ContextStream MCP Server
Resumen
Descripción del creador (original en inglés)
The context platform for AI agents: code search, team decisions, and grounded project context.
Los tres pilares de PopNx MCP
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
- Opinión de usuariosiAún no hay reseñasLas reseñas se abrirán junto con las cuentas en una etapa posterior
- Nuestras revisiones básicasi3 de 3 superadasRevisado con información pública; el código aún no se ha escaneado
- UsoiEn crecimiento↓ 6,3 mil/sem · ★ –
Qué puedes hacer con él
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
- Conexión: Computadora o nube
- Transporte: stdio, Streamable HTTP
- Categoría: Búsqueda y memoria de IA
- Debes completar: CONTEXTSTREAM_API_KEY
Instalación
Elige la app de IA que usas y copia la configuración.
Antes de instalar
- Revisiones básicas: 3 de 3 superadas
- Se ejecuta en el servidor del creador: lo que le pidas pasa por su servidor.
- Debes completar tú:
CONTEXTSTREAM_API_KEY,CONTEXTSTREAM_API_URL
Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
- Se ejecuta en la nubeNo hay nada que instalar; se conecta por internet
- npmNode.js instalado (para el comando npx)
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
- Abre Settings → Connectors
- Presiona Add custom connector
- Pega la dirección de abajo y presiona Add
- Si te pide iniciar sesión, inicia sesión en el servicio del creador
https://mcp.contextstream.io/mcpO ejecútalo en tu computadora
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"contextstream": {
"command": "npx",
"args": [
"-y",
"@contextstream/mcp-server"
],
"env": {
"CONTEXTSTREAM_API_KEY": "your-value",
"CONTEXTSTREAM_API_URL": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add --transport http contextstream https://mcp.contextstream.io/mcpO ejecútalo en tu computadora
claude mcp add contextstream --env CONTEXTSTREAM_API_KEY=your-value --env CONTEXTSTREAM_API_URL=your-value -- npx -y @contextstream/mcp-serverCompleta los valores vacíos antes de ejecutarlo.
O copia la configuración tú
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"contextstream": {
"url": "https://mcp.contextstream.io/mcp"
}
}
}O ejecútalo en tu computadora
O copia la configuración tú
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"contextstream": {
"command": "npx",
"args": [
"-y",
"@contextstream/mcp-server"
],
"env": {
"CONTEXTSTREAM_API_KEY": "your-value",
"CONTEXTSTREAM_API_URL": "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.
O copia la configuración tú
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"contextstream": {
"type": "http",
"url": "https://mcp.contextstream.io/mcp"
}
}
}O ejecútalo en tu computadora
O copia la configuración tú
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"contextstream": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@contextstream/mcp-server"
],
"env": {
"CONTEXTSTREAM_API_KEY": "your-value",
"CONTEXTSTREAM_API_URL": "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.
ChatGPT solo se conecta a servidores en internet:
- Abre ChatGPT en la web → Settings → Connectors (Apps)
- Presiona Create o Add (en algunos planes primero hay que activar Developer mode en Advanced)
- Pega la dirección de abajo, ponle un nombre y guarda
- Si te pide iniciar sesión, inicia sesión en el servicio del creador
https://mcp.contextstream.io/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Valores que debes completar
- ContextStream API key
CONTEXTSTREAM_API_URLenvContextStream API base URL
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Qué puede hacer
El servidor pide iniciar sesión antes de mostrar sus herramientas.
Revisiones básicasi
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
- ✓ Superada
El creador coincide con el repo
El nombre en el registro se verificó con la cuenta de GitHub contextstream, dueña del repo
- … Aún sin revisar
Sigue en mantenimiento
Todavía no hemos leído este repo en GitHub
- … Aún sin revisar
Tiene licencia
Todavía no hemos leído este repo en GitHub
- ✓ Superada
El endpoint responde
Respondió en 214 ms (HTTP 401)
- ✓ Superada
Inicio de sesión con OAuth
Declara inicio de sesión con OAuth, así que tu app de IA puede llevarte a iniciar sesión
- … Aún sin revisar
Sin instrucciones ocultas en las descripciones de herramientas
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con otros en Búsqueda y memoria de IAi
- Más estrellas que el 0% de los otros 5714 servidores de esta categoría
- Publicado en el registro más recientemente que el 98% de los otros 5714 servidores de esta categoría
- Revisiones básicas iguales o mejores que el 100% de los otros 5714 servidores de esta categoría
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Preguntas frecuentes
¿Es seguro ContextStream MCP Server?
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.
¿Qué claves o códigos necesita?
Debes completar: CONTEXTSTREAM_API_KEY
¿Se ejecuta en mi computadora o en la nube?
Funciona de las dos formas: instálalo en tu computadora o conéctate a la versión en la nube.
¿Sigue en mantenimiento?
