Trending hip-hop artist momentum scores across four cultural dimensions.
This MCP server is described as providing “Trending hip-hop artist momentum scores across four cultural dimensions.” The repository metadata lists 3 tools and names the server as io.github.IncorporatedPartners/labelhead-artist-momentum. A short readme excerpt is provided, but it does not explain the specific tools or their behavior.
🛠️ Key Features
Produces momentum scores for trending hip-hop artists
Covers four cultural dimensions
Exposes 3 tools (toolCount)
🚀 Use Cases
Retrieve or compute hip-hop artist momentum metrics by dimension
⚡ Developer Benefits
Focused data scope: “trending hip-hop artist momentum scores”
Clear dimensional breakdown (four cultural dimensions)
Tooling available via 3 MCP tools
⚠️ Limitations
Tool names, inputs/outputs, and access patterns are not described in the provided readme excerpt
The readme excerpt shown is truncated and does not include technical details
Captured live from the server via tools/list.
get_trending_artists
Returns the current list of trending hip-hop and rap artists ranked by LabelHead's composite momentum score. Each artist is scored across three dimensions: Acceleration (30-day streaming/social velocity), Cultural Gravity (press velocity, playlist adds, sync placements), and Longevity (catalog depth and retention). Use this to identify which artists are building genuine momentum right now.
Returns a detailed explanation of LabelHead's three-dimensional artist scoring methodology. Use this when you need to understand how composite scores are calculated, what each dimension measures, and how to interpret momentum labels.
Look up the current momentum score and signals for a specific artist by name. Returns the full three-dimensional score breakdown and notable signals driving their momentum.
Parameters1
artist_name
string
required
Artist name to look up (e.g. 'Doechii', 'Kendrick Lamar', 'GloRilla')
Paperclip is the app people use to manage AI agents for work.
Open-source orchestration for teams of AI agents.
If OpenClaw is an employee, Paperclip is the company.
Paperclip is a Node.js server and React UI that orchestrates a team of AI agents to run a business. Bring your own agents, assign goals, and track work and costs from one dashboard. Choose models and harnesses per agent while keeping your team's tasks, skills, permissions, and history in one place.
It looks like a task manager. Under the hood: org charts, budgets, governance, goal alignment, and agent coordination.
Manage business goals, not pull requests.
Step
Example
01
Define the goal
"Build the #1 AI note-taking app to $1M MRR."
02
Hire the team
CEO, CTO, engineers, designers, marketers — any bot, any provider.
03
Approve and run
Review strategy. Set budgets. Hit go. Monitor from the dashboard.
Works with
OpenClaw
Claude Code
Codex Codex
Cursor and Cursor Cloud Cursor + Cloud
Gemini CLI Gemini CLI
OpenCode OpenCode
Pi Pi
Hermes and Hermes Gateway Hermes + Gateway
Grok Build Grok Build
Kimi Code Kimi Code
If it can receive a heartbeat, it's hired.
Custom processes, HTTP endpoints, and external adapter packages extend the roster. See the adapter overview for setup and capabilities.
Paperclip is right for you if
✅ You want to build autonomous AI organizations
✅ You coordinate many different agents (OpenClaw, Codex, Claude, Cursor) toward a common goal
✅ You have 20 simultaneous Claude Code terminals open and lose track of what everyone is doing
✅ You want agents running autonomously 24/7, but still want to audit work and chime in when needed
✅ You want to monitor costs and enforce budgets
✅ You want a process for managing agents that feels like using a task manager
✅ You want to manage your autonomous businesses from your phone
The four pillars
Four things have to work for an organization of AI agents to actually produce: the tasks, the org, the training, and the infrastructure. Paperclip is built around exactly those four pillars.
Pillar
Built for
What it covers
Agentic Task Manager — Declare intent. Agents work. You verify the output.
Org Chart for Agents — Roles, permissions & boundaries for humans and agents.
Managers
Mixed human + agent org chart · responsibilities, delegation, specialization · governance: who can do what · scoped secrets & company boundaries · connection permissions & responsible-user identities
Agent Employee Training — Design, train & evaluate your AI employees.
