Veezee Skills MCP Server
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
veezee-skills
Agent skills for Veezee: LinkedIn data for AI agents over MCP or REST, credit-metered, 500 free credits with no signup.
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.
The server these skills drive
- MCP endpoint:
https://mcp.veezee.io/mcp(streamable-http; legacy SSE athttps://mcp.veezee.io/sse) - 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
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 seven shipped tools actually do (see https://veezee.io/docs). Claims a test cannot verify do not merge.
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