El repo de GitHub cambió por última vez –, y la última versión (1.0.72) llegó al registro hoy.
¿Qué apps pueden usarlo?
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.
¿Qué puedo usar en su lugar?
En la misma categoría: Context7, Codebase Memory, Exa
Alternativas
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
README del creador
Abrir el README
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.
ContextStream MCP Server
The context platform for AI agents.
Your agent knows code. Give it the decisions behind yours.
Connect your code, docs, and conversations so your agents can find the right files, recall saved decisions, and build on past work across sessions and tools.
The numbers, their sources, and what they do not claim are under Benchmarks.
Start free with MCP
10,000 monthly credits. No credit card required.
Works with Claude Code, Cursor, Codex, GitHub Copilot, Gemini CLI, Qwen Code, Kimi Code, Muse Code, ZCode, Zed, and more MCP clients, on Claude, GPT, Gemini, Kimi, GLM, Qwen, and other models. Create your account or sign in during MCP onboarding. No separate website signup needed.
macOS and Linux
curl -fsSL https://contextstream.io/scripts/mcp.sh | bash
Windows PowerShell
irm https://contextstream.io/scripts/mcp.ps1 | iex
Paste the command into your terminal and follow onboarding to connect your project and supported editor. Restart your editor after setup.
What gets installed and indexed? · Supported clients · Setup guide · Prefer to start on the web?
Make the next session useful
Ask your connected agent:
Use ContextStream to find the files relevant to my next change. Cite the
sources and retrieve any saved project decisions that should guide the work.
Then ask it to save a real decision and its reason. Start a new session and retrieve that decision without explaining it again. Indexing supplies code context; it cannot recover every undocumented decision.
Benchmarks
Each benchmark runs through the production API, is registered before its results are read, and is published with its method, confidence interval, and losses.
| Benchmark | ContextStream | Compared with |
|---|---|---|
| LongMemEval-S, all 500 questions | 96.8% (484/500); 96.0% on the half held out from tuning | Above Mastra (94.87%) and supermemory (85.4%) on the same official GPT-4o judge. Level with agentmemory's self-reported 96.2%, which is inside our 95% interval |
| LoCoMo, all 1,540 questions | 95.7% (1474/1540); 95.8% held out; 97.8% on the audited answer key | Above every system in the EverMemOS paper's same-judge table: EverMemOS 93.05%, Zep 85.22%, MemOS 80.76%, MemU 66.67%, Mem0 64.20% |
| Code search, 177 judged developer queries | 98.77% best answer in the top 10; 100% a useful file in the top 10 | Embedding-only search 72.84% and ripgrep 42.59% on the same queries and judgments |
| Agent tasks, 8 tasks × 3 trials | 23/24 passed (96%); 9/9 on tasks that need team knowledge | 14/24 (58%) and 0/9 with the repository alone |
61 ms median server-side search time (127 ms p95) in the October 27 production run. End to end it was 223 ms, because the client ran in a different region from the one serving the workspace. Your latency depends on your distance from that region.
Competitor figures are as each vendor or the EverMemOS paper published them; we did not re-run them, and readers and judges differ across rows. The code-search baselines come from the August 1 run on the same queries. The agent-task result uses one repository and one agent model, so treat it as directional. Results, methodology, and limitations.
ContextStudio
For people ContextStream Create offers one-prompt making to, the server adds one tool, studio: ask for a film, a product explainer filmed from your connected product, an image, sound or music in plain words, and ContextStudio's producer plans the pieces from what your team knows (brand kit, docs, decisions, connected products). There are no models to pick.
- Brand work by name. Brand images (social sets in each network's size, ad sets, hero and product shots, posters and flyers with print PDFs, email headers, brand graphics) and brand sounds (sonic logos, music beds, loops, effect packs, voice-overs, podcast intros and outros): pass
form, withsizes(up to 6, such asinstagram-postorlinkedin-post) or avoice, and the plan keeps to it. - Plan, then price.
planreturns the pieces and one price ("up to N credits, likely about M") and spends nothing. Pass what your agent knows that the workspace may not (the diff it just made, release notes, the doc it has open) ascontext; the producer reads it next to the team's own context. - Your go-ahead.
makespends at most the plan's price, and only after you agree: a client that can ask you (MCP elicitation, or a statelessinput_requiredresult) asks you itself; otherwise the agent passes the price you accepted. - Following it.
statusreports each piece while it waits (withnotifications/progresswhere the call asks for them); a product film takes 13 to 21 minutes.resultshows images inline and links video and sound (signed links valid about 15 minutes), with each piece's placard. Brand work comes as files, each with its own link: every size as PNG, JPG and WebP with a ZIP of the set, a print PDF, or WAV and MP3 for the web with a broadcast master and stems, plus alt text, a caption and the checks it was held to. - Revising.
