Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Evidence-backed Linux performance triage over MCP
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.5.1) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, OpenTakeoff
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.
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Stallhunt is a Linux-first command-line performance triage tool.
Repository: https://github.com/guillem/stallhunt
Traditional tools such as top, htop, iotop, vmstat, and iostat expose measurements. They are excellent tools, but the human operator still has to answer the harder question:
What is actually constraining useful work right now, who is suffering, and who is probably responsible?
Stallhunt aims to automate that reasoning.
Requirements:
/proc/pressure are required for pressure verdicts,See docs/install.md for cargo install, release tarballs, and the support matrix.
From a clone:
cargo install --path .
stallhunt
Bare stallhunt runs a default 10-second hunt. On a terminal it renders a compact, color-coded report; piped or redirected output (stallhunt | cat, >file, CI) is unchanged plain text. Use --json for the full structured evidence, --verbose to expand the compact report's collapsed caveats back to full text, or --no-color (also NO_COLOR=1) to disable color without changing the layout:
stallhunt --json
stallhunt hunt --duration 30s stallhunt hunt --verbose
Capture and replay a normalized observation:
stallhunt record --duration 10s --output incident.json
stallhunt replay incident.json stallhunt redact incident.json --output incident.redacted.json
Follow finding lifecycle for a bounded number of rolling windows. On a terminal this opens a full-screen TUI (q quit, arrows/jk select, Enter/Space show or hide detail, PageUp/PageDown/Home/End scroll, h/? help). At 120×30 or larger it also shows the selected host/cgroup's six process-role lists beside the lifecycle panels; piped output or --json remain append-only text/JSON and carry the same scoped roles:
stallhunt watch --interval 2s --count 3
Serve Model Context Protocol tools over stdio so coding agents can query diagnoses directly — a resident sampler keeps a rolling view of recent pressure for instant answers (for Claude Code: claude mcp add stallhunt -- stallhunt mcp; see docs/mcp-server.md):
stallhunt mcp [--interval 2s] [--no-sampler]
Source packaging for an OpenAI local plugin, a Linux MCPB extension for compatible clients, and official MCP Registry metadata lives in the repository. These packages deliberately keep diagnosis local instead of hosting Stallhunt on a machine other than the one being investigated. See docs/directory-distribution.md.
Generate shell completions:
stallhunt completions bash > ~/.local/share/bash-completion/completions/stallhunt
stallhunt completions zsh > ~/.local/share/zsh/site-functions/_stallhunt
Recording output paths are not overwritten unless --force is supplied. Ten-second hunts are the normal diagnostic path; sub-second observations are telemetry smoke tests and do not receive healthy or pressure verdicts. See docs/development.md for validation and opt-in acceptance commands.
The primary abstraction is lost time, not utilization.
High utilization is not automatically a problem. A machine using 95% of its RAM may be perfectly healthy. A CPU at 70% utilization may still have latency-sensitive work suffering from scheduler contention. The project therefore focuses on evidence of stalled progress:
Example output shape:
$ stallhunt
SYSTEM HEALTH: DEGRADED
Evidence: CPU PSI some avg10: 23.4% run queue latency estimate: elevated rustc CPU consumption: 735% postgres runnable delay: 3.8s / 10s
Memory: no significant pressure detected. High memory occupancy alone is not treated as a bottleneck.
This output is aspirational; the project will reach it incrementally.
The first useful release targets Linux and focuses on:
Later releases may add:
.
├── AGENTS.md ├── CHANGELOG.md ├── Cargo.toml ├── LICENSE-APACHE ├── LICENSE-MIT ├── README.md ├── src/ │ ├── analysis.rs │ ├── cgroup.rs │ ├── cli.rs │ ├── cpu.rs │ ├── duration_us.rs │ ├── io.rs │ ├── main.rs │ ├── mcp/ │ ├── memory.rs │ ├── observe.rs │ ├── psi.rs │ ├── record.rs │ ├── render.rs │ ├── report.rs │ ├── style.rs │ ├── tui/ │ └── watch.rs ├── tests/ │ ├── cgroup_acceptance.rs │ ├── cli.rs │ ├── cpu_acceptance.rs │ ├── io_acceptance.rs │ ├── mcp.rs │ ├── memory_acceptance.rs │ └── fixtures/ │ ├── cpu/ │ └── proc-* └── docs/ ├── README.md ├── install.md ├── product.md ├── architecture.md ├── data-model.md ├── telemetry.md ├── inference-engine.md ├── cli-ux.md ├── security-privileges.md ├── testing.md ├── development.md ├── codex-workflow.md ├── experiments.md ├── references.md ├── roadmap.md ├── status.md ├── glossary.md └── decisions/
Start with AGENTS.md, then docs/README.md.
Stallhunt reads bounded local Linux telemetry and does not independently send it over the network. MCP clients may transmit tool results according to their own data policies. See the full Stallhunt privacy policy for the data, storage, sharing, retention, and contact disclosures.
Dual-licensed under MIT or Apache-2.0, at your option.
For the current milestone, implemented capabilities, validation, known limits, and the next recommended task, see docs/status.md. Planned sequencing remains in docs/roadmap.md.