REA
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
Offline context-budget MCP server for AI coding agents.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Node.js
SettingsDeveloperEdit Config
{
"mcpServers": {
"ctxcap": {
"command": "npx",
"args": [
"-y",
"ctxcap-mcp"
]
}
}
}Use ctxcap and tell me what you can do for me, then show me one thing✓ If Claude says it is using ctxcap or shows a ctxcap tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect ctxcap yet
ctxcap runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect ctxcap
B · Others in Developer tools that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user ctxcap -- npx -y ctxcap-mcpYou should see ctxcap listed as connected
Use ctxcap and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using ctxcap or shows a ctxcap tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use ctxcap and tell me what you can do for me, then show me one thing✓ If Cursor says it is using ctxcap or shows a ctxcap tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use ctxcap and tell me what you can do for me, then show me one thing✓ If VS Code says it is using ctxcap or shows a ctxcap tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user ctxcap -- npx -y ctxcap-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"ctxcap": {
"command": "npx",
"args": [
"-y",
"ctxcap-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"ctxcap": {
"command": "npx",
"args": [
"-y",
"ctxcap-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"ctxcap": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ctxcap-mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: ctxcap-mcpBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 13, 2026
The registry name was verified with the GitHub account Naeha-S, which owns the repo
Code last changed today
Uses MIT
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
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 today, and the latest version (0.1.4) reached the registry today.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: REA, GitHub, Serena MCP: the IDE for your agent
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Offline token-budget linter for agent context files. It measures CLAUDE.md, AGENTS.md, prompts/**, and .cursor/rules/**, finds references that no longer resolve, and hands your agent a ranked, verifiable plan to get back under budget.
No config, API key, network, or telemetry. Node >= 20. Two runtime dependencies: fast-glob and gpt-tokenizer.
npx ctxcap --json
Context files get trimmed by agents badly: the agent rewrites the file from memory, drops the ## Never rules, hits the budget, and ships a worse file. ctxcap closes that loop with line ranges, safety flags, and verification.
npx ctxcap --plan --budget 40000 # ranked plan, JSON
npx ctxcap --plan --budget 40000 --apply # splice atomically npx ctxcap --verify # catch drift and violations
Three rules for the agent:
startLine/endLine. Never rewrite a file from scratch.preserve.satisfiable is false, report minAchievable and stop.CLI plans are written to .ctxcap/plans/ .json. Add .ctxcap/ to .gitignore; plans are local working state, not source. Plans expire after 24 hours. If a plan is missing or expired, verification returns the structured PLAN_EXPIRED error and you should generate a new plan. Run --apply on a clean tree, then review with git diff before committing. Do not run --apply in CI.
Agents can fetch the five-line loop from llms.txt.
This is a real measurement from the ctxcap repository itself:
$ npx ctxcap --json
total: 476 baseline: 363 delta: +113 files: 2
$ npx ctxcap --plan --budget 400 satisfiable: false current: 476 minAchievable: 476 tokensRemaining: 76 plan: [] preserve: AGENTS.md:19-20, llms.txt:17-30
The result correctly stops instead of cutting load-bearing instructions. For a successful before/after case study, use a public repository with a larger context file and publish the commit, JSON reports, plan, and verification result together.
To publish a reproducible case study, include the repository commit, the ctxcap --json report before and after, the plan JSON, and the verification result. This makes the reclaim measurable and lets readers reproduce it.
Context can be stale as well as large. Run the dead-reference pass to find paths, commands, globs, and @path/#path references that no longer resolve:
npx -y ctxcap --stale --json
It reports reclaimable tokens and emits inline SARIF annotations with --sarif. Use --fail-on stale to gate CI, or --stale-fix to print a deletion diff without modifying files.
The stale pass skips fenced code blocks and suspicious tokens containing ~, $, ://, or <. Add to a line to suppress that line. --stale-fix prints a deletion diff; there is deliberately no --stale --apply mode.
Agent context files — CLAUDE.md, AGENTS.md, prompts/**, .cursor/rules/ — grow every sprint. They get pasted into every request and silently burn your context window. Nothing gates them at the repo level.
ctxcap fixes that: it measures context files, tracks token deltas against a committed baseline, finds stale references, produces ranked plans, verifies edits, fails CI when you define a budget, and exposes an MCP server so agents can check themselves.
tokenlinttokenlint hooks your editor and reminds you per turn about wasteful habits. ctxcap gates the repo: it measures context files against a committed baseline, reports the delta on every PR, and fails only when you ask it to. Different layer — CI and review, not keystrokes.
