Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Indexes your project's markdown docs and serves them to any agent via local hybrid search.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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": {
"compendio": {
"command": "npx",
"args": [
"-y",
"compendio-mcp",
"serve"
]
}
}
}Run this in your terminal
claude mcp add compendio -- npx -y compendio-mcp servePaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"compendio": {
"command": "npx",
"args": [
"-y",
"compendio-mcp",
"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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"compendio": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"compendio-mcp",
"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.
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
The registry name was verified with the GitHub account RuloGB, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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.
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.
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 –, and the latest version (1.7.2) reached the registry 2 months ago.
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: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
Your project's documentation, served to any agent in the fewest possible tokens.
A local RAG retrieval layer exposed as an MCP server. Your agent stops grepping and dumping whole files — it reaches the right paragraph instead.
What it does • Requirements • Quick Start • Configuration • MCP Tools • CLI • How it works • Incremental sync • Multilingual • Full docs
Your agent doesn't know your documentation. So it does what it can: grep, then cat a 400-line file to answer a question that lived in one paragraph. Three files later the context window is full of noise and the answer is still a guess.
Attaching the whole docs/ folder doesn't fix it — it just moves the waste earlier. Neither does keyword search: nobody writes questions using the exact words the document uses.
Same question, same model, and both answers are correct — the difference is what it cost to get there.
6 tool calls • 29s • 32,301 tokens → 2 tool calls • 12s • 17,684 tokens .
Figures read from OpenCode's own elapsed label and cost tooltip, on an 81-document corpus.
Compendio indexes your markdown documentation and gives any AI agent three tools to find and read exactly what it needs.
.md files. No required frontmatter, no config file. An optional documentation convention is there if your team already has a taxonomy to enforce.1. Install it.
npm install -g compendio-mcp
To update an existing installation:
compendio update
2. Register it as an MCP server in your client:
compendio install-mcp <agent>
Supported agents: claude, claude-desktop, cursor, vscode, opencode, codex, zed.
For manual installation or agents not supported by this command (Windsurf, Cline, Gemini CLI), see Manual Installation.
3. Build the index once, from the project root:
compendio index
That's it. With no config file, Compendio auto-discovers top-level folders that contain Markdown files — no hidden docs/ default needed. Add .compendio/ to your .gitignore.
Why this step exists. The server also indexes on startup, so strictly speaking you could skip it — but the first run downloads and caches the embeddings model (tens of MB), and whoever triggers it waits. Running it here pays that cost in your terminal, with a progress bar, instead of inside your agent's first tool call. From then on everything is offline, and the index keeps itself up to date (below).
Windows note. Some MCP clients can't spawn the
compendio.cmdshim directly. If the server fails to start withENOENT, use"command": "npx"with"args": ["compendio-mcp", "serve"].
Entirely optional — Compendio works with no config file at all. Create compendio.config.json at your project root only to override what you need:
{
"docsDir": ["docs"], "exclude": ["INDEX.md"], "db": ".compendio/compendio.db", "embeddings": { "provider": "local", "model": "Xenova/multilingual-e5-small" }, "chunk": { "minTokens": 100, "maxTokens": 480 }, "search": { "k": 5 }, "sync": { "throttleMs": 30000 }, "convention": { "mode": "loose", "excludedStatuses": [], "frontmatterFields": { "type": "type", "module": "module", "status": "status" } } }
| Key | What it's for |
|---|---|
docsDir | One or more explicit documentation roots, relative to the project root. Always an array — there is no single-string form. Omit it or set [] to use discovery mode |
exclude | Entries to skip when indexing: an exact path, a bare filename (matched anywhere), or a directory prefix (e.g. "adr/superseded" skips everything under it) |
db | Where the SQLite index file is written |
search.k | Default number of fragments returned per search |
chunk | Fragment size bounds, in tokens |
sync.throttleMs | Minimum time between automatic sync passes, in ms (30000 = 30 s). A floor, not a timer — gates only serve's automatic triggers, not a manually-run compendio sync — see Incremental sync |
convention | Optional documentation taxonomy — see below |
Declaring only part of the convention block merges with the defaults field by field; it never wipes the siblings you didn't mention. frontmatterFields maps type/module/status onto non-standard frontmatter keys (e.g. { "status": "estado" } reads a Spanish document's estado: field as status).
