Search companies, enrich contacts, and reveal emails and phones from your AI agent.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ai-fiber-mcp": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
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.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in marketing
DataForSEO API modelcontextprotocol server
MCP server for the PostFast API — schedule and manage social media posts via AI tools
Claude Code plugin: 115 commands, 25 agents, 64 scripts, 67 MCP servers, 143 reference files. Eval/QA layer (hallucination detection, claim verification, A+ through F grading). Multilingual (Sarvam AI, DeepL, Google Cloud Translation). Full execution with approval workflow.
A free SEO research tool using Model Context Protocol (MCP) powered by Ahrefs data. Get backlink analysis, keyword research, traffic estimation, and more — directly in your AI-powered IDE.
MCP Security Weekly
Get CVE alerts and security updates for ai.fiber/mcp and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
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.
If you are a coding agent and need to pick between MCP and the REST API, start with the canonical agent-facing docs on the API:
https://api.fiber.ai/ai-docs/<operationId>.mdRule of thumb: use MCP when you're acting inside an IDE / chat and
each operation is a tool call; use the REST API (via
@fiberai/sdk or
fiberai) when you're building
an autonomous script or a production pipeline.
Fiber AI offers three remote MCP servers:
| Server | URL | Auth | Best For |
|---|---|---|---|
| V2 | https://mcp.fiber.ai/mcp/v2 | API key | Auto-generated direct tools for the top ~10 priority operations (api_companySearch, api_peopleSearch, etc.) |
| V3 | https://mcp.fiber.ai/mcp/v3 | OAuth (SSO) | Direct tools for every public operation with compact descriptions; the model can call or expand any tool on demand |
| Core | https://mcp.fiber.ai/mcp | API key | 5 meta-tools that discover and call any of 100+ API endpoints (search_endpoints, list_tag_packs, list_all_endpoints, get_endpoint_details_full, call_operation) |
Which one should I use? V2 is the fastest path for the most common flows with an API key. V3 is the most ergonomic for broad agent coverage — it exposes every public operation as a direct tool with compact descriptions, authenticated via browser-based SSO login instead of a pasted key. Core keeps the tool count tiny (5) and lets the agent discover endpoints at runtime; it uses the same API-key auth as V2. You can register more than one; the server names (
fiber-ai-v2,fiber-ai-v3,fiber-ai-core) stay distinct.
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=eyJ1cmwiOiJodHRwczovL21jcC5maWJlci5haS9tY3AvdjIifQ==
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
The simplest path passes your key as a header so the agent never sees it in chat:
claude mcp add --transport http fiber-ai-v2 https://mcp.fiber.ai/mcp/v2 \
--header "x-api-key: $FIBER_API_KEY"
To also add the Core server:
claude mcp add --transport http fiber-ai https://mcp.fiber.ai/mcp \
--header "x-api-key: $FIBER_API_KEY"
Or, if you prefer to give the key via chat, drop the --header flag and the agent will pass apiKey in the request body when you tell it your key.
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
... [View full README on GitHub](https://github.com/fiber-ai/mcp#readme)