---
title: "unify"
description: "Run Unify's GTM agent to build company and people lists, enrich contact data, and launch sequences and tasks."
canonical: https://agentpluginsdirectory.com/plugins/unify
last-updated: 2026-09-22
---

# unify
Run Unify's GTM agent to build company and people lists, enrich contact data, and launch sequences and tasks.
- Slug: unify
- Publisher: Unify
- Repository: https://github.com/unifygtm/agent-plugins
- Manifest: unify/plugin.json
- Version: 0.1.4
- License: MIT
- Category (editorial): integrations
- Skills: 7 (agent-runs, crm, data-tables, discovery, enrichment, outreach, unify)
- MCP servers: 1 (unify)
- Stars: 0
- Repository created: 2026-07-15
- Repository last pushed: 2026-08-25
- Publisher type: Organization
- Listing: https://agentpluginsdirectory.com/plugins/unify
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

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

Unify in your AI agent: skills and the Unify MCP server, packaged for the Agent Plugins standard, Claude Code, Cursor, and Codex.

Unify is AI-powered GTM for sellers. Find companies and people, enrich contact data, and engage prospects with sequences and tasks, all from natural language in your favorite agent.

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/unifygtm/agent-plugins/HEAD/README.md

## Skills

- agent-runs: Run Unify agent tasks with the core run_agent → poll_agent → answer_question → read_agent_results loop. Use before starting any Unify run: covers writing effective task briefs, polling cadence, relaying clarification questions, reading results, and error recovery.
- crm: CRM and record management with Unify, read Salesforce/HubSpot (owners, stages, deals, custom fields, "what's in my CRM"), write CRM records, upsert companies/people into Unify, and export to Lists. Use when the user asks about CRM data, wants records saved or updated, or wants a result set exported…
- data-tables: Unify DataTables: page through the rows of result tables produced by Unify agent runs with load_datatable. Use when a run's final answer references a DataTable or table ID and you need the actual rows, columns, or metadata.
- discovery: Discovery with Unify, building lists of companies or people from criteria, ICP filters, personas, lookalikes, hiring signals, technographics, local businesses, funding stage. Use when the user wants to find prospects, build a target-account or contact list, expand TAM, or ask "who should I sell to…
- enrichment: Enrichment with Unify; find work emails, phone numbers, firmographics, funding, technographics, job postings, and fresh employment data for known companies or people. Use when the user has specific entities (names, domains, LinkedIn URLs, a DataTable, CRM records) and needs more data on them, inclu…
- outreach: Outreach with Unify, create email sequences, generate per-prospect copy previews, enroll prospects, and manage rep tasks (calls, LinkedIn touches, to-dos). Use when the user wants to email prospects, write outbound copy, start or edit a sequence, check what's in flight, or work their task queue.
- unify: Unify; start here. Directory for working with Unify, the go-to-market platform for finding and engaging buyers. Maps every Unify skill, agent-runs (run any GTM task through the Unify agent and manage the poll/answer loop), data-tables (page through result rows), discovery (build company and people…

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

## MCP servers

- unify: transport: streamable-http; url: https://mcp.unifygtm.com/mcp

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