Veezee provides LinkedIn, Reddit, and X data for AI agents via MCP, REST, CLI, or SDK with a free tier of 200 credits per day.
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Get ListedVeezee is a data platform that gives AI agents structured access to LinkedIn, Reddit, and X (formerly Twitter) content. It solves the problem of social media platforms blocking automated access by providing a unified API that agents can use to search for people, profiles, posts, and discussions. Built specifically for AI agents, Veezee offers multiple integration methods including MCP (Model Context Protocol), REST API, a TypeScript SDK, and a CLI tool. The platform is designed for developers building agentic workflows that require real-time social data for tasks like candidate sourcing, prospect enrichment, brand monitoring, and market research.
Multi-Platform Data Access: Veezee covers three major social platforms in one product. LinkedIn tools include profile lookup, people search, company details, and post retrieval. Reddit tools enable searching posts, comments, subreddits, and users, plus fetching full discussion threads. X tools provide profile data, tweet search, and individual tweet metrics. All tools are available through a single credit meter.
MCP Server Integration: The platform exposes a Model Context Protocol server at https://mcp.veezee.io/all that bundles all three platforms into one connection. Agents using MCP-compatible hosts like Claude Code, Cursor, Windsurf, VS Code, Cline, Zed, or n8n can connect with a single configuration line. Separate endpoints exist for each platform individually.
Agent-Friendly Authentication: Veezee eliminates human signup friction by allowing agents to mint their own free API key in one API call. The key provides 200 credits per IP per day (approximately 6,000 per month) with no account or credit card required. For headless or CI environments, keys can be created via REST and passed in connection headers.
Credit-Based Pricing: All tools consume credits based on complexity, with costs ranging from 2 credits for URL resolution to 10 credits for people search. Failed calls automatically refund credits. Paid packs start at $20.00 for 10,000 credits, and a $99.00/month plan includes 80,000 credits. Credits can be added to existing keys without reconfiguration.
Multiple Integration Surfaces: Beyond MCP, Veezee offers a REST API with an OpenAPI contract at /openapi.json, a TypeScript SDK (@veezee/sdk) with built-in retries and idempotency, a CLI tool (vz) that exposes every tool as a subcommand, and installable agent skills via npx skills add veezeehq/veezee-skills.
Transparent Usage Tracking: Every API response includes the credit cost of the call. A get_usage tool (0 credits) allows agents to check remaining credits and recent charges. The dashboard provides human-readable usage history.
An agent connects to Veezee by adding the MCP server URL to its configuration, or by minting an API key via a single REST call. Once connected, the agent can call any of the 17 available tools to search for people, retrieve profiles, fetch posts, or explore discussions across LinkedIn, Reddit, and X. Each tool returns structured JSON data with credit costs attached. The same key works across MCP, REST, SDK, and CLI interfaces, and credits are deducted from a unified meter. If the free daily allowance is exceeded, the agent can either wait or use a prepaid credit pack.
Veezee is built for developers and teams building AI agents that need real-time social data. Primary users include software engineers creating agentic workflows for recruiting, sales prospecting, market research, and brand monitoring. The platform suits startups and small teams that need self-serve access to social data without enterprise contracts or per-record billing. It also appeals to developers migrating from expensive alternatives like Proxycurl or the official X API, as Veezee offers a simpler pricing model with no subscription required.
