Is io.github.contextstreamio/mcp-server safe to use?

io.github.contextstreamio/mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install io.github.contextstreamio/mcp-server?

io.github.contextstreamio/mcp-server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.contextstreamio/mcp-server do?

io.github.contextstreamio/mcp-server provides 9 tools: init, context, search, session, memory and 4 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.contextstreamio/mcp-server?

io.github.contextstreamio/mcp-server is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is io.github.contextstreamio/mcp-server actively maintained?

io.github.contextstreamio/mcp-server is actively maintained — last commit was 5 days ago. It has 39 GitHub stars.

io.github.contextstreamio/mcp-server

@contextstream/mcp-server

ContextStream MCP server for code context, memory, search, and AI tools.

39 405/wk 9 tools GitHub npm

No known CVEs

MIT license

Actively maintained

Last commit 5d ago

Works with most clients

Transport: stdio, http

9 tools · ~370 tok

Grade A · 0.2% of 200K ctx

MCPpedia last refreshed this data 18h ago

Edit this pageView history

io.github.contextstreamio/mcp-server is an MCP server that ContextStream MCP server for code context, memory, search, and AI tools. Its tool list has not been published yet over stdio and http, requires no API key, and scores 88/100 on MCPpedia's security, maintenance and efficiency rubric.

Developer Tools AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "contextstream": {
      "env": {
        "CONTEXTSTREAM_API_KEY": "your_key",
        "CONTEXTSTREAM_API_URL": "https://api.contextstream.io"
      },
      "args": [
        "--prefer-online",
        "-y",
        "@contextstream/mcp-server@latest"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-contextstreamio-mcp-server)](https://mcppedia.org/s/io-github-contextstreamio-mcp-server)

Read me

What io.github.contextstreamio/mcp-server does

npx --prefer-online -y @contextstream/mcp-server@latest setup

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@contextstream/mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

88/100across 5 weighted dimensions

How we score →

0255075100

−12

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @contextstream/mcp-server against OSV.dev.

Inventory

Tools (9)

Click any tool to inspect its schema.

~370 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.contextstreamio/mcp-server safe to use?: io.github.contextstreamio/mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install io.github.contextstreamio/mcp-server?: io.github.contextstreamio/mcp-server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.contextstreamio/mcp-server do?: io.github.contextstreamio/mcp-server provides 9 tools: init, context, search, session, memory and 4 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.contextstreamio/mcp-server?: io.github.contextstreamio/mcp-server is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.contextstreamio/mcp-server actively maintained?: io.github.contextstreamio/mcp-server is actively maintained — last commit was 5 days ago. It has 39 GitHub stars.

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Community

Discussion

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Developer Tools AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "contextstream": {
      "env": {
        "CONTEXTSTREAM_API_KEY": "your_key",
        "CONTEXTSTREAM_API_URL": "https://api.contextstream.io"
      },
      "args": [
        "--prefer-online",
        "-y",
        "@contextstream/mcp-server@latest"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-contextstreamio-mcp-server)](https://mcppedia.org/s/io-github-contextstreamio-mcp-server)

Read me

What io.github.contextstreamio/mcp-server does

npx --prefer-online -y @contextstream/mcp-server@latest setup

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@contextstream/mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

ContextStream MCP Server

Persistent memory, semantic code search, and team context for Claude Code, Cursor, VS Code Copilot, Windsurf — and every MCP-compatible AI coding assistant.

🏆 90.0% on LongMemEval-S — the full 500-instance suite with the official judge.
Beats supermemory with statistical significance; matches Zep. See the benchmarks →

Documentation • Pricing • FAQ

Try it in 30 seconds

npx --prefer-online -y @contextstream/mcp-server@latest setup

That one command detects your AI editors, writes their MCP configs and rules, installs lifecycle hooks where supported, indexes your project in the background, and verifies everything it just did — then you restart your editor and your AI has memory. Free tier available.

Automating it? Zero-prompt mode takes every default:

npx --prefer-online -y @contextstream/mcp-server@latest setup --yes

We win on memory benchmarks — measured honestly

ContextStream scores 90.0% on the full LongMemEval-S benchmark, the standard test of conversational memory over ~115k-token multi-session histories. That's the complete 500-instance suite with the official GPT-4o judge — 450/500 correct (89.6% single-shot, 90.0% with self-consistency k=3; Wilson 95% CI [87.1%, 92.3%]). Published June 14, 2026.

System	LongMemEval-S	Notes
ContextStream	90.0%	Full 500 instances, official GPT-4o judge
Zep	90.2%	Vendor-published — a statistical tie (0.2 pt is inside measurement noise)
supermemory	85.4%	Vendor-published — ContextStream wins with statistical significance

On multi-session recall — the memory that actually matters for a coding agent working across days of sessions — ContextStream scores 81.2% vs Zep's published 57.9% in the per-family comparison. And on the agentic project-memory benchmark, the same memory raises agent task success from 58% to 96%.

Full methodology, per-family breakdowns, and judge-comparability notes (competitor numbers are cited from each vendor's own publications): contextstream.io/benchmarks

What is ContextStream?

ContextStream is a Model Context Protocol (MCP) server that gives AI coding assistants long-term memory and deep codebase understanding. It indexes your code for semantic search, records your decisions, lessons, and plans across sessions, maps your dependency graph, and pulls in team knowledge from GitHub, Slack, and Notion — then delivers exactly the right slice of all that to your AI on every message.

It works with any MCP client: Claude Code, Cursor, VS Code + GitHub Copilot, Windsu

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

88/100across 5 weighted dimensions

How we score →

0255075100

−12

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @contextstream/mcp-server against OSV.dev.

Inventory

Tools (9)

Click any tool to inspect its schema.

~370 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.contextstreamio/mcp-server safe to use?: io.github.contextstreamio/mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install io.github.contextstreamio/mcp-server?: io.github.contextstreamio/mcp-server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.contextstreamio/mcp-server do?: io.github.contextstreamio/mcp-server provides 9 tools: init, context, search, session, memory and 4 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.contextstreamio/mcp-server?: io.github.contextstreamio/mcp-server is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.contextstreamio/mcp-server actively maintained?: io.github.contextstreamio/mcp-server is actively maintained — last commit was 5 days ago. It has 39 GitHub stars.