---
title: "compelling"
description: "Build lead lists and automate enrichment with Compelling AI agents: source target accounts, find contacts, enrich any data point, and rank accounts by ICP fit."
canonical: https://agentpluginsdirectory.com/plugins/compelling
last-updated: 2026-09-21
---

# compelling
Build lead lists and automate enrichment with Compelling AI agents: source target accounts, find contacts, enrich any data point, and rank accounts by ICP fit.
- Slug: compelling
- Publisher: Compelling
- Repository: https://github.com/seekwhens/compelling-plugin
- Manifest: plugin.json
- Version: 0.2.3
- License: MIT
- Category (editorial): research
- Skills: 4 (build-tam-list, enrich-contacts, feedback, rank-by-icp)
- MCP servers: 1 (compelling)
- Stars: 0
- Repository created: 2026-08-06
- Repository last pushed: 2026-09-17
- Publisher type: Organization
- Listing: https://agentpluginsdirectory.com/plugins/compelling
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## What compelling does, in the publisher's words

Build lead lists and automate enrichment with Compelling AI agents, directly from your coding or chat agent.

This is an Agent Plugin bundling:

- MCP server: the remote Compelling MCP at https://mcp.compelling.ai (Streamable HTTP, OAuth). Connect with your Compelling account; the connection is scoped to your workspace.
- Skills: playbooks that teach your agent to use Compelling well:
- build-tam-list: source a target market into a fresh list
- enrich-contacts: find decision-makers and research emails, LinkedIn profiles, or any custom data point
- rank-by-icp: score accounts 0-100 against your ICP and read the list sorted by fit

A Compelling account. Reading data is free; sourcing, contact discovery, enrichment, and ranking draw on your workspace's credit balance.

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/seekwhens/compelling-plugin/HEAD/README.md

## Skills

- build-tam-list: Source a target market (TAM) list of companies in Compelling. Use when the user wants to build a lead list, find companies matching an ICP ("B2B SaaS in DACH, 50-500 employees"), source accounts for outbound, or start any new prospecting effort from scratch.
- enrich-contacts: Find contacts for accounts in a Compelling list and enrich them (work emails, LinkedIn profiles, phone numbers, job titles) or enrich accounts with any data point (revenue, tech stack, funding, custom questions). Use when the user wants decision-makers, verified emails, or any researched attribute…
- feedback
- rank-by-icp: Score the accounts in a Compelling list 0-100 against an ideal customer profile (ICP) using an explicit per-column rubric, then read the list sorted by fit. Use when the user wants to prioritize accounts, find best-fit companies, build a "who to work first" ranking, or asks for lead scoring.

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.

## MCP servers

- compelling: transport: streamable-http; url: https://mcp.compelling.ai

Read from the plugin's own mcp.json. Environment variable names only, never values.