Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Web search and any page as LLM-ready Markdown for AI agents. Free keyless tier, no signup.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
CONTEXTFETCH_API_KEY, CONTEXTFETCH_API_BASE, x-api-keyLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"contextfetch": {
"command": "npx",
"args": [
"-y",
"@contextfetch/mcp"
],
"env": {
"CONTEXTFETCH_API_KEY": "your-value",
"CONTEXTFETCH_API_BASE": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http contextfetch https://api.contextfetch.dev/mcp --header 'x-api-key: your-value'claude mcp add contextfetch --env CONTEXTFETCH_API_KEY=your-value --env CONTEXTFETCH_API_BASE=your-value -- npx -y @contextfetch/mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"contextfetch": {
"url": "https://api.contextfetch.dev/mcp",
"headers": {
"x-api-key": "your-value"
}
}
}
}Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"contextfetch": {
"command": "npx",
"args": [
"-y",
"@contextfetch/mcp"
],
"env": {
"CONTEXTFETCH_API_KEY": "your-value",
"CONTEXTFETCH_API_BASE": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"contextfetch": {
"type": "http",
"url": "https://api.contextfetch.dev/mcp",
"headers": {
"x-api-key": "your-value"
}
}
}
}Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"contextfetch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@contextfetch/mcp"
],
"env": {
"CONTEXTFETCH_API_KEY": "your-value",
"CONTEXTFETCH_API_BASE": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Esta dirección necesita una clave en un header de la solicitud, y el menú para agregar conectores no puede ponerla. Usa Claude Code, Cursor o VS Code.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
CONTEXTFETCH_API_BASE envx-api-key secreto HTTP headerEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Nombres y descripciones de las herramientas tal como los informó el servidor el 7 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.
contextfetch_searchSearch the web and get LLM-ready Markdown. Each result has its title, URL and only the passages relevant to the query (cross-encoder pruned context), so it costs far fewer tokens than raw pages. Use for current events, documentation, APIs, research and fact checking.
contextfetch_extract_urlFetch a public web page (docs, articles, GitHub files, arXiv papers) as clean Markdown with tables preserved. Pass `query` to get only the passages relevant to it instead of the whole page.
contextfetch_find_similarFind pages similar to a given URL (alternatives, related docs, competing libraries), excluding the source domain. Returns titles, URLs and the most relevant passages as Markdown.
contextfetch_researchResearch a question in one call, server-side: runs up to 5 web searches (sub-queries) concurrently, dedupes the pages by URL, ranks them all against the question with a cross-encoder and returns one Markdown evidence pack with numbered [n] sources and their query-pruned passages,
contextfetch_deep_researchDeep research in one call, no LLM: a deep search of the question, its sub-topics (or your sub_queries) as searches of their own, and the pages its list and index results link to, returned as one cited report: summary, key facts, a section per sub-topic and the sources, every pass
contextfetch_answerAnswer a question with passages quoted verbatim from the web, never generated: searches, scores every passage of the top pages with a cross-encoder and returns the best ones with [n] citations to their sources. Use it for quick factual lookups; the quotes may not fully answer an
contextfetch_agentA finished answer to a question, written with [n] citations to live web sources: one deep search reads the top pages and an LLM (gpt-oss-120b) writes the answer from them only, saying what is missing rather than guessing; when the pages lack the answer it searches again with new
contextfetch_crawlCrawl one website from a start URL and get its pages as Markdown: same-site links only, up to `max_depth` hops (<= 3) and `limit` pages (<= 50). Pass `query` to rank the pages by relevance and return only their relevant passages. Costs $0.001 per page returned ($1 per 1,000).
contextfetch_mapList a website's URLs without fetching its pages: its sitemaps (from robots.txt, else /sitemap.xml) plus the start page's links, same site only, up to `limit` (<= 5,000). Use it to find the right pages before contextfetch_extract_url or contextfetch_crawl. Costs $0.001 ($1 per 1,
contextfetch_balanceShow the API key's balance in dollars, daily burn rate (7-day average) and auto top-up settings, including the last auto-reload error if a payment failed. Needs an API key (Authorization: Bearer); free.
contextfetch_auto_reloadTurn auto top-up on or off, or change it: when the balance drops below `threshold_usd`, the saved card adds `amount_usd`, up to `monthly_max_usd` per month. Needs an API key and a card saved at checkout. The monthly cap cannot be raised above $500 here.
contextfetch_get_free_keyGet a free ContextFetch API key (no signup, no payment) with a $2.50 starter balance, for when the keyless daily limit runs out. One key per network, ever: keep the key it returns and use it as `Authorization: Bearer `.
