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Prelude

by adjective-robversion 1.11.0i★ –iRuns on your computer
Registry nameio.github.adjective-rob/prelude

Install

Overview

Description from the maker (original English)

Committed, machine-readable codebase context and code map that tells agents where to look.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "prelude": {
      "command": "npx",
      "args": [
        "-y",
        "prelude-context",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add prelude -- npx -y prelude-context serve

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "prelude": {
      "command": "npx",
      "args": [
        "-y",
        "prelude-context",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "prelude": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "prelude-context",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account adjective-rob, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1391 servers in this category
  • Published to the registry more recently than 61% of the other 1391 servers in this category
  • Basic checks equal to or better than 100% of the other 1391 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Prelude safe?

It passed 1 of 1 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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.11.0) reached the registry 33 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

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GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

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README from the maker

Open the README

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.

Prelude

Project memory and a code map for AI agents: where to look, why the code is the way it is, and what a change will touch.

An agent with grep can find where a word appears. It cannot find out why the code is shaped the way it is, which tests cover a file, how many other files depend on it, or what the last session learned. That knowledge isn't in the source.

Prelude keeps it in the repo. It scans the project once and writes a small set of JSON files to .context/: the stack, the architecture, the constraints, the decisions, and a code map of every module, its exports, and what imports what. You commit those files, and agents add to them as they work. Every later session starts from them, through an MCP server, a generated CLAUDE.md / AGENTS.md, or plain stdout.

No embeddings, no server to host, no network calls. Regex heuristics over TypeScript/JavaScript, Python, Go, and Rust.

Quick start

cd your-project

npx prelude-context init # writes .context/

Or install it, which gives you the prelude command used in the rest of this README:

npm install -g prelude-context

prelude init

Then give it a task phrase:

prelude locate preserve manual edits during update --limit 2
1. src/core/merger.ts  ·  src/core (Core business logic)  ·  score 32

exports: MergeResult, MergeChange, ContextMerger, trackMapFields why: decision: Manual edits are sacred, content preserve×25, manual×31, edit×9, update×6, matches all terms impact: imported by 4 files · tests: tests/map-merge.test.ts, tests/mcp-server.test.ts, tests/merge-preserve.test.ts decisions: Manual edits are sacred

  1. src/core/state-manager.ts · src/core (Core business logic) · score 26 exports: StateManager why: decision: Manual edits are sacred, content manual×9, edit×4, update×6, matches all terms impact: imported by 7 files · tests: tests/map-merge.test.ts, tests/mcp-server.test.ts, tests/merge-preserve.test.ts decisions: Manual edits are sacred

One call returns the files to read, why each was picked, what depends on them, the tests to run afterwards, and the recorded decision that constrains the change. That is real output from this repository, which keeps its own .context/ committed. Browse it to see what Prelude writes.

Requires Node.js >= 20.19.

What you get

your-project/

└── .context/ ├── project.json what the project is ├── stack.json language, runtime, frameworks, tooling ├── architecture.json type, patterns, directories, entry points, routes ├── constraints.json rules and preferences ├── decisions.json architecture decisions and their rationale ├── map.json modules, exports, import graph, hub files ├── changelog.md project timeline └── .prelude/ state: which fields were inferred, which you edited

Commit .context/. Gitignore .context/*.session.json.

prelude compact prints the whole thing as one dense line per section, sized for a system prompt (a few hundred tokens for this repo):

[project] prelude-context | The open standard for expressing and maintaining machine-readable context about a codebase

[stack] TypeScript/JavaScript Node.js >=20.19.0 | pnpm | testing: Vitest [arch] type=cli | patterns: Utility modules | entry: bin/prelude.ts | dirs: bin (Executable entry points), src/commands (Command handlers), src/core (Core business logic), src/mcp (MCP server), ... [decisions] Manual edits are sacred (accepted); Regex heuristics, not AST parsers (accepted); Schemas are the contract (accepted); ... [map] hubs: src/utils/fs.ts(25), src/runtime/context.ts(20), src/schema/index.ts(18), ... | src/core (Core business logic): state-manager.ts, infer.ts, map-scanner.ts +15 | ...

What grep can't tell an agent

QuestionWhere Prelude gets the answer
Why is this code the way it is?decisions.json: decisions and rationale, recorded by you or by an agent with prelude_record_decision
What depends on this file?map.json: the resolved import graph, importer counts, hub files
Which tests cover it?map.json: the test files that import it
What did the last session learn about this module?Module notes, written with prelude annotate or prelude_annotate_module and never overwritten
What must I not do here?constraints.json
How does this repo talk to that one?relatedProjects in project.json, served across repos in workspace mode

prelude locate attaches the first four to every file it returns. On a freshly initialised project the decisions and notes are empty; the import graph and tests are there from the first run, and the rest accumulates as people and agents record it.