Every numeric key (search.k, chunk.minTokens, chunk.maxTokens, sync.throttleMs) is honored only when it is a finite number greater than 0 — search.k must additionally be a whole number. Anything else, including a quoted number like "480", falls back to the default exactly as an absent key would, and the fallback is reported: on stderr for every CLI command, and in docs_overview's response for an MCP client. An unrecognized key under embeddings, chunk or convention.frontmatterFields (a typo such as maxtokens) is reported the same way. A config with nothing wrong reports nothing.
Declare more than one root to index several folders — adr/, rfcs/, a spec directory — as one searchable corpus:
{ "docsDir": ["docs", "openspec"], "exclude": ["INDEX.md", "openspec/changes/archive"] }
Every document path is prefixed with its root's alias — the directory's own name, so docs/x.md and openspec/specs/y.md both read as the real project-relative path. This holds with a single explicit root and with discovered roots too: openspec/specs/y.md, not specs/y.md. search_docs, docs_overview, read_doc and the generated INDEX.md all use this prefixed shape; passing a path back to read_doc exactly as returned always resolves.
Declared roots may not collide: two roots resolving to the same directory, one nested inside another (in either declaration order), or two roots sharing the same directory name (and therefore the same alias) are all rejected before anything is indexed. A root that is declared but cannot be read (a typo, or a folder only some checkouts have) is reported and skipped — the run continues on the remaining roots, and only throws if every declared root fails. Removing a root from docsDir deletes its documents on the next sync pass, same as deleting the files themselves would.
In discovery mode, Compendio rescans top-level folders on every index, sync, and serve sync pass, selects those with .md files anywhere below them, skips symlinked content and generated/internal folders such as .git, .compendio, node_modules, dist, build, and coverage, and writes INDEX.md at the project root. Discovery fails closed: malformed top-level config JSON, unreadable candidate trees, traversal/read failures, or a previously indexed discovered root that disappears or becomes a symlink/junction before sync abort before mutating the index. A previously indexed root that is still a readable directory is still traversed even after its last Markdown file is deleted, so legitimate deletions are reconciled normally. The symlink checks use lstat/realpath at scan/traversal time, but they are not a kernel-level sandbox; a filesystem race between check and read remains out of scope. --dir (below) is explicit mode: it replaces the whole declared/discovered root set with that one directory and writes INDEX.md inside it.
Spec-driven development frameworks keep their planning artifacts in Markdown, which is exactly what Compendio indexes. Point docsDir at the folders your framework writes to:
| Framework | Config | Indexes |
|---|---|---|
| Spec Kit | { "docsDir": ["specs", ".specify"] } | Feature specs, plans and tasks under specs/NNN-feature/, plus the constitution at .specify/memory/constitution.md |
| OpenSpec | { "docsDir": ["openspec"] } | openspec/project.md, capability specs and in-flight changes |
| Kiro | { "docsDir": [".kiro"] } | requirements.md/design.md/tasks.md per feature under .kiro/specs/, plus .kiro/steering/ |
| BMAD | { "docsDir": ["docs"] } | PRD, architecture, sharded epics and stories |
| Framework + your own docs | { "docsDir": ["docs", "openspec"] } | Both, as one searchable corpus |
Hidden directories such as .specify/ and .kiro/ are indexed normally, both as declared roots and in discovery mode — dot-prefixed *entries inside* a root are what gets skipped, not the root itself. So with no config file at all, a Spec Kit or Kiro project already indexes.
Three things worth knowing before you copy a line:
.kiro/specs is aliased specs, so its documents come back as specs/auth/design.md. That also means it collides with a top-level specs/ root andOnly the beginning is shown; read the rest in the repo