Search companies, enrich contacts, and reveal emails and phones from your AI agent.
Search companies, enrich contacts, and reveal emails and phones from your AI agent.
Remote endpoints: streamable-http: https://mcp.fiber.ai/mcp/v2/ streamable-http: https://mcp.fiber.ai/mcp
Remote MCP endpoint verified (97ms response). Server: fiber-api. 2 trust signals: valid MCP protocol, registry import. No security issues detected.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.
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Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-fiber-mcp": {
"url": "https://mcp.fiber.ai/mcp/v2/"
}
}
}From the project's GitHub README.
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.
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.
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.
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 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.
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 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/"
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/"]
}
}
}
Press Ctrl/Cmd + , → Cascade → MCP servers → Add custom server:
{
"mcpServers": {
"fiber-ai": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.fiber.ai/mcp/v2/"]
}
}
}
Press Cmd + , and add:
{
"context_servers": {
"fiber-ai": {
"source": "custom",
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.fiber.ai/mcp/v2/"],
"env": {}
}
}
}
Most MCP-compatible tools can be configured with:
https://mcp.fiber.ai/mcp/v2/npx -y mcp-remote https://mcp.fiber.ai/mcp/v2//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 |
/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 |
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.
Once connected, ask your AI agent:
For building applications programmatically (not via MCP):
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.
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