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Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 3:32:40 PM

MCP Server

User RatingsBe the first to rate and review this MCP server!
View Repository42 GitHub StarsTotal stargazers on GitHub for the source repository (42 stars).Visit Website
memorysemantic-searchcode-analysismcpsession-tracking

MCP server providing persistent memory, semantic code search, dependency graphs, and session tracking for AI coding assistants.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "contextstream-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@contextstream/mcp-server@latest"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (9) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This MCP server offers AI coding tools persistent memory and deep codebase understanding by indexing code for semantic search, tracking decisions, sessions, and plans, and mapping dependency graphs. It integrates team knowledge from sources like GitHub, Slack, and Notion, delivering relevant context to AI on each message. Use it to enhance AI coding assistants with long-term memory, multi-session recall, and grounded Q&A over your project knowledge base.

Use cases

•Enable semantic and keyword code search in AI coding assistants
•Track and recall decisions, lessons, and plans across coding sessions
•Analyze code dependencies, impact, and unused code
•Provide grounded Q&A with citations over project knowledge
•Create portable context snapshots for agent handoffs

Key features

•Semantic, hybrid, keyword, pattern, exhaustive, and refactor code search modes
•Memory management for events, decisions, docs, runbooks, tasks, todos, diagrams, transcripts
•Session capture and recall including retroactive capture and plans
•Graph analysis for dependencies, impact, circular dependencies, and unused code
•Entity tracking for tickets, incidents, releases, sprints, OKRs, risks
•Media indexing and search for images, video, audio, and documents

Capabilities & Tool Schemas (9) ~149 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server.

search

semantic, hybrid, keyword, pattern, exhaustive, refactor modes

memory

events, decisions, docs, runbooks, tasks, todos, diagrams, transcripts

session

capture decisions & lessons, recall past sessions, plans, retroactive capture

qa

grounded Q&A over your workspace knowledge base, with citations

graph

dependencies, impact analysis, circular deps, unused code

capsule

portable, shareable context snapshots for agent handoffs

Documentation Overview

ContextStream

ContextStream MCP Server

Intelligence without context is unreliable. Autonomy without context is chaos.
And context without trust becomes surveillance.

Give every coding agent persistent memory, semantic code search, and the right project context on every turn.

Works with Claude Code, Cursor, VS Code + Copilot, Windsurf, Cline, Roo Code, Kilo Code, Codex, OpenCode, Aider, Antigravity, and other MCP clients.

npm version latest release CI status MIT license

Install in 30 seconds · Benchmarks · Documentation · Start free


Your AI should not have to rediscover the repository, re-learn the architecture, or repeat last week's mistake every time a chat starts. ContextStream gives MCP clients a shared context layer that remembers decisions and lessons, searches code by meaning, maps dependencies, and restores the thread after compaction.

The server in this repository is the canonical, MIT-licensed Rust implementation. The recommended editor transport is the hosted MCP at https://mcp.contextstream.io/mcp; a small local helper keeps explicitly linked checkouts in sync.

Benchmarks: strong memory, strong retrieval, published methodology

We publish the full method, confidence intervals, comparison caveats, and known losses—not just the winning number. The product-level figures below are from the published July 2026 report; the LongMemEval-S result was published June 14, 2026.

BenchmarkContextStream resultWhat was measured
LongMemEval-S90.0%450/500 correct on the full suite; ~115k-token multi-session histories; official pinned GPT-4o judge; gpt-5.5 reader with self-consistency k=3 (89.6% single-shot); Wilson 95% CI [87.1%, 92.3%]
Pinned-repo code search99.38% Recall@1093.83% Primary@10 and 95 ms successful-response p50 over 177 judged-valid queries, averaged across two cold and two warm runs; 0/708 failed requests; no local checkout
Agentic project memory96% task successUp from 58% without the memory layer; one repository, one agent model, three trials per cell, so this result is directional

On the standard memory benchmark, 90.0% is statistically above supermemory's published 85.4% and statistically tied with Zep's published 90.2%. Those comparisons use each vendor's published result; they are not presented as a private same-run head-to-head.

Read the full benchmark report, methodology, per-category results, and losses →

The repository also includes Criterion suites for JSON-RPC parsing, tool dispatch, response serialization, and stdio/HTTP transport primitives. Run them locally with cargo bench --locked -p mcp-server.

Install in 30 seconds

Pick the command for your platform. Each installer downloads the current native release and launches the guided setup wizard.

macOS and Linux

Terminal
curl -fsSL https://contextstream.io/scripts/setup.sh | bash

Native releases are published for macOS Apple Silicon and Intel, plus Linux ARM64 and x64.

Windows PowerShell

powershell
irm https://contextstream.io/scripts/setup.ps1 | iex

The Windows installer uses the native x64 binary and installs it in your user profile, so it does not need an administrator shell.

npm alternative (Node.js 20+)

Terminal
npx -y @contextstream/mcp-server@latest setup

The dependency-free npm launcher selects the matching release artifact, verifies its SHA-256 checksum, caches it by exact package version, and starts the Rust binary. It supports macOS ARM64/x64, Linux ARM64/x64, and Windows x64.

