ContextStream MCP Server

ContextStream MCP Server

Provides AI assistants with persistent memory and code intelligence across all tools and conversations. Features semantic search, knowledge graphs, decision tracking, and impact analysis with 60+ tools for universal context preservation.

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ContextStream MCP Server

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🧠 Your AI's Permanent Brain — Across Every Tool, Every Conversation

Tired of re-explaining your codebase to AI every single time?

ContextStream gives your AI persistent memory that follows you everywhere. Decisions remembered. Context preserved. No more repeating yourself.

Website: contextstream.io | Docs: contextstream.io/docs/mcp


✨ Why ContextStream?

The Problem

  • Close a chat with Cursor → Open a new one → AI forgot everything
  • Switch from Claude to Windsurf → Start explaining from scratch
  • New team member joins → Days of onboarding conversations
  • "Why did we build it this way?" → No one remembers

The Solution

ContextStream is a universal memory layer for AI coding tools. It works with Cursor, Claude Code, Windsurf, VS Code, and any MCP-compatible client.

You: "Initialize session and remember we use PostgreSQL with TypeScript strict mode"
...later, in a NEW conversation...
You: "What are my preferences for this project?"
AI: "You prefer TypeScript with strict mode, and you're using PostgreSQL."

It remembers. Across sessions. Across tools. Forever.


šŸš€ 2-Minute Setup

1. Get your API key (30 seconds)

Sign up at contextstream.io → Settings → API Keys → Create one.

2. Add to your MCP config (60 seconds)

Cursor / Claude Code / Windsurf / VS Code:

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

Codex CLI: Add to ~/.codex/config.toml:

[mcpServers.contextstream]
command = "npx"
args = ["-y", "@contextstream/mcp-server"]

[mcpServers.contextstream.env]
CONTEXTSTREAM_API_URL = "https://api.contextstream.io"
CONTEXTSTREAM_API_KEY = "your_api_key"

3. Try it out (30 seconds)

Start a chat and say:

"Initialize session and remember that I prefer TypeScript with strict mode"

Then start a brand new conversation and ask:

"What are my preferences?"

✨ It remembers.


šŸ”„ Beyond Memory — That's Just the Beginning

ContextStream isn't just memory storage. It understands your code.

Impact Analysis

"What breaks if I change the UserService class?"

See all dependencies and side effects before refactoring.

Decision History

"Why did we choose PostgreSQL over MongoDB?"

Recall past decisions with full context and reasoning.

Semantic Code Search

"Find where we handle rate limiting"

Search by meaning, not just keywords. Find code by intent.

Knowledge Graph

"Show dependencies for the auth module"

Visualize connections between code, decisions, and docs.


šŸ“Š 60+ MCP Tools at Your Fingertips

šŸ” Code Search & Context

Tool Description
search_semantic Find code by meaning, not just keywords
search_hybrid Combines semantic + keyword for best results
search_pattern Regex-based code search
ai_context Automatically gather relevant code, docs, and memory

🧠 Memory & Knowledge

Tool Description
session_remember Quick natural language memory ("Remember I prefer TypeScript")
session_recall Quick recall ("What were the auth decisions?")
memory_create_event Store decisions, insights, and context
memory_search Find relevant past context
memory_decisions Get decision summaries

šŸ“Š Code Intelligence

Tool Description
graph_dependencies Understand what depends on what
graph_call_path Trace execution flows
graph_impact Understand change impact
graph_circular_dependencies Find problematic cycles
graph_unused_code Identify dead code

šŸ¤– AI Integration

Tool Description
ai_context Build LLM-ready context from your codebase
ai_enhanced_context Deep analysis with memory integration
ai_plan AI-powered development planning
ai_tasks Break down work into actionable tasks

šŸš€ Session Management

Tool Description
session_init Initialize conversation with auto-context
context_smart Get relevant context for any message
session_capture Store context to memory
session_compress Compress chat history to memory

See all 60+ tools →


✨ Auto-Context (v0.3.0+)

Context loads automatically on the first tool call. No manual setup required.

═══════════════════════════════════════════
🧠 AUTO-CONTEXT LOADED (ContextStream)
═══════════════════════════════════════════
šŸ“ Workspace: my-project
šŸ“‚ Project: backend-api

šŸ“‹ Recent Decisions:
   • Use PostgreSQL for persistence
   • JWT for authentication

🧠 Recent Context:
   • [decision] API design patterns
   • [preference] TypeScript strict mode
═══════════════════════════════════════════

Works with all MCP clients — no client-side changes required.


šŸ›”ļø Privacy & Security

  • Encrypted at rest — All data encrypted with AES-256
  • No training on your data — We never use your code to train AI
  • You control access — Workspace permissions & API keys
  • Self-host option — Enterprise can self-host for full control

šŸ† Why Not Built-in Memory?

