By fiber-ai
Search companies, find contacts, enrich data, and manage audiences using Fiber AI APIs. Provides MCP tools and skills for B2B data workflows.
Senior AI recruiter with full Fiber AI product knowledge. Use PROACTIVELY when the user wants to build a candidate pipeline, source engineers or GTM talent, turn a job description into a list of humans, find people open to new roles, enrich GitHub contributors into LinkedIn profiles, or run recruiting outreach. Covers in-house recruiting, agency recruiting, event-based recruiting, and dev-focused sourcing. Trigger phrases include "build a recruiting list", "source engineers", "find candidates for role X", "pipeline of <role>", "I am hiring a <role>", "JD attached", "recruiter", "talent audience", "sourcing list", "passive candidates", "GitHub contributors", "open to work".
Senior SDR / AE with full Fiber AI product knowledge. Use PROACTIVELY when the user wants to build an outbound list, define an ICP, find target accounts, expand from a customer list, find the right buyer/champion/economic-buyer within target accounts, verify emails for outbound, or prune a prospect list for cost. Covers AI SDR platform operators, sales agencies running outbound for clients, in-house SDR teams, and founder-led sales. Trigger phrases include "build outbound list", "ICP", "target accounts", "accounts like <seed>", "similar companies", "prospect list", "find the buyer", "VP Marketing at <segment>", "pipeline build", "SDR list", "sales target research", "who should I reach at <company>".
Rigorous, vendor-agnostic data-quality analyst with full Fiber AI product knowledge. Runs reproducible, pre-registered benchmarks comparing Fiber AI to a competing data provider (People Data Labs, Apollo, Clearbit, ZoomInfo, Coresignal, or any API the user has credentials for) on the user's own sample. Reports honest numbers including where Fiber underperforms. Use this when the user says "compare Fiber to <vendor>", "bake-off", "benchmark data quality", "evaluate Fiber AI", "test providers", "which is better for my segment", "should I switch from <vendor>", or otherwise wants an integrity-grade comparison.
Software development engineer specializing in building applications, automations, and integrations on top of Fiber AI using the TypeScript or Python SDKs. Use PROACTIVELY when the user wants to write code that calls Fiber APIs, build a custom tool or workflow, create a data pipeline, build an internal tool, write a script that enriches data, automate prospecting with code, or integrate Fiber into an existing codebase. Trigger phrases include "build with Fiber", "write code", "Fiber SDK", "TypeScript SDK", "Python SDK", "automate", "script", "integration", "API wrapper", "build a tool", "data pipeline", "code example", "how do I call", "build an app with Fiber", "custom workflow".
Strategic GTM operator with full Fiber AI product knowledge. Use PROACTIVELY when the user needs help scoping a GTM plan, sizing a market, planning a territory, designing an ABM program, costing a prospecting campaign before running it, deciding between broad vs narrow targeting, or turning a revenue goal into a concrete prospecting plan. Covers heads of sales / GTM at 20-200 person companies, founder-led GTM planning, and in-house sales ops. Trigger phrases include "GTM plan", "ABM strategy", "territory planning", "market sizing", "TAM", "pipeline math", "grow from X to Y", "how many accounts do I need", "cost of building this list", "scope this campaign", "ICP strategy", "target account planning".
Create and manage Fiber AI audiences for bulk operations — search, enrich, and export lists of companies or contacts at scale. Use when the user wants to build a prospecting list or do bulk data operations.
Run a reproducible, pre-registered benchmark comparing Fiber AI to a competing data provider (People Data Labs, Apollo, Clearbit, ZoomInfo, Coresignal, or any other API the user has credentials for) on the user's own sample. Reports honest side-by-side numbers including where Fiber underperformed. Use this when the user says "compare Fiber to <vendor>", "bake-off", "benchmark data quality", "which provider is better for my segment", "test data providers", "evaluate Fiber AI", or "should I switch from <vendor> to Fiber".
Build a recruiting-grade audience of candidates using Fiber AI - search, enrich work and personal emails, reveal phones, and export prospect CSVs. Use this when the user says "build a recruiting list", "find me candidates for role X at companies like Y", "talent audience", "recruiting audience", "sourcing list", "candidate outreach list", "recruiting prospect list", or otherwise asks for a saved, exportable list of people for hiring.
Resolve GitHub handles or profile URLs into LinkedIn profiles and full contact enrichment using Fiber AI. Use this when the user says "I have GitHub handles", "enrich these engineers by GitHub", "find LinkedIn for these GitHub users", "developer enrichment", "OSS contributors list", "dev candidate enrichment", or otherwise starts from GitHub identifiers and wants LinkedIn or contact data.
Enrich a list of LinkedIn URLs with work emails, personal emails, and phone numbers using Fiber AI. Use this when the user says "enrich these LinkedIn URLs", "I have a CSV of people", "bulk reveal emails for these profiles", "get contact info for this list", "decorate these contacts with phone/email", or otherwise hands over a set of LinkedIn identifiers and wants contact data back.
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
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This plugin requires configuration values that are prompted when the plugin is enabled. Sensitive values are stored in your system keychain.
api_keyYour Fiber AI API key (get one at https://fiber.ai/app/api). Starts with sk_live_ or sk_test_.
${user_config.api_key}Use Fiber AI with any AI coding agent. Search companies, find contacts, enrich data, and manage audiences — directly from Claude Code, Cursor, OpenCode, Gemini CLI, Codex CLI, GitHub Copilot CLI, VS Code, Windsurf, and 40+ other AI agents.