What the wizard does

The wizard signs you in, detects supported editors, writes their hosted MCP configuration and managed rules, installs lifecycle hooks where supported, links the exact project folder you choose, starts indexing, and checks the result. You review the choices before it makes changes.

After setup, restart the editor and try:

Use ContextStream to summarize this repository, cite the files you relied on, and tell me one active decision or risk that should affect my next change.

Want to inspect the changes first? Every setup write can be previewed:

bash
contextstream-mcp setup --dry-run

Already configured and troubleshooting? Run:

bash
contextstream-mcp doctor --scope=all --only-configured

No-install hosted connection

If your MCP client supports Streamable HTTP and OAuth, connect directly—there is no local MCP process to keep running:

config.json
{
  "mcpServers": {
    "contextstream": {
      "type": "http",
      "url": "https://mcp.contextstream.io/mcp"
    }
  }
}

Some clients use a different root key or config format, which is why the setup wizard is the easiest path. The hosted gateway is the default; the installed helper only syncs the local checkouts you explicitly link.

Clients that require stdio can use the verified npm launcher:

config.json
{
  "mcpServers": {
    "contextstream": {
      "command": "npx",
      "args": ["-y", "@contextstream/mcp-server@latest"],
      "env": {
        "CONTEXTSTREAM_API_KEY": "your-api-key"
      }
    }
  }
}

For production automation, pin an exact 1.x package version instead of latest.

What your agent gets

CapabilityWhat changes in practice
Grounded contextEach turn starts with the relevant workspace rules, prior decisions, lessons, and current project state.
Semantic code searchFind implementations by intent, with hybrid, keyword, pattern, exhaustive, and refactor-aware modes when precision matters.
Durable memoryDecisions, plans, tasks, runbooks, preferences, and session transcripts remain queryable across chats and tools.
Compaction survivalImportant state is checkpointed before long conversations compact and restored afterward.
Dependency intelligenceTrace blast radius, dependencies, circular imports, complexity, and unused code without manually rebuilding the graph.
Agent handoffsPackage verified state and next steps into durable handoffs and portable ContextCapsules.
Team contextBring shared workspace knowledge and supported GitHub, Slack, and Notion context into the same MCP surface.

The default tool surface is grouped into focused domains—context, search, memory, session, graph, entity, capsule, project, workspace, skill, media, vcs, and more—so agents get broad capability without an enormous tool-registration prompt.

Supported editors and agents

The wizard currently detects and configures:

  • Claude Code
  • Cursor
  • Windsurf
  • VS Code + GitHub Copilot
  • Cline
  • Kilo Code
  • Roo Code
  • OpenAI Codex
  • Aider
  • Antigravity
  • OpenCode

Anything else that speaks the Model Context Protocol can connect to the hosted URL or use the stdio launcher.

What is open source?

This repository contains the canonical Rust MCP server, protocol types, client and session layers, editor setup, hooks, public transport code, release automation, and the MongoDB-free acceleration foundation. It builds as seven workspace crates:

  • mcp-server
  • mcp-tools
  • mcp-client
  • mcp-session
  • mcp-types
  • mcp-model-registry
  • mcp-acceleration-products

The hosted backend, credentials, production deployment configuration, and premium provider implementations are not included. Public-build compatibility traits remain no-op so the core protocol surface stays stable. See docs/architecture.md for the boundary.

Privacy and data controls

Setup shows a disclosure before changing editor configuration or indexing a project. You choose the folder and workspace relationship; only matching source files from a validated project can be indexed. Transcript capture, local Git metadata capture, ignore rules, kill switches, retention behavior, and deletion paths are documented in docs/data-handling.md.

Review that document before using setup --yes in automation. The CLI also provides --dry-run for setup, repair, migration, and uninstall workflows.

Build and test from source

The workspace uses the Rust toolchain pinned in rust-toolchain.toml.

bash
cargo build --locked -p mcp-server --bin contextstream-mcp
cargo test --locked --workspace
cargo bench --locked -p mcp-server

To build the hosted HTTP gateway foundation:

bash
cargo build --locked --release -p mcp-server --bin contextstream-mcp \
  --features remote-acceleration

Release integrity

Every release publishes native binaries, checksums.txt, version.json, and an SPDX SBOM. The npm launcher downloads only from the immutable path for its exact package version, verifies manifests and binary SHA-256, uses an atomic versioned cache, and supports verified offline reuse with CONTEXTSTREAM_MCP_OFFLINE=1.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
42
Stargazers on the source repository.
Last commit
2d ago
Most recent push to the default branch.
Tools exposed
9
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about MCP Server

It works with any MCP client including Claude Code, Cursor, VS Code Copilot, Windsurf, Cline, and others.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFreemium
More technical detailsExpand â–¾
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedSep 8, 2026
10/10 checks healthy over the last 31d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars42
GitHub Star CountTotal stargazers on GitHub representing community popularity (42 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 8, 2026
61Quality signal: Good · 61/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools29/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 27d ago via OSV.dev · @contextstream/mcp-server@latest (npm)

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