Server data from the Official MCP Registry
AI lead-finder for agents: pull scored leads, draft replies in your voice, work the pipeline.
AI lead-finder for agents: pull scored leads, draft replies in your voice, work the pipeline.
Remote endpoints: streamable-http: https://www.easeclaw.com/api/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-priteshmann-easeclaw": {
"url": "https://www.easeclaw.com/api/mcp"
}
}
}From the project's GitHub README.
An agent skill for EaseClaw — the AI lead-finder your agent can drive. Install this skill and your agent (Claude Code, OpenClaw, or anything that reads SKILL.md) can pull warm leads scored by buying intent, read the source posts, draft replies in your voice, and work your pipeline.
Your agent can never post. You review and send every reply. That's the product's hard rule, and Rule 1 of this skill.
npx skills add priteshmann/easeclaw-agent
Then set your key (minted at https://www.easeclaw.com/leads/api):
export EASECLAW_API_KEY=ec_live_...
Or connect the MCP server directly — no skill needed:
claude mcp add --transport http easeclaw https://www.easeclaw.com/api/mcp \
--header "Authorization: Bearer $EASECLAW_API_KEY"
Six capabilities over MCP or REST (OpenAPI: https://www.easeclaw.com/openapi.json):
list_projects, list_leads, get_lead, draft_reply, update_lead, get_activity.
Full usage rules and the core workflow are in SKILL.md.
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