No baseline, stale-reference pass, ranked plan, verify step, SARIF, or MCP surface there. If you want per-turn nudges inside Claude Code, use theirs; if you want a gate on prompts/**, use this.
npm i -D ctxcap
npx ctxcap --update-baseline
Or run without installing:
npx -y ctxcap --json
Run the unpinned latest ctxcap from the repository you want to inspect. It reads the current working directory, so no files need to be copied into the ctxcap repository:
cd path/to/your-repo
npx ctxcap --json npx ctxcap --stale --json npx ctxcap --plan --budget 40000
Use the pinned version in release checks or reproducible CI. For a real edit loop, review the plan, apply it, then verify the saved plan:
npx -y ctxcap@1.2.0 --plan --budget 40000
npx -y ctxcap@1.2.0 --plan --budget 40000 --apply npx -y ctxcap@1.2.0 --verify
Start with a baseline when you want pull requests to report growth:
npx -y ctxcap@1.2.0 --update-baseline
git add ctxcap-baseline.json git commit -m "Add ctxcap baseline"
Add a .ctxcap.json file to customize included paths, ignored paths, or budgets. The default scan is intentionally limited to common agent context files.
| Flag | Effect | |||
|---|---|---|---|---|
--json | Machine-readable JSON report on stdout | |||
--sarif | SARIF 2.1.0 on stdout | |||
--suggest | Include compression suggestions | |||
--stale | Find dead paths, commands, globs, and references | |||
--stale-glob | Include globs that match zero files | |||
--stale-fix | Print a deletion diff; never writes files | |||
| `--fail-on increase\ | budget\ | stale\ | never` | When to exit 1 (default: never) |
--baseline | Read baseline from a git ref (CI uses merge base automatically) | |||
--update-baseline | Write ctxcap-baseline.json and exit | |||
--config | Config file path (default: .ctxcap.json) | |||
--root | Working directory (default: .) | |||
--plan | Print a ranked context-budget edit plan | |||
--apply | Apply the generated plan atomically | |||
--verify | Verify a saved plan and preserve spans | |||
--budget | Target budget for --plan |
Exit codes: 0 clean, 1 breach under --fail-on, 2 internal error.
.ctxcap.json — all fields optional:
{
"include": ["AGENTS.md", "prompts/", ".cursor/rules/"], "ignore": ["prompts/archive/**"], "budgets": { "total": 40000, "AGENTS.md": 500, "prompts/system.md": 8000 }, "failOn": "budget" }
Defaults (when no config exists): scans CLAUDE.md, AGENTS.md, .github/copilot-instructions.md, prompts/**, *.prompt, .cursor/rules/**.
permissions:
contents: read pull-requests: write security-events: write # for SARIF upload; drop if you set upload-sarif: false
steps:
Pinned form for reproducibility: uses: Naeha-S/ctxcap@v1.2.0
Inputs:
| Input | Default | Description | |||
|---|---|---|---|---|---|
fail-on | never | increase \ | budget \ | stale \ | never |
config | .ctxcap.json | Path to config file | |||
path | . | Root directory to lint | |||
comment | true | Post sticky PR comment | |||
upload-sarif | true | Upload SARIF to code scanning | |||
stale | false | Run the stale-reference pass | |||
stale-glob | false | Include zero-match globs |
What you get on every run:
When the token can write (non-fork PRs):
With plain pull_request, fork PRs get a read-only token: annotations and job summary only. For the full experience on forks, use pull_request_target as shown in examples/pull-request-target.yml.
Code scanning requires GitHub Advanced Security on private repos; SARIF upload silently no-ops without it.
Run the MCP server directly — no config needed:
npx -y ctxcap-mcp
Configure in your MCP client:
{
"mcpServers": { "ctxcap": { "command": "npx", "args": ["-y", "ctxcap-mcp"] } } }
The same stdio command works with Claude Code, Codex, and Cursor. See the MCP package guide for client-specific setup. The server reads the MCP client's current working directory and makes no network calls. Registry metadata is prepared in server.json; publication is manual and intentionally not performed by this repository workflow.
Tools exposed:
| Tool | Description |
|---|---|
measure_context | Returns the full JSON report for the current working directory |
context_budget_plan | Returns a deterministic ranked splice plan with safety classifications and preserve spans |
context_budget_verify | Reports missed edits and preserve-span violations after applying a plan |
trim_to_budget | Deprecated alias for context_budget_plan; always returns apply: false |
The agent loop is also available as the five-line llms.txt contract. The standalone MCP wrapper keeps plan verification in the same server process; the CLI persists plans under .ctxcap/plans/.
{
"schema": "ctxcap/v1", "approximate": true, "tokenizer": "gpt-tokenizer@3.0.1", "total": 1247, "totalBudget": 40000, "delta": +82, "over": false, "baselineFound": true, "files": [ { "path": "AGENTS.md", "tokens": 420, "delta": +12, "budget": 500 } ], "suggestions": [] }
Full report schema: schema/report.schema.json. Plan schema: schema/plan.schema.json. Plan responses include ranked plan entries, preserve spans, and a diff summary.
Counts, tokensFreed, and confidence use heuristics and are approximate against Claude and Gemini (±5% for token counts). Every report carries "approximate": true and the tokenizer ID. Compare deltas, not absolutes; review the plan before applying it.
| Package | Description |
|---|---|
ctxcap | CLI + GitHub Action + embedded MCP server |
ctxcap-mcp | Standalone MCP server wrapper (thin bin, pulls ctxcap as a dep) |
The packages are published on npm:
npm view ctxcap version # 1.2.0
npm view ctxcap-mcp version # 0.1.2
Share the npm packages, the GitHub repository, or the pinned GitHub Action:
npx -y ctxcap@1.2.0npx -y ctxcap-mcp@0.1.2Naeha-S/ctxcap@v1.2.0For a release post, show a real before/after from another repository, include the plan and verification loop, and link to the cold-install results. Ask early users to report false positives from their context-file layouts.
MIT.