contextstream/mcp-server
by Various
📇 ☁️ 🍎 🪟 🐧 - Universal persistent memory for AI coding tools. Semantic code search, knowledge graphs, impact analysis, decision tracking, and 60+ MCP tools. Works across Cursor
MCP
contextstream/mcp-server
Added 1 June 2026
Overview
A universal persistent memory server for AI coding tools that provides semantic code search, knowledge graphs, impact analysis, and decision tracking. It exposes over 60 MCP tools and integrates with editors like Cursor.
Best for
Best for
Developers using AI coding assistants who need long-term project memory and semantic code understanding
Use cases
- Search code semantically across large codebases
- Track design decisions and their rationale
- Analyze impact of changes before committing
Notes
A universal persistent memory server for AI coding tools that provides semantic code search, knowledge graphs, impact analysis, and decision tracking. It exposes over 60 MCP tools and integrates with editors like Cursor.
Use cases
- Search code semantically across large codebases
- Track design decisions and their rationale
- Analyze impact of changes before committing
Pros
- Offers a broad set of 60+ MCP tools for diverse tasks
- Persistent memory retains context across sessions
- Works with multiple platforms (macOS, Windows, Linux)
Cons
- Requires MCP-compatible clients to use
- Setup and configuration may be non-trivial for beginners
- Dependency on external server for persistent memory
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Offers a broad set of 60+ MCP tools for diverse tasks
- Persistent memory retains context across sessions
- Works with multiple platforms (macOS, Windows, Linux)
Cons
- Requires MCP-compatible clients to use
- Setup and configuration may be non-trivial for beginners
- Dependency on external server for persistent memory
Pairs with
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