Marketing
fiber.ai
Provides APIs for searching companies and people and enriching their profiles, useful for lead generation and sales intelligence.
ENDPOINT 1
https://mcp.fiber.ai/mcp/v2
MCP server metadata
- Name
- fiber-api
- Version
- 3.2.0
Fiber AI API - Pre-built tools for common operations. These tools provide direct access to specific Fiber APIs with proper input schemas. Each tool has detailed documentation about required and optional parameters. EXAMPLES: - api_sync_contact_enrichment: Get emails/phones from LinkedIn profile - api_company_search: Search companies by criteria - api_people_search: Search people by criteria AUTHENTICATION: - Pass apiKey directly in the tool call parameters, OR - Configure mcp.json headers with x-api-key/x-apikey (Authorization: Bearer <apiKey> also works).
Known tools 10
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.fiber-api]
url = "https://mcp.fiber.ai/mcp/v2"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"fiber-api": {
"type": "http",
"url": "https://mcp.fiber.ai/mcp/v2"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: fiber-api
Remote MCP URL: https://mcp.fiber.ai/mcp/v2
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"fiber-api": {
"url": "https://mcp.fiber.ai/mcp/v2"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"fiber-api": {
"type": "http",
"url": "https://mcp.fiber.ai/mcp/v2"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "fiber-api",
"transport": "streamable-http",
"url": "https://mcp.fiber.ai/mcp/v2"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 2
https://mcp.fiber.ai/mcp/v3
Known tools 0
No tool metadata was available in the registry cache.
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.fiber-ai]
url = "https://mcp.fiber.ai/mcp/v3"
enabled = true
bearer_token_env_var = "MCP_BEARER_TOKEN"
Authentication is required. Replace the placeholder locally and never commit a secret.
Claude Code
.mcp.json
{
"mcpServers": {
"fiber-ai": {
"type": "http",
"url": "https://mcp.fiber.ai/mcp/v3",
"headers": {
"Authorization": "Bearer YOUR_BEARER_TOKEN"
}
}
}
}
Authentication is required. Replace the placeholder locally and never commit a secret.
Claude Desktop
Settings → Connectors → Add custom connector
Name: fiber-ai
Remote MCP URL: https://mcp.fiber.ai/mcp/v3
Add the URL as a custom connector, then complete its supported authorization flow. Claude Desktop remote connectors are configured in the UI.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"fiber-ai": {
"url": "https://mcp.fiber.ai/mcp/v3",
"headers": {
"Authorization": "Bearer YOUR_BEARER_TOKEN"
}
}
}
}
Authentication is required. Replace the placeholder locally and never commit a secret.
Visual Studio Code
.vscode/mcp.json
{
"servers": {
"fiber-ai": {
"type": "http",
"url": "https://mcp.fiber.ai/mcp/v3",
"headers": {
"Authorization": "Bearer ${input:mcp-token}"
}
}
},
"inputs": [
{
"type": "promptString",
"id": "mcp-token",
"description": "fiber-ai bearer token",
"password": true
}
]
}
Authentication is required. Replace the placeholder locally and never commit a secret.
Generic MCP
Client-specific MCP configuration
{
"name": "fiber-ai",
"transport": "streamable-http",
"url": "https://mcp.fiber.ai/mcp/v3",
"headers": {
"Authorization": "Bearer YOUR_BEARER_TOKEN"
}
}
Authentication is required. Replace the placeholder locally and never commit a secret.
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 3
https://mcp.fiber.ai/mcp
MCP server metadata
- Name
- fiber-core
- Version
- 3.2.0
Fiber AI API - Discovery and execution tools. HOW TO USE (3 steps): 1. search_endpoints("your intent", constraints=[...], preferredTags=[...], tagPack="...") - Choose the best operations with ranked alternatives 2. get_endpoint_details_full("operationId") - Get complete schema and examples for complex fields 3. call_operation("operationId", {body: {...}}) - Execute EXAMPLES: - "find companies" → search_endpoints("find AI companies in SF", constraints=["country", "headcount"]) → companySearch - "get email" → search_endpoints("reveal work email for known profile") → syncContactEnrichment - "find people" → search_endpoints("find VP engineering in fintech") → peopleSearch AUTHENTICATION: Every API call requires an apiKey parameter. Ask the user for their Fiber API key (starts with sk_live_ or sk_test_) and include it in every call_operation request body. FOR COMPLEX WORKFLOWS (bulk operations, audiences): Read llms://fiber.ai/llms.txt for step-by-step guidance. For API choice among similar operations, read llms://fiber.ai/api-selector.
Known tools 5
list_all_endpointsList available Fiber API endpoints with optional tag/search filtering.
Inferred read-onlyget_endpoint_details_fullGet COMPLETE schema and details for a specific API operation.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.fiber-core]
url = "https://mcp.fiber.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"fiber-core": {
"type": "http",
"url": "https://mcp.fiber.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: fiber-core
Remote MCP URL: https://mcp.fiber.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"fiber-core": {
"url": "https://mcp.fiber.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"fiber-core": {
"type": "http",
"url": "https://mcp.fiber.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "fiber-core",
"transport": "streamable-http",
"url": "https://mcp.fiber.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for fiber.ai was fetched 2026-08-29T14:15:07.800Z.
fiber.ai is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.