revisestarts from a made image or sound: avariation(more like it), arevision(it, changed as you say) or aresize(an image in newsizes). Alsostop,library,brandandproducts. - Email, where Create offers it. Campaigns sent through your team's own Resend account.
email_draftwrites one in your brand from a prompt ("announce our winter sale to customers") and sends nothing;email_audiences,email_campaigns,email_test(to your own address or Resend's test addresses),email_cancelandemail_report(a campaign's delivery, opens, clicks, bounces and complaints, or the workspace's trends).email_sendgoes only with your go: the client asks you when it can; otherwise the agent shows you the campaign and its recipient count and passes the count you agreed to.email_previewgives a link to share that shows the email in Gmail, Outlook and Apple Mail mockups (desktop, tablet and phone, light and dark, images on or off), with the inbox line and what to check.email_revisechanges a draft from plain words ("shorter subject") or sets its subject and preview line;email_duplicatemakes a draft copy.email_contactslists, adds (with where they agreed to hear from you) or unsubscribes contacts; erasing one can't be undone, so it is thedeletetool's (studio.email_contact_erase), after your go;email_unsubscribesshows the suppression list with why and when, and takes an address off it only with your go. Resend is connected in the studio, never through an agent: the tool refuses anything shaped like a Resend key. - Connector. The hosted path
/studioserves only this tool, for Claude.ai or ChatGPT connectors, with OAuth tokens bound to that resource (read:studio,write:studio).
Data controls
Scoped access. Traceable sources. Configurable capture. Indexing sends eligible source contents to ContextStream for hosted search. Transcript saving and local Git metadata capture are on by default and can be turned off. Review data handling and controls before connecting sensitive projects.
Other installation options and troubleshooting
npm (Node.js 20+)
npx -y @contextstream/mcp-server@latest setup
The npm launcher downloads the native Rust binary for your platform and verifies its SHA-256 checksum. Pin an exact package version for production automation.
Hosted MCP without a local process
For clients supporting Streamable HTTP and OAuth, the hosted endpoint is:
https://mcp.contextstream.io/mcp?default_context_mode=fast
Supported clients lists one-line add commands for Claude Code, Codex, Gemini CLI, Qwen Code, Copilot CLI, and Droid, and one-click install for VS Code. Use the MCP documentation for other clients and stdio alternatives. A hosted connection alone does not sync your local checkout.
Preview or diagnose setup
contextstream-mcp setup --dry-run
contextstream-mcp doctor contextstream-mcp doctor --repair
Scripted and CI setup
For automation, wrap the install in pipefail so it fails when the download fails, instead of reporting success after installing nothing:
bash -o pipefail -c 'curl -fsSL https://contextstream.io/scripts/mcp.sh | bash'
setup --yes reads the key from CONTEXTSTREAM_API_KEY or saved credentials, and needs --workspace-id when the account has more than one workspace:
export CONTEXTSTREAM_API_KEY=... # or: printf %s "$KEY" | contextstream-mcp configure --api-key-stdin
contextstream-mcp setup --yes --editors=claude --workspace-id= --project-path=.
Package Bouncer (opt-in)
A hook for Claude Code and Cursor that checks the packages an install command names against their public registry before the command runs. It covers npm, pnpm, yarn, bun, npx, pip, uv, uvx, pipx, poetry and cargo, including claude mcp add ... -- npx ....
- It denies a package the registry does not have, naming the popular package it looks like. An agent may have invented the name, and anyone can register it.
- It asks before a barely downloaded lookalike of a popular package.
- It allows everything else, including whenever a lookup fails or takes too long.
It skips projects and commands that use a private registry (.npmrc, pip.conf, uv or poetry sources, --registry, --index-url). CONTEXTSTREAM_PACKAGE_BOUNCER=off turns it off.
Claude Code: add this entry to PreToolUse in ~/.claude/settings.json, next to the hooks setup installed. update-hooks leaves it alone.
{ "matcher": "Bash", "hooks": [{ "type": "command", "command": "contextstream-mcp hook package-bouncer", "timeout": 8 }] }
Cursor (~/.cursor/hooks.json):
{ "version": 1, "hooks": { "beforeShellExecution": [{ "command": "contextstream-mcp hook package-bouncer" }] } }
Open source and contributing
This repository contains the MIT-licensed Rust MCP server, client, editor setup, and release tooling. The hosted backend is separate and is not included here. See the architecture, release integrity, and latest release.
cargo build --locked -p mcp-server --bin contextstream-mcp
cargo test --locked --workspace
Use the pinned Rust toolchain. For contribution checks and commit sign-off, read CONTRIBUTING.md. Report vulnerabilities using SECURITY.md. See LICENSE, NOTICE, and GOVERNANCE.md for licensing, trademarks, and project g
Solo se muestra el principio; lee el resto en el repo