Fiber AI — MCP Server

The Model Context Protocol (MCP) server provides a standardized interface that allows any compatible AI agent to access Fiber AI's data and tools — search companies, enrich contacts, reveal emails, and more — directly from your editor.

Servers

Fiber AI offers two remote MCP servers:

Server	URL	Best For
V2	`https://mcp.fiber.ai/mcp/v2/`	~10 curated, high-priority API tools (`api_companySearch`, `api_peopleSearch`, `api_individualRevealSync`, etc.)
Core	`https://mcp.fiber.ai/mcp`	4 meta tools that can discover and call any of 100+ API endpoints (`search_endpoints`, `call_operation`, `list_all_endpoints`, `get_endpoint_details_full`)

Which one should I use? V2 gives your agent ~10 direct tools for the most common operations (search, enrich, reveal) — easiest for most agents. Core gives access to all 100+ API endpoints through meta tools that discover and call any endpoint dynamically. Most users start with V2; power users or those building complex workflows benefit from Core or both.

Setup

Smithery

Install via Smithery with a single command:

npx -y @smithery/cli install @fiber-ai/mcp --client cursor

Replace cursor with your client: claude, windsurf, vscode, zed, etc.

Or browse and install from the Smithery web UI at smithery.ai/server/@fiber-ai/mcp.

Cursor

Click the link below to install automatically — paste it into your browser address bar and press Enter:

Install V2:

cursor://anysphere.cursor-deeplink/mcp/install?name=FiberAI-V2&config=eyJ1cmwiOiJodHRwczovL21jcC5maWJlci5haS9tY3AvdjIvIn0=

Install Core:

cursor://anysphere.cursor-deeplink/mcp/install?name=FiberAI&config=eyJ1cmwiOiJodHRwczovL21jcC5maWJlci5haS9tY3AifQ==

Or manually: open Cursor Settings → Features → MCP → "+ Add New MCP Server" → Type: HTTP → URL: https://mcp.fiber.ai/mcp/v2/

Claude Code

claude mcp add --transport http fiber-ai-v2 https://mcp.fiber.ai/mcp/v2/

To also add the Core server:

claude mcp add --transport http fiber-ai https://mcp.fiber.ai/mcp

Run /mcp inside a Claude Code session to verify the connection.

Claude Desktop

From Claude settings → Connectors, add a new MCP server with the URL https://mcp.fiber.ai/mcp/v2/.

Or edit your claude_desktop_config.json:

{
  "mcpServers": {
    "fiber-ai-v2": {
      "url": "https://mcp.fiber.ai/mcp/v2/",
      "transport": { "type": "http" }
    },
    "fiber-ai": {
      "url": "https://mcp.fiber.ai/mcp",
      "transport": { "type": "http" }
    }
  }
}

Codex

codex mcp add fiber-ai --url https://mcp.fiber.ai/mcp/v2/

Or add to ~/.codex/config.toml:

[mcp_servers.fiber-ai]
url = "https://mcp.fiber.ai/mcp/v2/"

Visual Studio Code

Press Ctrl/Cmd + P, search for MCP: Add Server, select Command (stdio), and enter:

npx mcp-remote https://mcp.fiber.ai/mcp/v2/

Name it FiberAI and activate it via MCP: List Servers.

Or add to .vscode/mcp.json:

{
  "mcpServers": {
    "fiber-ai": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.fiber.ai/mcp/v2/"]
    }
  }
}

Windsurf

Press Ctrl/Cmd + , → Cascade → MCP servers → Add custom server:

{
  "mcpServers": {
    "fiber-ai": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.fiber.ai/mcp/v2/"]
    }
  }
}

Zed

Press Cmd + , and add:

{
  "context_servers": {
    "fiber-ai": {
      "source": "custom",
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.fiber.ai/mcp/v2/"],
      "env": {}
    }
  }
}

Others

Most MCP-compatible tools can be configured with:

URL: https://mcp.fiber.ai/mcp/v2/
Transport: HTTP (Streamable HTTP)
For stdio-only clients: npx -y mcp-remote https://mcp.fiber.ai/mcp/v2/

Available Tools

V2 Server (`/mcp/v2/`)

Direct API tools — each Fiber AI endpoint is exposed as an individual tool:

Tool	Description
`api_companySearch`	Search for companies by industry, location, size, funding, etc.
`api_peopleSearch`	Search for people by title, seniority, department, etc.
`api_individualRevealSync`	Reveal work email and phone for a LinkedIn profile
`api_companyLiveFetch`	Get live LinkedIn data for a company
`api_personLiveFetch`	Get live LinkedIn data for a person
`api_getOrgCredits`	Check your credit balance

Core Server (`/mcp`)

Meta tools for dynamic endpoint discovery:

Tool	Description
`search_endpoints`	Search for API endpoints by keyword
`list_all_endpoints`	List all available API endpoints
`get_endpoint_details_full`	Get full schema details for an endpoint
`call_operation`	Call any API endpoint by its operation ID

Authentication

All API calls require your Fiber AI API key. Pass it in the request body as apiKey:

"Search for AI companies" → Agent calls api_companySearch with { "apiKey": "sk_live_...", ... }

Get your API key at fiber.ai/app/api.

Example Usage

Once connected, ask your AI agent:

"Search for SaaS companies in New York with 50-200 employees"
"Find the CEO of Stripe and get their work email"
"How many credits do I have left?"
"Enrich this LinkedIn profile: linkedin.com/in/..."

SDKs

For building applications programmatically (not via MCP):

TypeScript: npm install @fiberai/sdk — GitHub
Python: pip install fiberai — GitHub

FAQ

Connection not working? Ensure your editor supports HTTP (Streamable HTTP) MCP transport. If it only supports stdio, use the npx mcp-remote wrapper shown in the VS Code / Windsurf / Zed instructions.

Getting authentication errors? Make sure you're passing a valid apiKey in your requests. Get one at fiber.ai/app/api.

Can I use both servers at the same time? Yes. Many users add both V2 and Core for maximum flexibility.

License

MIT

Fiber AI