Unifapi | Give Your Agent Live Public Data

Remote

unifapi.comData & Analytics4Updated 21w ago

About Unifapi | Give Your Agent Live Public Data

UnifAPI is a hosted MCP server giving AI agents access to live public-data APIs for creator research, social listening, and competitor monitoring. Clients can browse operations, inspect their parameters, and call APIs.

Key features

01Search a public-data operation catalog
02Inspect parameters, schemas, and examples
03Call operations and receive data
04Cover creator research and social listening
05Authenticate with OAuth or an API key

Use cases

01Find creators across social platforms
02Monitor competitors' public content and trends
03Build creator shortlists
04Conduct market research and enrich leads

MCP support

The hosted server exposes `list_operations`, `get_operation`, and `call_api` to MCP clients over Streamable HTTP for discovering and calling public-data APIs.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.unifapi.com

Copy install command

Claude CodeTerminalclaude mcp add --transport http unifapi https://mcp.unifapi.com

Cursor.cursor/mcp.json{"mcpServers":{"unifapi":{"type":"http","url":"https://mcp.unifapi.com"}}}Open in Cursor

VS Code.vscode/mcp.json{"servers":{"unifapi":{"type":"http","url":"https://mcp.unifapi.com"}}}Open in VS Code

Claude Desktopclaude_desktop_config.json{"mcpServers":{"unifapi":{"type":"http","url":"https://mcp.unifapi.com"}}}

Windsurf~/.codeium/windsurf/mcp_config.json{"mcpServers":{"unifapi":{"serverUrl":"https://mcp.unifapi.com"}}}

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

UnifAPI MCP Server

UnifAPI is a hosted MCP server for AI agents that need live public-data APIs. It connects Codex, Claude Code, Cursor, and other Model Context Protocol clients to task-focused Skills for creator research, social listening, competitor monitoring, KOL pricing, and public web data workflows.

MCP server

Repository: unifapi-agent/unifapi-mcp-server
Registry name: com.unifapi/mcp
Transport: Streamable HTTP
Server URL: https://mcp.unifapi.com
MCP setup: unifapi.com/mcp
Website: unifapi.com
API catalog: unifapi.com/apis
Skills catalog: unifapi.com/skills
Documentation: docs.unifapi.com/mcp

Quick install

Codex:

codex mcp add unifapi --url https://mcp.unifapi.com

Claude Code:

claude mcp add --transport http unifapi https://mcp.unifapi.com

Cursor:

{
  "mcpServers": {
    "unifapi": {
      "url": "https://mcp.unifapi.com"
    }
  }
}

What agents can do

UnifAPI exposes three MCP tools:

list_operations - search the public-data operation catalog.
get_operation - inspect parameters, schemas, and call examples.
call_api - call a concrete operation and receive data plus billing metadata.

Common workflows include:

X (Twitter) search, creator lookup, and KOL pricing research.
TikTok, YouTube, Instagram, Reddit, and LinkedIn-style public-data analysis.
Influencer discovery and creator shortlist generation.
Competitor monitoring from public posts, comments, profiles, and trends.
Market research and lead enrichment for AI agents.

Authentication

OAuth is the recommended authentication path. Compatible MCP clients discover the protected resource metadata from:

https://mcp.unifapi.com/.well-known/oauth-protected-resource

Clients that cannot complete OAuth can use a UnifAPI API key as a bearer token. See the MCP docs for current setup details.

Keywords

Model Context Protocol, MCP server, remote MCP server, hosted MCP server, AI agent tools, public data API, social media API, Twitter API, X API, TikTok API, YouTube API, Instagram API, Reddit API, LinkedIn API, creator research, influencer discovery, KOL pricing, competitive intelligence, social listening, UnifAPI.

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.