{ "markdown": "

\n \"Xverum\"\n

\n\n# Xverum — MCP Server\n\n

\n \"Install\n \"Install\n

\n\n[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)\n![MCP Compatible](https://img.shields.io/badge/MCP-Compatible-blueviolet)\n![Claude Ready](https://img.shields.io/badge/Claude-Ready-orange)\n![OpenAI Compatible](https://img.shields.io/badge/OpenAI-Compatible-lightgrey)\n![GDPR Compliant](https://img.shields.io/badge/GDPR-Compliant-green)\n![CCPA Compliant](https://img.shields.io/badge/CCPA-Compliant-green)\n\nFind and enrich people from 750M professional profiles, with Next Move Signal job-change scores.\nSearch by role, seniority, skills, industry, and location in plain English. Pull profiles with description, work history, education, and seniority, then see who's likely to change jobs next with Next Move Signal. Built for AI products and agents: sourcing candidates, building lead lists, and mapping markets and accounts.\n\nThis is a **hosted, remote MCP server** — there is nothing to install or run. Point your\nclient at the endpoint below and sign in with OAuth.\n\n## Is there an MCP server for finding people?\n\nYes. The Xverum MCP lets your AI assistant find and enrich the right people\nfrom a global professional-profiles dataset — no scraping, no browser tabs. Ask in plain\nlanguage (*\"find senior data engineers in Amsterdam\"* or *\"VPs of sales at Series A SaaS\ncompanies\"*) and it returns ranked profiles; ask about one and it pulls the full\nbackground. It's built for two jobs: sourcing job candidates by role, skills, and\nlocation, and building sales lead lists of decision-makers. Connect it to Claude or any\nMCP-compatible assistant in one command.\n\n## Prerequisites\n\nSign up at [Ask Xverum](https://ask.xverum.com/).\n\n## Connect your client\n\n```bash\nclaude mcp add --transport http xverum https://mcp.xverum.com/mcp\n```\n\n
\nClaude Code — verify\n\nVerify with `/mcp` — you should see `xverum` with three tools.\n\n
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\nCursor\n\nAdd to `~/.cursor/mcp.json`:\n\n```json\n{\n \"mcpServers\": {\n \"xverum\": {\n \"type\": \"http\",\n \"url\": \"https://mcp.xverum.com/mcp\"\n }\n }\n}\n```\n\n
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\nVisual Studio Code\n\nAdd to `.vscode/mcp.json`:\n\n```json\n{\n \"servers\": {\n \"xverum\": {\n \"type\": \"http\",\n \"url\": \"https://mcp.xverum.com/mcp\"\n }\n }\n}\n```\n\n
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\nAny other MCP client\n\nMost clients take a JSON config of this shape:\n\n```json\n{\n \"mcpServers\": {\n \"xverum\": {\n \"type\": \"http\",\n \"url\": \"https://mcp.xverum.com/mcp\"\n }\n }\n}\n```\n\nConsult your client's docs for where that file lives.\n\n
\n\nAlso in the MCP Registry as `com.xverum/mcp`, so many agents can add it by name.\n\n> **Authentication.** The server uses OAuth — on first connection your client opens a\n> browser window to sign in. No API keys to paste. See [docs/authentication.md](docs/authentication.md).\n\n## Tools\n\n| Tool | What it does | Cost |\n|------|--------------|------|\n| `search_people_xverum` | Find people matching a natural-language description – candidates, prospects, or decision-makers. Returns ranked profiles. | 1 credit per result |\n| `enrich_person_xverum` | Pull the full profile for one person by id: description, work history, education, and seniority. | 4 credits per full profile |\n| `predict_job_change_xverum` | Score how likely a person is to change roles – before they declare it. Refreshed weekly. | 10 credits per score |\n\nFull reference: [docs/tools.md](docs/tools.md).\n\n### Examples\n\n**Example 1: Search people** (`search_people_xverum`)\n```\nSenior Python developers with Kubernetes in Seattle\n```\n\n**Example 2: Enrich a profile** (`enrich_person_xverum`)\n```\nGet profile id 401241903\n```\n\n## Credits\n\n1 credit per search result · 4 credits per full profile · 10 credits per job-change score.\nEach response reports `credits_used` and `credits_remaining`.\n[See plans and pricing](https://ask.xverum.com/pricing)\n\n\n## Docs\n\n- [Quickstart](docs/quickstart.md) — connect and run your first search.\n- [Tools](docs/tools.md) — parameters, return shapes, and worked examples.\n- [Authentication](docs/authentication.md) — OAuth sign-in and what we store.\n- [Troubleshooting](docs/troubleshooting.md) — error codes and what to do about them.\n\n## Privacy & security\n\n- Authentication is handled via OAuth — no API keys are stored or transmitted in config files.\n- The server exposes exactly the three tools listed above. It cannot write, delete, or take\n any action on your behalf.\n- Profile data comes from Xverum's licensed professional-profiles dataset.\n\n## Links\n\n- [Ask Xverum](https://ask.xverum.com/) — website\n- [MCP Registry](https://registry.modelcontextprotocol.io) — `com.xverum/mcp`\n\n## Support\n\nQuestions or issues: open an issue on this repo, or contact us via\n[agentic.support@xverum.com](mailto:agentic.support@xverum.com).\n\n[![smithery badge](https://smithery.ai/badge/xverum/xverum-mcp)](https://smithery.ai/servers/xverum/xverum-mcp)\n", "bytes": 5673, "sha": "02c0e3548e13173d04983742717bfe4bf634e3b1d6be93519bc8dd11170f1980", "repo_slug": "xverum-llc/xverum-mcp", "fonte": "repo", "truncated": false, "api": "https://agentalog.com/api/listings/mcp_com_xverum_mcp_e5c7d6ee/readme" }