Enablers
Skill Studio & shared org-wide skills · evals & saved test runs · active learning loops & quality metrics · performance reviews for agents · saved test inputs · skill version history & restore · reusable team templates
Agentic OS — The infrastructure that makes the work run.
IT & platform
Cross-provider runtime: any model, any agent · sandboxing, integrations & MCP servers · SSO, GRC, RBAC & cost controls · data privacy, internal trace collection, compounding data value · personal & shared app connections · run history & opt-in tracing
Features
🔌 Bring Your Own Agent
Any agent, any runtime, one org chart. If it can receive a heartbeat, it's hired.
🎯 Goal Alignment
Link tasks and projects to your organization goals. Agents receive the goal context behind their work.
💓 Heartbeats
Agents wake for assigned work, follow-up messages, or configured schedules. Delegation flows up and down the org chart.
💰 Cost Control
Company, agent, and project budgets. Track reported spend, get threshold alerts, and pause work at configured limits.
🏢 Multi-Organization
One deployment, many organizations. Separate tasks, agents, permissions, and activity histories for each.
🎫 Task Threads
Keep conversations, plans, blockers, files, and run history attached to the work. Assign tasks to agents or people.
Preview and install teams with roles, skills, projects, and routines. Choose their runtimes and make the setup your own.
Experimental Agent Chat and chat/email connectors add conversations with agents in Paperclip and through configured services such as Slack, Discord, Telegram, and AgentMail. Enable the relevant instance settings to try them.
Problems Paperclip solves
Without Paperclip
With Paperclip
❌ You have 20 Claude Code tabs open and can't track which one does what. On reboot you lose everything.
✅ Tasks are ticket-based, conversations are threaded, sessions persist across reboots.
❌ You manually gather context from several places to remind your bot what you're actually doing.
✅ Context flows from the task up through the project and company goals — your agent always knows what to do and why.
❌ Folders of agent configs are disorganized and you're re-inventing task management, communication, and coordination between agents.
✅ Paperclip gives you org charts, ticketing, delegation, and governance out of the box — so you run a company, not a pile of scripts.
❌ Runaway loops waste hundreds of dollars of tokens and max your quota before you even know what happened.
✅ Spend tracking, budget alerts, and automatic pauses help you control the cost of ongoing work.
❌ You have recurring jobs (customer support, social, reports) and have to remember to manually kick them off.
✅ Routines create assigned tasks on a schedule, with outputs and run history you can inspect.
❌ You have an idea, you have to find your repo, fire up Claude Code, keep a tab open, and babysit it.
✅ Add a task in Paperclip. Your coding agent works on it until it's done. Management reviews their work.
Why Paperclip is special
Paperclip handles the hard orchestration details correctly.
Atomic task checkout.
A single assignee and execution locks prevent competing runs from claiming the same task.
Persistent work context.
Tasks, comments, and documents stay in Paperclip. Supporting adapters resume saved sessions across runs.
Runtime skill injection.
Agents can learn Paperclip workflows and project context at runtime, without retraining.
Governance with rollback.
Approval gates are enforced, config changes are revisioned, and bad changes can be rolled back safely.
Accountable connections.
Human access, agent eligibility, and gateway action permissions are separate controls. Approve a call once or save a revocable rule.
Goal-aware execution.
Linked tasks and projects carry goal ancestry so agents see the "why," not just a title.
Portable company templates.
Export/import orgs, agents, and skills with secret scrubbing and collision handling.
Organization boundaries.
Company-scoped access checks keep each organization's work, agents, and activity separate within one deployment.
What's Under the Hood
Paperclip is a full control plane, not a wrapper. Before you build any of this yourself, know that it already exists:
Identity & Access — Two deployment modes (trusted local or authenticated), human roles and permissions, agent API keys, short-lived run JWTs, company memberships, and invite flows. Responsible-user attribution follows work through delegation and supported managed connections.
Org Chart & Agents — Agents have roles, titles, reporting lines, permissions, and budgets. Adapter examples match the diagram: Claude Code, Codex, CLI agents such as Cursor/Gemini/bash, HTTP/webhook bots such as OpenClaw, and external adapter plugins. If it can receive a heartbeat, it's hired.