Fiber MCP ships three HTTP endpoints:
| Endpoint | URL | Auth | Tools | Best For |
|---|---|---|---|---|
| V2 | https://mcp.fiber.ai/mcp/v2 | API key | Auto-generated direct tools for the top ~10 priority operations | Fastest path for common flows: search companies/people, enrich contacts |
| V3 | https://mcp.fiber.ai/mcp/v3 | OAuth (SSO) | Auto-generated direct tools for every public operation, with compact descriptions the model can expand on demand | Power users who want SSO login and full tool coverage without meta-tools |
| Core | https://mcp.fiber.ai/mcp | API key or OAuth | 5 meta-tools: search_endpoints, list_tag_packs, list_all_endpoints, get_endpoint_details_full, call_operation over every public operation | Low-tool-count surface; agent discovers endpoints at runtime |
All three use Streamable HTTP transport. You can register any combination; the MCP server names stay distinct (fiber-ai-v2, fiber-ai-v3, fiber-ai-core).
All install paths give you the MCP servers, 16 built-in skills (8 general + 8 playbook workflows), and 7 persona subagents (ai-recruiter, ai-sdr, gtm-strategist, signal-scout, data-quality-auditor, product-engineer, fiber-sde) that do the work like a human teammate with full Fiber product knowledge.
/plugin marketplace add fiber-ai/fiber-ai-plugin
/plugin install fiber@fiber-tools
This installs MCP tools, skills, rules, and hooks in one shot. Run /fiber:help to list commands.
Team sharing (optional) — commit a .mcp.json at the project root so teammates get Fiber AI automatically:
{
"mcpServers": {
"fiber-ai-v2": { "type": "http", "url": "https://mcp.fiber.ai/mcp/v2" },
"fiber-ai-v3": { "type": "http", "url": "https://mcp.fiber.ai/mcp/v3" },
"fiber-ai-core": { "type": "http", "url": "https://mcp.fiber.ai/mcp" }
}
}
Option A — Deeplink (paste in your browser, Cursor must be installed):
V2 (recommended for most users, API key auth):
cursor://anysphere.cursor-deeplink/mcp/install?name=fiber-ai-v2&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmZpYmVyLmFpL21jcC92MiJ9
V3 (every public operation, OAuth / SSO auth):
cursor://anysphere.cursor-deeplink/mcp/install?name=fiber-ai-v3&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmZpYmVyLmFpL21jcC92MyJ9
Core (5 meta-tools over every public operation):
cursor://anysphere.cursor-deeplink/mcp/install?name=fiber-ai-core&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmZpYmVyLmFpL21jcCJ9
Option B — Manual: copy cursor/mcp.json from this repo to your project's .cursor/mcp.json. Optionally copy cursor/rules/fiber-api.mdc to .cursor/rules/ for inline agent guidance.
Persona subagents: Cursor picks up subagents from .cursor/agents/. Copy the persona files into your project:
mkdir -p .cursor/agents && cp path/to/fiber-ai-plugin/cursor/agents/*.md .cursor/agents/
In your OpenCode session, tell the agent:
Fetch and follow instructions from https://raw.githubusercontent.com/fiber-ai/fiber-ai-plugin/main/.opencode/INSTALL.md
The agent will register the Fiber MCP servers (V2, V3, Core), clone the skills, copy the persona subagents into .opencode/agents/, and append a "Fiber AI skills and personas" section to your project AGENTS.md.
gemini extensions install https://github.com/fiber-ai/fiber-ai-plugin
To update later:
gemini extensions update fiber-ai
The repo ships a gemini-extension.json that registers all three Fiber MCP endpoints (V2, V3, Core) and exposes the skills via the AGENTS.md context file.
Codex CLI reads MCP servers from ~/.codex/config.toml. Append:
[mcp_servers.fiber-ai-v2]
url = "https://mcp.fiber.ai/mcp/v2"
transport = "http"
[mcp_servers.fiber-ai-v3]
url = "https://mcp.fiber.ai/mcp/v3"
transport = "http"
[mcp_servers.fiber-ai-core]
url = "https://mcp.fiber.ai/mcp"
transport = "http"
npx claudepluginhub fiber-ai/fiber-ai-plugin --plugin fiberPower your chat with B2B data to create lead lists, research companies, personalize your outreach, and more. Search any company or professional to access emails, phone numbers, roles, growth signals, tech stack details, business events, website changes, and more.
Drive the ServiceGraph API — metrics-enriched business datasets for founders (agencies, directories, newsletters, and more). Ships a branded `servicegraph` skill that works against any dataset, plus 14 specific skills for the US professional-services catalog (law, marketing, consulting, accounting, IT services, engineering, HR, PR, design, and more) and 3 product-directory skills for where to launch a software product and earn backlinks (general product/SaaS directories, MCP-server registries, and AI-tool/agent directories).
Prospect, enrich leads, load outreach sequences, and query sales analytics with Apollo.io — one-click MCP server integration for Claude Code and Cowork.
GTM building blocks: context building, list building, market research, enrichment, segmentation, email generation, email response simulation, and campaign sending.
A compounding GTM enablement engine with full MCP integration across all 21 skills, bundled with a custom Sales Intelligence MCP server (16 tools for Gong, ZoomInfo, Clay, LinkedIn). Pre-configured .mcp.json includes 9 remote connectors (HubSpot, Slack, MS365, Notion, Fireflies, Clay, ZoomInfo, Atlassian, Close) plus the local Sales Intelligence server. Every skill auto-detects tools and pulls data before asking. Learns from every deal and gets smarter over time.
Turn Common Room into your GTM copilot. Research accounts and contacts, prep for calls with attendee profiles and talking points, and draft personalized outreach across email, LinkedIn, and phone. Build targeted prospect lists, generate weekly briefings for every upcoming call, and create strategic account plans — all grounded in real signal data from product usage, engagement and intent signals, so every output reflects what's actually happening in your accounts.