searchSearch the web. Returns {results: [{id, title, url}]} as JSON; pass an id to `fetch` for the page text.
fetchFetch the full text of a search result by its id (a URL). Returns {id, title, text, url, metadata} as JSON.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con el dominio contextfetch.dev (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Respondió en 201 ms (HTTP 200)
No hace falta iniciar sesión
Leímos 14 descripciones de herramientas y no encontramos instrucciones ocultas para la IA
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 3 de 3 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: CONTEXTFETCH_API_KEY, x-api-key
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
El repo de GitHub cambió por última vez –, y la última versión (1.1.0) llegó al registro hace 16 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Up-to-date docs for AI agents
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.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Web search and clean, LLM-ready Markdown for AI agents: $1 per 1,000 searches, and 25 a day free with no key and no signup.
claude mcp add contextfetch -- npx -y @contextfetch/mcp
That is the whole setup for Claude Code. Then ask your agent something that needs the web:
Search for how Postgres SKIP LOCKED works for job queues
contextfetch_search returns each page as Markdown, cut down to the passages that answer the query:
## 1. PostgreSQL Job Queues with SKIP LOCKED | CodeNotes
https://codenotes.tech/blog/postgresql-job-queues-with-skip-locked · score 1.000
FOR UPDATE SKIP LOCKED is useful because it lets many workers claim different rows without blocking on rows another worker has already locked. But it is only the claiming primitive. A production queue also needs the right schema, indexes, retry policy, stuck-job recovery, cleanup, monitoring, and replay-safe handlers. ...
11 tools: search, page to Markdown, find similar, research, answer, crawl, site map, balance, free key and auto top-up. Exa- and Tavily-compatible API underneath, at contextfetch.dev.
Claude Code (one line, keyless):
claude mcp add contextfetch -- npx -y @contextfetch/mcp
With a paid key:
claude mcp add contextfetch -e CONTEXTFETCH_API_KEY=your_key -- npx -y @contextfetch/mcp
Cursor: add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
{
"mcpServers": { "contextfetch": { "command": "npx", "args": ["-y", "@contextfetch/mcp"], "env": { "CONTEXTFETCH_API_KEY": "your_key" } } } }
Windsurf: add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "contextfetch": { "command": "npx", "args": ["-y", "@contextfetch/mcp"], "env": { "CONTEXTFETCH_API_KEY": "your_key" } } } }
To use the free tier, drop the env block (or leave CONTEXTFETCH_API_KEY empty). The same JSON works in Claude Desktop's claude_desktop_config.json and in any other MCP client that launches stdio servers.
Requires Node.js 18 or newer.
| Tool | Arguments | What it does | Cost |
|---|---|---|---|
contextfetch_search | query, num_results (1-25, default 5), include_domains?, exclude_domains? | Web search. Each result comes back as title, URL and only the passages relevant to your query (cross-encoder pruned Markdown). | $1 per 1,000 |
contextfetch_extract_url | url, query? | Any public page (docs, articles, GitHub files, arXiv) as clean Markdown with tables kept. With query, returns only the relevant passages. | $1 per 1,000 |
contextfetch_find_similar | url, num_results (1-25, default 5) | Pages similar to a URL, excluding its own domain. | $1 per 1,000 |
contextfetch_research | query, sub_queries? (up to 5), num_results_per_query (1-10, default 5) | Server-side research: runs the sub-queries concurrently, dedupes pages by URL, ranks them all against query with the cross-encoder and returns one Markdown evidence pack (numbered [n] sources with their query-pruned passages, quoted verbatim; nothing generated), headed by the sub-queries, source count, tokens and credits used. | $1 per 1,000 sub-queries (max 5) |
contextfetch_deep_research | query, sub_queries? (up to 3), num_results_per_query (1-25, default 5; at most 10 used) | The earlier name of contextfetch_research, kept for existing setups: same server-side evidence pack, up to 3 sub-queries. | $1 per 1,000 sub-queries (max 3) |
contextfetch_answer | query, num_results (1-10, default 5) | Extractive answer: the best-scoring passages of the top pages, quoted verbatim with [n] markers and a numbered source list. No text is generated, so it suits factual lookups more than open-ended questions. | $1 per 1,000 |
contextfetch_crawl | url, max_depth (0-3, default 1), limit (1-50, default 10), query?, include_paths?, exclude_paths? (regexes on the URL path) | Crawls one site from url (same-site links, robots.txt obeyed) and returns each page as Markdown with its depth. With query, pages are ranked by relevance and pruned to the relevant passages. | $1 per 1,000 pages |