Work & Task System — Issues carry company/project/goal/parent links, atomic checkout with execution locks, first-class blocker dependencies, comments, documents, attachments, work products, labels, and inbox state. Search across work, review document revisions, and leave anchored feedback.
Heartbeat Execution — DB-backed wakeup queue with coalescing, budget checks, workspace resolution, secret injection, skill loading, and adapter invocation. Runs produce logs, usage records, and adapter-specific session state. Bounded recovery handles supported failures and surfaces cases that need human action.
Workspaces & Runtime — Project repositories and workspaces, optional isolated execution workspaces (git worktrees, operator branches), and runtime services (dev servers, preview URLs). Sandbox providers extend execution beyond the local host; availability depends on the configured environment and adapter.
Governance & Approvals — Board approval workflows, execution policies with review/approval stages, decision tracking, budget hard-stops, and agent pause/resume/terminate. Configured task reviews govern completion; connection action approvals govern calls through the tool gateway.
Budget & Cost Control — Token and cost tracking by company, agent, project, goal, issue, provider, and model. Scoped budget policies with warning thresholds and hard stops. Enforcement uses recorded spend; usage reporting and in-flight work can delay a stop.
Routines & Schedules — Recurring tasks with cron, webhook, and API triggers. Concurrency and catch-up policies. Each routine execution creates a tracked issue and wakes the assigned agent — no manual kick-offs needed.
Plugins — Instance-wide plugin system with out-of-process workers, capability-gated host services, job scheduling, tool exposure, and UI contributions. Extend Paperclip without forking it.
Secrets & Storage — Company secrets and per-person secret values, encrypted credential storage, local or S3-compatible file storage, attachments, and work products. Secret references supply credentials to authorized runs without copying values into ordinary agent configuration.
Activity & Events — Mutating actions, heartbeat state changes, cost events, approvals, comments, and work products are recorded as durable activity so operators can audit what happened and why.
Company Portability — Preview, export, and import organization packages with agents, skills, and optional projects, routines, tasks, and attachments. Referenced secret values are omitted; review packages before sharing because plain environment values and local paths can remain. Packages share an operating setup; full-instance recovery uses backups.
What Paperclip is not
Not just a chatbot.
Conversations stay attached to tasks, plans, decisions, and outputs. Experimental Agent Chat can hand work off to assigned tasks.
Not an agent framework.
We don't tell you how to build agents. We tell you how to run a company made of them.
Not just a workflow builder.
Routines and experimental pipelines operate within an organization, with roles, goals, budgets, and governance.
Not a prompt manager.
Agents bring their own prompts, models, and runtimes. Paperclip manages the organization they work in.
Not limited to one agent.
Start with one agent and grow into a team with shared skills, delegation, and review.
Not only for code review.
Coding and PR review fit alongside research, operations, content, and other work.
Quickstart
Open source. Self-hosted. No Paperclip account required. Follow the guided quickstart to set up your first agent.
The CLI runs from npm's cache; your instance configuration and data persist locally.
See the installation guide for managed installs, pinned versions, canary and git-ref installs, updates, rollback, service management, and uninstalling.
For an isolated manual test instance that is already initialized with a CEO
agent, use test-drive. It stays in the foreground, never installs a service
or creates a first task, and opens the browser only after setup succeeds:
Each run without --data-dir gets a unique, retained temporary directory; its
absolute path is printed at startup. Pass --data-dir to reuse one, or
--no-browser to leave the initialized instance unopened. When invoked from a
linked Git worktree, test-drive also enables task execution in that worktree.
See the test-drive guide for credential and
reuse behavior.
Troubleshooting: private npm registry .npmrc
If this fails with an E404 for paperclipai (or similar) and you use a private npm registry (for example GitHub Packages) via a global ~/.npmrc, npx may be resolving paperclipai against that private registry instead of the public npm registry.
Diagnostic:
bash
npm config get registry
Workaround (cross-platform; force the public npm registry for this command):
That quickstart path now defaults to trusted local loopback mode for the fastest first run. To start in authenticated/private mode instead, choose a bind preset explicitly:
If you already have Paperclip configured, rerunning onboard keeps the existing config in place. Use npx paperclipai configure to edit settings.