Built-in memory ContextStream
āœ— Vendor lock-in — switch tools, lose everything āœ“ Universal — Cursor, Claude, Windsurf, any MCP tool
āœ— Expires or resets over time āœ“ Persistent forever — never lose context (paid plans)
āœ— No semantic search āœ“ Semantic search — find anything across all history
āœ— Personal only — teammates start from zero āœ“ Team memory — shared context, instant onboarding
āœ— No API access āœ“ 60+ MCP tools — full API and automation
āœ— Memory isolated from code āœ“ Knowledge graph — decisions linked to code
āœ— Clunky to use āœ“ Natural language — "remember X", "what did we decide about Y?"

šŸ“– Full Tool Reference

<details> <summary><strong>Authentication</strong></summary>

Tool Description
auth_me Get current user profile

</details>

<details> <summary><strong>Workspaces</strong></summary>

Tool Description
workspaces_list List accessible workspaces
workspaces_get Get workspace details
workspaces_create Create a new workspace
workspaces_overview Get workspace summary
workspaces_analytics Get usage analytics
workspaces_content List workspace content

</details>

<details> <summary><strong>Projects</strong></summary>

Tool Description
projects_list List projects (by workspace)
projects_get Get project details
projects_create Create a new project
projects_overview Get project summary
projects_statistics Get code statistics
projects_files List indexed files
projects_index Trigger re-indexing
projects_index_status Check indexing status

</details>

<details> <summary><strong>Search</strong></summary>

Tool Description
search_semantic Semantic vector search
search_hybrid Combined semantic + keyword
search_keyword Traditional keyword search
search_pattern Regex pattern search
search_suggestions Get search suggestions

</details>

<details> <summary><strong>Memory</strong></summary>

Tool Description
memory_create_event Store a memory event
memory_get_event Retrieve an event
memory_update_event Update an event
memory_delete_event Remove an event
memory_list_events List events in workspace
memory_bulk_ingest Bulk import events
memory_distill_event Extract key insights
memory_create_node Create knowledge node
memory_get_node Get knowledge node
memory_update_node Update knowledge node
memory_delete_node Remove knowledge node
memory_supersede_node Replace with new version
memory_list_nodes List knowledge nodes
memory_search Search memory
memory_decisions Get decision summaries
memory_timeline Get chronological timeline
memory_summary Get condensed summary

</details>

<details> <summary><strong>Graph Analysis</strong></summary>

Tool Description
graph_related Find related knowledge nodes
graph_path Find path between nodes
graph_decisions Decision history in graph
graph_dependencies Query code dependencies
graph_call_path Trace call paths
graph_impact Analyze change impact
graph_circular_dependencies Find circular deps
graph_unused_code Find dead code
graph_contradictions Find conflicting info

</details>

<details> <summary><strong>AI</strong></summary>

Tool Description
ai_context Build LLM context
ai_enhanced_context Deep context with memory
ai_embeddings Generate embeddings
ai_plan Generate dev plan
ai_tasks Generate tasks

</details>

<details> <summary><strong>Session & Auto-Context</strong></summary>

Tool Description
session_init Initialize conversation
session_get_user_context Get user preferences
session_capture Store context to memory
session_smart_search Search with context enrichment
session_remember Quick natural language memory
session_recall Quick natural language recall
context_smart Get relevant context for message
session_compress Compress chat history to memory
session_summary Get compact workspace summary
session_delta Get changes since timestamp

</details>


šŸ”Œ Pre-built Prompts

Prompt Description
explore-codebase Get a codebase overview
capture-decision Document an ADR
review-context Build code review context
investigate-bug Debug investigation helper
explore-knowledge Navigate knowledge graph
onboard-to-project Generate onboarding guide
analyze-refactoring Find refactoring opportunities
build-context Build comprehensive LLM context

āš™ļø Environment Variables

Variable Required Description
CONTEXTSTREAM_API_URL Yes API base URL (https://api.contextstream.io)
CONTEXTSTREAM_API_KEY Yes Your API key from contextstream.io

šŸ”— Links


šŸ¤ Contributing

We welcome contributions! Here's how you can help:

  1. Report bugs — Open an issue at GitHub Issues
  2. Request features — Share your ideas in the issues
  3. Submit PRs — Fork the repo and submit pull requests

Development

# Clone the repo
git clone https://github.com/contextstream/mcp-server.git
cd mcp-server

# Install dependencies
npm install

# Run in development mode
npm run dev

# Build for production
npm run build

# Type check
npm run typecheck

šŸ“„ License

MIT

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