contextfetch_map | url, limit (1-5,000, default 100), include_paths?, exclude_paths? | Lists a site's URLs from its sitemaps and the start page's links without fetching the pages. | $1 per 1,000 |
contextfetch_balance | none | Remaining credits, burn rate (credits/day over the last 7 days) and auto-reload settings, including the last auto-reload error if a payment failed. Needs CONTEXTFETCH_API_KEY. | free |
contextfetch_get_free_key | none | Claims the network's free API key (2,500 searches, one per network) and uses it for the rest of the session. Give it to your user to keep in CONTEXTFETCH_API_KEY. | free |
contextfetch_auto_reload | enabled, threshold? (100-100,000), pack? (instant, builder, scale), monthly_max_usd? (max 500) | Turns auto-reload on or off or changes it: when credits drop below threshold, the card saved at checkout buys pack again, up to the monthly cap. Needs CONTEXTFETCH_API_KEY and a saved card. The cap cannot go above $500 here. | free |
All tools return Markdown text. Without a key, contextfetch_balance and contextfetch_auto_reload return a short message saying they need one, with the buy link. On the free tier, results start with a one-line notice showing how many free searches are left today. When the API reports them, a closing line shows latency (total and per stage: recall, fetch, rerank), whether the answer came from cache, and token savings (pruned tokens vs raw page tokens).
contextfetch_research sub-queriesPass your own sub_queries (different angles on the question); the tool description tells the calling model to do so. If you omit them, the API derives them from query with fixed rules:
documentation;benchmark when it mentions speed, performance, latency, memory or a comparison (vs, compare), otherwise the query + example.A suffix the query already contains is skipped (so react useActionState example runs 2 searches, not 3). The whole research runs server-side in one /v1/research call that costs $1 per 1,000 sub-queries; a sub-query that fails is refunded and named in the header. If all fail, the tool returns the error.
| Variable | Default | Meaning |
|---|---|---|
CONTEXTFETCH_API_KEY | unset | Your API key. Unset or empty uses the free keyless tier. |
CONTEXTFETCH_API_BASE | https://api.contextfetch.dev | API base URL. Point it at your own engine if you self-host. |
| Price | |
|---|---|
| No key | 25 searches a day per network, no signup |
Free key (contextfetch_get_free_key) | 2,500 searches, one per network, no card |
| Search, page to Markdown, answer, find similar, map | $1 per 1,000 |
| Crawl | $1 per 1,000 pages returned |
| Research | $1 per 1,000 sub-queries |
Pay as you go: top up from $10 (+10% from $100, +20% from $500). The balance never expires and one balance covers all your keys. Monthly plans and per-key limits are in the dashboard at contextfetch.dev/account.
When the balance or the free tier runs out (HTTP 402), the tool returns a one-click top-up link (Stripe: card, Apple Pay, Google Pay) and a line to pass on to your user. Then set CONTEXTFETCH_API_KEY as shown above.
Connection failures before the request is sent (refused, DNS, connect timeout), HTTP 429 and HTTP 5xx are retried with exponential backoff and jitter (about 0.25-0.5 s, then 0.5-1 s), at most 3 attempts per API call and 30 seconds in total, retries included. A 429 or 5xx with a Retry-After header waits exactly that long, unless that would pass the 30 second budget. 400, 401, 402, 422 and other 4xx responses are never retried. A connection that drops after the request was sent is not retried either, since the search may already have been billed. Connections are pooled and kept alive by Node's built-in fetch (undici), so there is no extra HTTP dependency.
Errors never crash the server; they come back as tool results with isError: true and a plain explanation: invalid key (401), out of credits or free limit reached (402, lists the packs with their buy links), no saved card for auto-reload (409, with the buy link), URL not allowed (400, only public http(s) URLs), a page contextfetch_extract_url could not fetch (with the reason, such as HTTP 404), rate limited (429), server errors (5xx), network failures, and a 30 second limit per call (retries included).
npm install
npm run build # compiles src/ to dist/ and marks dist/index.js executable npm test # builds, then drives dist/index.js over stdio against a local mock API (no network) CONTEXTFETCH_API_BASE=http://localhost:8000 node dist/index.js
Publishing @contextfetch/mcp needs the npm organization contextfetch (create it at npmjs.com and add the publishing account as a member). Then npm publish from this folder; publishConfig.access is already public and prepublishOnly builds first.
MIT