How well does locate find files?

bench/locate-bench.ts replays a repository's git history: each commit subject is a query, the files that commit changed are the answer, and the repo is checked out at the parent commit so nothing sees the change itself. The baseline is a grep for each query term over the same files, ranked by distinct terms matched. Share of queries with a correct file in the top 8:

RepoSource filesRanked grepprelude locate
cobra (Go)3795%96%
flask (Python)8283%86%
hono (TypeScript)36188%97%
ripgrep (Rust)10064%79%
typer (Python)62976%74%
express (JavaScript)14787%90%
Average82%87%

The top result is correct 48% of the time, against 39% for grep. Up to 100 commits per repo. The scoring weights were chosen using these same six repositories, so treat the numbers as in-sample; run the script on your own repo to check (see CONTRIBUTING.md). File-finding is the baseline here, not the point: the table above is.

Why not just write a CLAUDE.md or AGENTS.md?

Keep them. Prelude generates both (prelude export --format claude-md, --format agents-md) and can bootstrap from one you already have (prelude init --from-claude-md). The difference is what sits underneath:

  • It doesn't rot silently. A hand-written context file is correct on the day it is written. prelude diff --check exits 1 when the committed context no longer matches the code, so CI catches the drift.
  • It is structured. JSON with a published schema, so tools can query one section, one directory, or one module instead of loading a whole markdown file.
  • It answers "where" and "what else". prelude locate turns a task phrase into a short list of files with the reason each was picked, the tests that cover it, and the decisions that apply. A prose file can't do that.
  • Your edits survive. Prelude tracks which fields it inferred and which you wrote. prelude update refreshes the first kind and never touches the second.
  • It spans projects. Register several repos once and a single MCP server answers for all of them, including how they relate.
  • It isn't tied to one tool. The same files feed Claude Code, Cursor, Codex, Claude Desktop, or anything that reads JSON.
How it relates to other approaches
  • In-session repo maps (Aider's, for example) are computed when the session starts and discarded when it ends. Prelude's map is a file: diffable in a pull request, correctable by hand, shared by the whole team.
  • Hosted code search and indexing services are more powerful retrieval, and they are a service to run or pay for. Prelude is static files and a local CLI.
  • Embedding-based retrieval finds semantic matches that Prelude's term matching will miss. Prelude's results are deterministic and explain themselves, and they cost nothing to produce.

Use it from an agent (MCP)

Prelude runs as an MCP server over stdio.

One project

From a project that has a .context/ directory, register the server with Claude Code:

claude mcp add prelude-context -- npx -y prelude-context serve

For any other client, the server command is npx -y prelude-context serve --root /path/to/project:

{

"mcpServers": { "prelude-context": { "command": "npx", "args": ["-y", "prelude-context", "serve", "--root", "/path/to/project"] } } }

prelude mcp-config --client claude-code | cursor | codex | claude-desktop prints the exact snippet for your machine and client. The read tools are annotated read-only, so clients that honour tool annotations can run them without asking.

ToolWhat the agent gets
prelude_compactThe token-budgeted overview (about 800 tokens by default), including the [map] line
prelude_locateThe files most relevant to a task phrase, each with reasons, importer count, covering tests, applicable decisions, and notes
prelude_mapHubs and modules, one module in detail, or one file's exports and importers
prelude_queryContext filtered by topic, directory scope, or type
prelude_record_decisionAppends a decision to decisions.json so later sessions inherit it
prelude_annotate_moduleCorrects a module's purpose or adds notes in map.json; never overwritten by update
prelude_statusWhich context files exist

Resources: prelude://context/full, prelude://context/compact, prelude://context/map, and prelude://context/{type} for a single file.

Every project on the machine

Register each codebase once, register Prelude once in your agent harness, and every session can see all of your projects: what each one is, how they relate, and where to look inside any of them.

# once per repo

cd ~/code/backend && prelude init && prelude workspace add . cd ~/code/frontend && prelude init && prelude workspace add .

once per machine

prelude mcp-config --workspace --client claude-code

prints: claude mcp add --scope user prelude -- prelude serve --workspace

In workspace mode every tool takes an optional project, and three more tools appear:

Agent callWhat it gets back
prelude_projectsOne block per project: purpose, stack, entry points, API surface, hub files, related projects
prelude_locate(query="billing checkout")Searches every project when project is omitted
prelude_link_projects(from="frontend", to="backend", relation="consumes", contract="REST /api/v1, JWT bearer")Records the relationship in frontend's project.json
prelude_workspace_refreshRebuilds the workspace index

prelude workspace list | index | status | remove manage the registry at ~/.prelude/ (override with PRELUDE_HOME).

Keep it honest in CI

The GitHub Action has two modes. Guard (check: "true") runs prelude diff --check and fails the job when the committed .context/ has drifted from the code. Update (the default) runs prelude update and opens a pull request when .context/ changed. Use both: guard pull requests, update on main.

# .github/workflows/prelude.yml

name: Prelude Context on: pull_request: push: branches: [main] paths: [package.json, pyproject.toml, Cargo.toml, go.mod, "src/**"]

jobs: check: if: github.event_name == 'pull_request' runs-on: ubuntu-latest steps:

  • uses: actions/c

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