Veezee Skills Server
БесплатноНе проверенEnables AI agents to enrich LinkedIn prospect data with current role, company, and experience through MCP or REST, with credit-metered access and free credits.
Описание
Enables AI agents to enrich LinkedIn prospect data with current role, company, and experience through MCP or REST, with credit-metered access and free credits.
README
Agent skills for Veezee: LinkedIn, Reddit, and X (formerly Twitter) data for AI agents over MCP or REST, credit-metered, no key needed to start.
Each skill is a SKILL.md pack under skills/<name>/, in the standard agent-skills format (YAML frontmatter with name and description, body of instructions). Point your agent runtime at the pack, or copy it into your project's skills directory.
Skills
- prospect-enrich: enrich known prospects with current role, company, and experience data. LinkedIn.
- candidate-sourcing: turn a role spec (title, company, school) into a ranked, enriched shortlist. LinkedIn.
- company-enrichment: enrich a batch of companies (URLs, slugs, or website domains) with firmographics. LinkedIn.
- account-research: one-account pre-outreach briefing: company facts, key people, recent posts. LinkedIn.
- post-voice-research: what a person or company posts about: topics, tone, cadence. LinkedIn.
- reddit-monitoring: continuously monitor Reddit for new mentions of a topic, brand, or competitor, deduped across polls. Reddit, with an X (formerly Twitter) escalation path.
The server these skills drive
- MCP endpoints:
https://mcp.veezee.io/linkedin,/reddit,/x(streamable-http, one platform each) andhttps://mcp.veezee.io/all(every platform's tools in one mount). - No key needed to start: every call runs keyless under a shared per-IP daily budget covering all platforms. Buy a key at https://veezee.io/upgrade for a higher budget.
- Docs: https://veezee.io/docs, per-client setup: https://veezee.io/docs/clients
- Machine index of these skills: https://veezee.io/.well-known/agent-skills/index.json
- The same packs ship inside the @veezee/sdk npm package under
skills/
Validation
npm test checks every pack: frontmatter shape, name matches its directory, and forbidden-vocabulary scan. CI runs it on every push.
Contributing
Truth rule: a skill may only instruct what the shipped tools actually do (5 linkedin_*, 6 reddit_*, 5 x_*, plus get_usage; see https://veezee.io/docs). Claims a test cannot verify do not merge.
Установка Veezee Skills Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/veezeehq/veezee-skillsFAQ
Veezee Skills Server MCP бесплатный?
Да, Veezee Skills Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Veezee Skills Server?
Нет, Veezee Skills Server работает без API-ключей и переменных окружения.
Veezee Skills Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Veezee Skills Server в Claude Desktop, Claude Code или Cursor?
Открой Veezee Skills Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Veezee Skills Server with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
