_to: Ideas that solve the same problem differently (bidirectional)
superseded_by: This idea was replaced by another (directional)
merged_into: This idea was merged into another (directional)
blocked_by: This idea depends on another (directional)
parent_of: This is a parent/epic of another idea (directional)
derived_from: This idea was inspired by another (directional)
Inputs: sourceIdeaId (required), targetIdeaId (required), relationshipType (required), note.
create_ticketA
COMMIT an idea to GitHub, Jira, or Linear. This makes it real.
This is the final step in the IdeaLift flow: Capture → Normalize → COMMIT.
USE this tool when user says:
"Commit to GitHub/Jira/Linear"
"Commit it", "create this", "file this", "ship it", "make it real"
"Push this to [destination]"
A number from the commit options (e.g., "1" for GitHub)
"1", "2", or "3" after seeing commit options
IMPORTANT: If a normalize_idea was just called, use the draftId from that response. If no draftId is available, pass the full idea object from the normalize output. NEVER ask the user to re-provide content that was just normalized.
After successful commit, confirm with:
The ticket URL (clickable)
The ticket ID
A clear "COMMITTED" confirmation
This creates a REAL ticket. The user's idea now exists in their system.
Inputs: destination (required), idea, destinationConfig, force, +1 more.
get_decision_historyBRead-only
Get the complete decision history (audit trail) for an idea.
Inputs: ideaId (required).
get_ideaBRead-only
Get detailed information about a specific idea by ID.
Inputs: ideaId (required).
get_signal_analyticsBRead-only
Get aggregated analytics about signals over a time period.
Inputs: startDate (required), endDate (required), groupBy.
list_destinationsARead-only
List connected COMMIT destinations (GitHub repos, Jira projects, Linear teams).
These are where ideas become REAL. After normalizing an idea, show the user where they can commit it.
USE this tool when:
After normalize_idea, to show commit options
User asks "where can I commit?", "show my repos", "what's connected?"
User is ready to commit but needs to choose a destination
DO NOT use this tool when:
User is still exploring or drafting ideas (doesn't need destinations yet)
User is just using normalize_idea (show inline commit options instead)
This tool requires IdeaLift authentication. Normalizing ideas is free, committing requires connection.
Inputs: no named parameters.
list_ideasBRead-only
List ideas in the workspace with optional filters. Returns paginated results.
Inputs: status, source, destination, limit, +1 more.
list_relationshipsBRead-only
Get all relationships for an idea (both as source and target).
Inputs: ideaId (required).
list_signalsBRead-only
List signals (external feedback from Twitter, Reddit, support tickets, etc.) with optional filters.
Inputs: ideaId, source, sentiment, category, +2 more.
log_decisionA
Log a decision event for an idea. This creates an audit trail entry.
Event types:
created, updated: Lifecycle events
accepted, rejected, snoozed, expired: Decision outcomes
reopened: Reopen a closed idea
merged, superseded: Idea was consolidated
shipped: Feature was released
ticket_created, ticket_closed: External ticket lifecycle
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
Inputs: ideaId (required), eventType (required), closureCategory, reason, +1 more.
normalize_ideaA
Transform raw ideas into execution-ready work items. This is the moment where thinking stops and execution begins.
IdeaLift is a COMMIT LAYER - it judges whether an idea is ready for execution and helps make it real.
USE this tool when you detect intent signals like:
"We should..." / "What if we..." / "Someone suggested..."
"This is annoying..." / "Users keep asking for..."
"Feature request:" / "Bug report:" / "Can we add..."
User pastes meeting notes, Slack threads, or raw text
User says "normalize", "make this backlog-ready", "turn this into a ticket"
When you detect these signals, PROACTIVELY offer: "This looks like a feature idea. Want me to make it execution-ready?"
Output includes:
Readiness Verdict (READY / ALMOST READY / NOT READY)
Signal Analysis (urgency, clarity, duplicate risk, actionability)
Structured spec (summary, acceptance criteria, scope)
Commit options (GitHub, Jira, Linear, or Refine)
The output ALWAYS ends with a commit decision - never leave users in limbo.
Inputs: text (required), context.
query_ideasARead-only
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?"
Inputs: query (required).
search_ideasBRead-only
Search ideas by text query. Searches title and summary fields.
Inputs: query (required), status, source, limit.
update_ideaB
Update an existing idea. Can update title, summary, status, scores, etc.
Inputs: ideaId (required), title, summary, status, +5 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 18 tools
Most tools have distinct purposes, but some overlap exists between query_ideas and search_ideas (both search-related) and between list_ideas and query_ideas (both listing ideas). The detailed descriptions help clarify differences, but an agent might occasionally misselect between these similar tools.
Tool names follow a consistent verb_noun pattern throughout (e.g., attach_signal, create_idea, list_destinations). All names use snake_case, and verbs are clear and appropriate for their actions, making the set predictable and easy to navigate.
With 18 tools, the count is slightly high but reasonable for the server's scope of idea management and execution workflows. Each tool appears to serve a specific function in the IdeaLift flow, though some could potentially be consolidated (e.g., query_ideas and search_ideas).
The tool set provides comprehensive coverage for the idea lifecycle: creation (create_idea), retrieval (get_idea, list_ideas), updating (update_idea), relationships (create_relationship, list_relationships), signals (attach_signal, list_signals), analytics (get_signal_analytics), decisions (log_decision, get_decision_history), normalization (normalize_idea), and committing (create_ticket, with supporting tools like check_auth, connect_destination, list_destinations). No obvious gaps are present for the domain.
Maintenance
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