friday-studio MCP Server
friday-platform/friday-studio
[](https://agentrank-ai.com/tool/friday-platform--friday-studio/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Agent Harness Platform — shareable workspaces, MCP tools, skills, memory, and cron/webhook automations. Self-hosted and transparent.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
friday-platform/friday-studio is a TypeScript tool. Agent Harness Platform — shareable workspaces, MCP tools, skills, memory, and cron/webhook automations. Self-hosted and transparent. Topics: ai, assistant, agents, ai-orchestration, ai-tools, ai-workflows, skills, chatbot, llm, mcp, self-hosted, typescript, harness.
Ranked #11038 out of 24846 indexed tools.
Ecosystem
Score Breakdown
104 stars → growing community
Last commit 2mo ago → moderate activity
33/98 issues closed → many open issues
9 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# Friday Studio Friday turns natural-language asks into repeatable AI-powered workflows. You describe what you want in chat — *"every morning, triage my inbox, draft replies, file real asks as Linear tickets"* — and the result is a `workspace.yml` you can read, version, share, and run on schedule. Run it once, or run it forever. **Why both a chat and a YAML?** Prompts decay. Run the same prompt tomorrow and the output drifts; bump the model and your old contracts shift with it. Friday keeps both halves of the loop: **conversation** is how you build, **configuration** is how you ship — agents, MCP tools, signals (HTTP, cron, Slack, email, webhook), and the jobs that wire them together. Read the file. Version it. Hand it to a teammate and it runs the same on their machine. Two surfaces, one runtime: - **Chat in the playground.** Friday picks up your installed skills, MCP servers, memory, and OAuth credentials, and actually drives your tools instead of describing what it would do.Read full README on GitHub →
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