Mcp Context Server
Give Claude Code or Cursor a durable memory layer so multimodal snippets survive across long agent sessions.
Overview
mcp-context-server is a MCP server for the Build phase that provides persistent multimodal context storage for LLM coding agents over stdio.
What is this MCP server?
- Stdio MCP server (PyPI mcp-context-server v2.2.2) for LLM agent context persistence
- Multimodal storage with configurable MAX_IMAGE_SIZE_MB and MAX_TOTAL_SIZE_MB limits
- Pluggable backends: sqlite (default) or postgresql via STORAGE_BACKEND
- Tunable SQLite pool with POOL_MAX_READERS and custom DB_PATH
- LOG_LEVEL and size caps help keep local agent setups predictable on one machine
- Server version 2.2.2 on PyPI with stdio transport
- Default storage backend sqlite; postgresql optional
- Configurable MAX_IMAGE_SIZE_MB, MAX_TOTAL_SIZE_MB, and POOL_MAX_READERS
Community signal: 8 GitHub stars.
What problem does it solve?
Long agent runs lose prior screenshots, notes, and mixed media because nothing durable sits outside the chat window.
Who is it for?
Indie builders running local Claude Code or Cursor who want agent memory without building a custom vector stack first.
Skip if: Teams that need hosted multi-user memory, enterprise ACLs, or a pure REST API with no MCP client.
What do I get? / Deliverables
After you register the stdio server, your agent can store and recall multimodal context across sessions with sqlite or PostgreSQL backends you control.
- Running stdio MCP server with configured storage backend
- Agent-accessible persistent multimodal context store
- Local DB file or PostgreSQL-backed context for repeat sessions
Recommended MCP Servers
Journey fit
Context servers are cataloged where agent harnesses are wired—Build is where solo builders attach MCP stdio servers to coding agents. Persistent multimodal storage is core agent-tooling infrastructure, not a one-off integration for a single SaaS API.
How it compares
MCP persistence layer for agents, not a RAG SaaS or a single-repo coding skill.
Common Questions / FAQ
Who is mcp-context-server for?
Solo and indie developers who use MCP-enabled coding agents and want multimodal context to survive beyond one chat thread.
When should I use mcp-context-server?
Use it when you are wiring Build-phase agent tooling and need images plus text retained locally with sqlite or PostgreSQL.
How do I add mcp-context-server to my agent?
Install the PyPI package mcp-context-server, set STORAGE_BACKEND and optional DB_PATH or size limits, then add a stdio MCP entry in Claude Code, Cursor, or another MCP client.