Local cost, usage, and control dashboard for MCP servers and agent skills
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Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-dashboard","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
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# MCP Dashboard [](https://github.com/SarutobiSasuke8/mcp-dashboard/actions/workflows/tests.yml) [](https://github.com/SarutobiSasuke8/mcp-dashboard/blob/main/LICENSE) [](https://github.com/SarutobiSasuke8/mcp-dashboard/blob/main/ROADMAP.md) Cost and benefit of your MCP toolbox, across **Claude Code, OpenAI Codex, Gemini CLI, and Cursor** — what each server costs in RAM, CPU, context tokens, and startup time, weighed against how often you actually call it, with working on/off switches and a skills directory. **Zero required runtime dependencies and no remote UI assets.** Python 3.10+ standard library only; `psutil` is an optional extra for live CPU sampling. The installable v1 package, isolated state, diagnostics, recovery controls, and release automation are implemented. The repository remains a **v1 release candidate** until the cross-platform release checklist and first tagged publication are completed.  Design record: [DESIGN.md](https://github.com/SarutobiSasuke8/mcp-dashboard/blob/main/DESIGN.md) — why, how it measures cost, the provenance and verdict rules, and how the control endpoint is secured. What's next: [ROADMAP.md](https://github.com/SarutobiSasuke8/mcp-dashboard/blob/main/ROADMAP.md). **Where outputs go:** inside an Obsidian vault, Markdown outputs go to its `Obsidian Vault Management/Systems/` folder. Otherwise reports, state, cache, profiles, and recovery points use platform-native user directories—never site-packages. Override the application home with `MCP_DASHBOARD_HOME`, the vault with `MCP_DASHBOARD_VAULT`, or individual outputs with `--html`/`--note`. ## Why Local *…
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