
Veezee gives AI agents structured access to LinkedIn, Reddit, and X data via MCP, REST, SDK, and CLI.
Veezee is a data API platform that enables AI agents to access structured profiles, posts, and search results from LinkedIn, Reddit, and X (Twitter) without the usual rate limits or authentication hurdles.
Veezee provides a unified tool registry and credit meter across three social platforms—LinkedIn, Reddit, and X (Twitter). It accepts agent requests via MCP, REST, CLI, or SDK and returns structured data such as user profiles, posts, and search results. The platform is built for agentic workflows and offers free credits with no account required.
mcp.veezee.io/all), REST API with OpenAPI contract, TypeScript SDK, CLI (npx @veezee/sdk), and installable agent skills.Agents first set up access by either adding the MCP server URL, running a CLI command to mint a key, or using the SDK's mint() method. Then they call tools like linkedin profile get, reddit search, or x posts with identifiers or queries. The platform returns structured JSON data, and credits are consumed only on successful responses.
Yes, there is a free tier giving 200 credits per IP per day (roughly 6,000 per month). No account or credit card required. You can also get 10,000 free credits by creating an account.
Veezee supports LinkedIn, Reddit, and X (Twitter). All three are accessible through the same tool registry and credit meter.
You can use the MCP endpoint https://mcp.veezee.io/all with any MCP-compatible client (Claude Code, Cursor, Windsurf, VS Code, etc.), the REST API, the TypeScript SDK (@veezee/sdk), the CLI (npx @veezee/sdk), or installable agent skills.
Failed calls refund credits automatically. Only calls that return data spend credits.
Free tier has a daily credit cap. Production plan allows 120 calls per minute, 5 concurrent requests, and up to 30 search results per cal
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