MCP Available Tools

The Buska MCP server exposes 3 tools that AI assistants can call:

1. search_mentions

Search social mentions by keyword and platform. Equivalent to the POST /v1/mentions/search API endpoint.

2. score_lead

AI-powered B2B lead qualification. Equivalent to the POST /v1/leads/score API endpoint.

3. get_signals

Retrieve qualified leads with filters. Equivalent to the GET /v1/signals API endpoint.

Example usage with Claude

Once the MCP server is connected, you can ask Claude natural language questions like:

• "Search Twitter for people looking for a CRM tool and score the results"
• "Find the top 5 hot leads from LinkedIn this week"
• "Score this Reddit post for buying intent: [paste text]"
• "Get all ACTIVE signals with a score above 7 from the last 24 hours"

Practical example: multi-step AI agent workflow

Try asking Claude a complex query that chains multiple tools together:

Ask Claude: "Search Twitter for people looking for a CRM tool, score the top results, and show me the ones with buying intent above 70"

Claude will automatically:

1. Call search_mentions with keyword "CRM tool" on Twitter
2. Call score_lead for each result to get detailed scoring
3. Filter results where the score exceeds 70
4. Present a summary table with the qualified leads, their scores, and reasoning