Provides tools for monitoring Reddit, including continuous monitoring for new mentions of topics, brands, or competitors.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Veezee Skills MCP Server enrich LinkedIn profile for John Doe"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
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.
launch-sentiment-sweep: one-shot sweep of Reddit and X reactions to a launch or announcement in a time window, read out as volume, quotes, themes, and notable accounts. Reddit and X.
outreach-list-builder: turn a role or ICP spec into a ranked outbound sales list, each prospect enriched with company context and a personalized opener rationale. LinkedIn.
Related MCP server: Prospeo MCP Server
MCP endpoints: https://mcp.veezee.io/linkedin, /reddit, /x (streamable-http, one platform each) and https://mcp.veezee.io/all (every platform's tools in one mount).
Free start, no signup: your agent mints its own free key (POST https://api.veezee.io/v1/keys/mint, or a Veezee sign-in on MCP hosts that support authorization) and runs under a shared per-IP daily budget covering all platforms. Buy credits at https://veezee.io/upgrade for more.
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/
npm test checks every pack: frontmatter shape, name matches its directory, and forbidden-vocabulary scan. CI runs it on every push.
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.
This server cannot be deployed
Give AI agents the LinkedIn tools to find, qualify, engage, and follow up with prospects.
Live LinkedIn data for AI agents: profiles, companies, jobs, posts, email finding. No account risk.
Full LinkedIn access for AI agents: leads, messaging, and campaigns with safe limits built in.
Managed LinkedIn MCP server for AI agents: search, connect, message and enrich on accounts you own.
