Memra
About
Memra MCP server — persistent memory for AI agents. EU-hosted, privacy-first, sub-100ms hybrid recall.
Details
- Author
- usememra
- Downloads
- 282
- Categories
- Knowledge Base
Jump to
- memra_remember / memra_recall for storing and retrieving facts with hybrid semantic + lexical search
- Write-time contradiction detection: storing a conflicting fact returns conflicts[]
- Read-your-writes with revision tokens and wait_for_revision for deterministic recall
- memra_supersede and memra_history for full audit trails when memories are retired
- Staleness signals (staleness_score / last_confirmed) on every result
- Token-budget recall via max_tokens to fit context windows
- memra_bootstrap for priority context at session start
- Multi-tenant namespaces, PII masking (7 EU languages), and read-only scoped keys
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MemraCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Obtain an API key at usememra.com, then configure Memra as an MCP server in your client. For Claude Code use claude mcp add --transport http memra https://usememra.com/mcp --header "Authorization: Bearer memra_live_YOUR_KEY". For Cursor, Cline, or any MCP client, add the endpoint and auth header to your mcp.json file.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"memra": {
"memra": {
"url": "https://usememra.com/mcp",
"headers": {
"Authorization": "Bearer memra_live_YOUR_KEY"
}
}
}
}
}McpServers
{
"memra": {
"url": "https://usememra.com/mcp",
"headers": {
"Authorization": "Bearer memra_live_YOUR_KEY"
}
}
}Memra MCP Server
Persistent memory for AI agents — remote MCP server. EU-hosted (Helsinki), privacy-first, deterministic sub-100ms recall with no LLM in the hot path.
Endpoint: https://usememra.com/mcp (Streamable HTTP) · Registry: com.usememra/memra · Free tier, no credit card.
What it gives your agent
- memra_remember / memra_recall — store facts, decisions, patterns; hybrid semantic + lexical (BM25) search that also matches exact identifiers and error codes
- Write-time contradiction detection — storing a fact that clashes with existing knowledge returns conflicts[] so the agent can supersede the outdated one
- Read-your-writes — every write returns a revision token; recall with wait_for_revision is deterministic
- memra_supersede + memra_history — memories retire with full audit chains instead of going stale
- Staleness signals — every result carries staleness_score / last_confirmed; the agent decides what to trust
- Token-budget recall — max_tokens: 2000 returns the best memories that fit your context window
- memra_bootstrap — priority context at session start
- Multi-tenant namespaces, PII masking (7 EU language models), read-only scoped keys for subagents
Setup
Get an API key at usememra.com (free tier), then:
Claude Code
claude mcp add --transport http memra https://usememra.com/mcp --header "Authorization: Bearer memra_live_YOUR_KEY"
Cursor / Cline / any MCP client (mcp.json)
{
"mcpServers": {
"memra": {
"url": "https://usememra.com/mcp",
"headers": { "Authorization": "Bearer memra_live_YOUR_KEY" }
}
}
}
Fully offline alternative: pip install memra-local — same tools, SQLite + ONNX embeddings, zero cloud calls.
Docs
- llms-full.txt — complete machine-readable API reference
- OpenAPI · Changelog · Security · Data & privacy
SDKs: pip install memra-sdk · npm install @usememra/sdk · composer require memra/sdk
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