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Free
Server data from the Official MCP Registry
X (formerly Twitter) posts, profiles, and search for AI agents. No key needed to start.
About
X (formerly Twitter) posts, profiles, and search for AI agents. No key needed to start.
Remote endpoints: streamable-http: https://mcp.veezee.io/x
Security Report
10.0
Low Risk10.0Low RiskValid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved).
6 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-veezee-x-twitter": {
"url": "https://mcp.veezee.io/x"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Veezee MCP server
LinkedIn people and company data for AI agents, over MCP or REST. This repo is the public home and issue tracker for the hosted server io.veezee/linkedin on the official MCP Registry. The server is a hosted service; there is nothing to build or run from this repo.
- Endpoint:
https://mcp.veezee.io/linkedin(streamable-http, LinkedIn only).https://mcp.veezee.io/allexposes every platform's tools.https://mcp.veezee.io/mcpstill resolves too, as a legacy alias (the MCP Registry entry points at it). Legacy HTTP+SSE:https://mcp.veezee.io/sse. - No key needed to start: every data tool works keyless, under a shared budget of 20 credits per IP per day, recent data only. Buy a key at https://veezee.io/upgrade for a higher budget; it's shown once on the confirmation page.
- Website and docs: https://veezee.io
- Found a bug or a gap? Open an issue or write hello@veezee.io.
The six tools
| tool | what it does |
|---|---|
resolve_url | identify a LinkedIn URL |
get_profile | get a person profile |
search_people | search people |
get_company | get a company |
get_posts | recent posts by a person or company |
get_usage | check credits and recent charges (free; needs a key) |
Full tool reference with schemas and credit costs: https://veezee.io/docs
Install
Claude Code:
claude mcp add --transport http veezee https://mcp.veezee.io/linkedin
Codex CLI:
codex mcp add veezee --url https://mcp.veezee.io/linkedin
Cursor (.cursor/mcp.json or ~/.cursor/mcp.json):
{
"mcpServers": {
"veezee": { "url": "https://mcp.veezee.io/linkedin" }
}
}
VS Code (.vscode/mcp.json):
{
"servers": {
"veezee": { "type": "http", "url": "https://mcp.veezee.io/linkedin" }
}
}
claude.ai: Settings > Connectors > Add custom connector > https://mcp.veezee.io/linkedin.
More clients (Windsurf, Cline, Zed, plain REST), each snippet verified against the client's official docs: https://veezee.io/docs/clients
REST twin
Every tool has a REST route with identical semantics at https://api.veezee.io (contract: https://veezee.io/openapi.json). A typed TypeScript SDK and CLI ship as @veezee/sdk (docs: https://veezee.io/docs/sdk).
Links
- Agent setup guide: https://veezee.io/agent-setup/prompt.md
- Operating rules for agents: https://veezee.io/AGENTS.md
- Pricing: https://veezee.io/pricing
- What we store and how keys are handled: https://veezee.io/trust
- Skills packs: https://github.com/veezeehq/veezee-skills
Reviews
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