ContextStream MCP Server
Give your coding agent persistent code context, memory, and search through ContextStream instead of re-indexing the repo every session.
Overview
ContextStream MCP server is a Build-phase MCP server that provides code context, memory, search, and AI tools to coding agents over stdio MCP.
What is this MCP server?
- MCP server for code context, memory, search, and related AI utilities
- npm @contextstream/mcp-server v0.3.63 with stdio transport
- Documented at contextstream.io/docs/mcp for setup and capabilities
- GitHub-hosted mcp-server package for version tracking and issues
- Targets agents that need durable session memory beyond a single chat window
- Manifest version 0.3.63
- npm package @contextstream/mcp-server
- Transport stdio
Community signal: 36 GitHub stars.
What problem does it solve?
Long agent sessions bleed context, so you re-explain architecture and hunt symbols instead of shipping features.
Who is it for?
Solo builders on sizable codebases who want MCP-native memory and search tied to ContextStream’s stack.
Skip if: Teams that only need static CLAUDE.md context or who will not run an external ContextStream account or backend.
What do I get? / Deliverables
Registering the server lets your agent query ContextStream-backed memory and search without rebuilding ad-hoc context packs each time.
- Agent-callable context and memory tools via MCP
- Search-backed answers grounded in ContextStream indexes
- Documented integration path from contextstream.io/docs/mcp
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Journey fit
Build is the primary journey phase because the server augments day-to-day implementation and refactoring with contextual recall and search. agent-tooling captures MCP-side memory and retrieval that sits beside the editor, not a shipped end-user UI.
How it compares
Context and memory MCP integration, not a Spanish fiscal or market-research remote service.
Common Questions / FAQ
Who is ContextStream MCP server for?
It is for developers using MCP clients who want ContextStream’s code context, memory, and search tools inside Claude Code, Cursor, or compatible agents.
When should I use ContextStream MCP server?
Use it when repeated repo explanations slow you down or when you need searchable, persistent context across coding sessions.
How do I add ContextStream MCP server to my agent?
Install @contextstream/mcp-server, add a stdio MCP entry in your agent config, and follow https://contextstream.io/docs/mcp for API keys or workspace linkage.