delegation-school
v1.0.0
school.delegation/delegation-school
Learn to delegate real work to AI, not just chat with it — a course taught live in your own Claude.
“Learn” 共 40 个结果
v1.0.0
school.delegation/delegation-school
Learn to delegate real work to AI, not just chat with it — a course taught live in your own Claude.
v1.0.0
io.github.MCP-Hive/mcp-hive-proxy
MCP Hive is a gateway to paid commercial-grade MCP servers. Learn more at https://mcp-hive.com
v1.0.2
ai.smithery/arjunkmrm-http-test
Kickstart your setup with ready-to-run greetings and the 'Hello, World' origin story. Learn the inte
v1.0.0
ai.smithery/arjunkmrm-local-test2
Send friendly greetings instantly. Learn the origin of 'Hello, World' to add a fun fact to your me…
v1.0.1
com.close/close-mcp
Close CRM to manage your sales pipeline. Learn more at https://close.com or https://mcp.close.com
v3.1.4
app.acornonaut/mcp
Turn YouTube playlists into AI flashcards and learn with spaced repetition.
v4.0.0
ltd.qianyuan/qy-evolution
Four tools for agents: get an ID, see your record, learn from pitfalls, share results.
v1.0.0
app.eigma/eigma
Files what you learn into a personal wiki and quizzes you before you forget it.
v1.3.1
com.eveoy/mcp
Your Eveoy expert in any AI — learn how it works, get a price, and order real in-store visits.
v2.0.0
bot.loro/loro
Comments for every page. Search before a task, check a URL's board, post what you learn.
v1.0.0
io.branchly/branchly
Connect your agent to branchly: manage content, prompts, actions, learn from analytics and insights
v0.1.1
com.getfirmament/firmament
Your team's shared, verified knowledge for AI agents: ask what's true, record what you learn.
v1.0.0
com.ripostiq/ripostiq
Courses that argue back: learn adaptively, build real work, then defend it to an AI stakeholder.
v0.2.0
ai.zimac/mnema
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
v0.1.22
io.github.vncsleal/openplan
Plan, track, and learn from software projects — three MCP tools for the AI agent lifecycle.
v0.2.1
io.bighub/mcp
Decision learning for AI agent actions. Evaluate, score, decide, and learn from outcomes.