Power your agent
URL ของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registryปุ่ม Claude ด้านบนจะเปิด Claude พร้อมกรอกชื่อและ URL ให้แล้ว คุณยังต้องยืนยันที่นั่นเอง
claude mcp add --transport http io.contextstream-mcp https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registryRun in a terminal.
{ "mcpServers": { "io.contextstream-mcp": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
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.
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 , on Claude, GPT, Gemini, Kimi, GLM, Qwen, and other models. Create your account or sign in during MCP onboarding. No separate website signup needed.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
เซิร์ฟเวอร์นี้จะให้คุณลงชื่อเข้าใช้ตอนเชื่อมต่อ เอเจนต์ของคุณจะจัดการขั้นตอนนี้ให้
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.
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.
95 ms median code search in our published benchmark. This is the measured successful-response median for the disclosed configuration, not a latency guarantee. See results, methodology, and limitations.
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.
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.
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.
contextstream-mcp setup --dry-run
contextstream-mcp doctor --scope=all --only-configured
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=<UUID> --project-path=.
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 governance.
Let humans be human.
Docs · Pricing · Integrations · Benchmarks
Deep project learning starts off for new accounts. Plain contextstream-mcp setup --yes
preserves your current choice. To review consent, run
contextstream-mcp configure --account-learning on and confirm on the signed-in
privacy page. To withdraw, run contextstream-mcp configure --account-learning off.
Agents cannot consent for you. Doctor and init show status only. See
data handling and controls.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
{ "mcpServers": { "io.contextstream-mcp": { "url": "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry", "headers": {} } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก http สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
ContextStream เข้าถึงได้ผ่าน HTTP
ตรวจสอบล่าสุดเมื่อ 2026-11-09 Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).