Or manually:
bash
git clone https://github.com/paperclipai/paperclip.git
cd paperclip
pnpm install
pnpm dev
This starts the UI and API at http://localhost:3100. An embedded PostgreSQL database is created automatically — no setup required.
Requirements: Node.js 24.11+, pnpm 9.15+
Source development also builds the native Paperclip Runner when enabled (the self-hosted default). Install a Rust toolchain, or set PAPERCLIP_RUNNER_BINARY to a compatible prebuilt runner.
A: Locally, a single Node.js process manages an embedded Postgres and local file storage. For production, point it at your own Postgres and deploy however you like. Configure projects, agents, and goals — the agents take care of the rest.
For remote access, use authenticated mode with a private-network bind such as Tailscale, or deploy the persistent server with Docker. See deployment modes and the Docker guide.
Q: Can I run multiple companies?
A: Yes. A single deployment can host multiple organizations with company-scoped data and access checks.
Q: How is Paperclip different from agents like OpenClaw or Claude Code?
A: Paperclip uses those agents. It orchestrates them into a company — with org charts, budgets, goals, governance, and accountability.
Q: Why should I use Paperclip instead of just pointing my OpenClaw to Asana or Trello?
A: Agent orchestration has subtleties in how you coordinate who has work checked out, how to maintain sessions, monitoring costs, establishing governance - Paperclip does this for you.
(Bring-your-own-ticket-system is on the Roadmap)
Q: Do agents run continuously?
A: Agents wake for assigned work and follow-up messages. Optional timer heartbeats let them check for work periodically; routines create recurring tasks on their own schedules. You can also connect externally running agents such as OpenClaw. A mention alone does not assign work or wake another agent.
Development
bash
pnpm dev # Full dev (API + UI, watch mode)
pnpm dev:once # Full dev without file watching
pnpm dev:server # Server only
pnpm dev:mobile # Serve prebuilt UI on :3101 for phones/tablets (proxies /api → :3100)
pnpm dev:both # Run `pnpm dev` and `pnpm dev:mobile` together
pnpm build # Build all
pnpm typecheck # Type checking
pnpm test# Cheap default test run (Vitest only)
pnpm test:watch # Vitest watch mode
pnpm test:e2e # Playwright browser suite
pnpm db:generate # Generate DB migration
pnpm db:migrate # Apply migrations
pnpm test does not run Playwright. Browser suites stay separate and are typically run only when working on those flows or in CI.
Paperclip ships with opt-in OpenTelemetry auto-instrumentation for the server (traces only). It activates when OTEL_EXPORTER_OTLP_ENDPOINT is set and supports grpc, http/protobuf, and http/json via the standard OTEL_EXPORTER_OTLP_PROTOCOL env var. @opentelemetry/api is a normal server dependency; the SDK, auto-instrumentation, and exporter packages are optional peer dependencies — install them only if you want tracing. See doc/observability.md for install commands and the full env-var reference.
Paperclip also ships with opt-in Sentry error monitoring for the server and the browser. Set SENTRY_DSN_FRONTEND to activate it for the browser and SENTRY_DSN_BACKEND to activate it for the server — each variable is optional, and the legacy SENTRY_DSN variable still works as a fallback for either component. The supported server SDK version is @sentry/node@10.71.0; it is an optional peer dependency for the server, so install it only if you want error monitoring. The browser SDK, @sentry/browser, is pinned to the same exact version. See doc/observability.md for the install command, the privacy settings, and the full default capture set.
Telemetry
Paperclip collects anonymous usage telemetry to help us understand how the product is used and improve it. No personal information, issue content, prompts, file paths, or secrets are ever collected. Private repository references are hashed with a per-install salt before being sent.
Contributors changing emitted telemetry events should follow the Telemetry Data Contract.
For proposed first-party events that are not in the generated contract yet, follow Telemetry Workflow.
Telemetry is enabled by default and can be disabled with any of the following:
Method
How
Environment variable
PAPERCLIP_TELEMETRY_DISABLED=1
Standard convention
DO_NOT_TRACK=1
CI environments
Automatically disabled when CI=true
Config file
Set telemetry.enabled: false in your Paperclip config
