Memra
@usememra
About Memra
Memra MCP server — persistent memory for AI agents. EU-hosted, privacy-first, sub-100ms hybrid recall.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"memra": {
"url": "https://usememra.com/mcp",
"headers": {
"Authorization": "Bearer memra_live_YOUR_KEY"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Memra?
Memra is a remote MCP (Model Context Protocol) server providing persistent memory for AI agents, hosted in Helsinki (EU). It offers privacy-first, deterministic recall in under 100ms with no LLM in the hot path, and has a free tier with no credit card requirement.
How to use Memra?
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.
Key features of Memra
memra_remember/memra_recallfor 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_revisionfor deterministic recall memra_supersedeandmemra_historyfor full audit trails when memories are retired- Staleness signals (
staleness_score/last_confirmed) on every result - Token-budget recall via
max_tokensto fit context windows memra_bootstrapfor priority context at session start- Multi-tenant namespaces, PII masking (7 EU languages), and read-only scoped keys
Use cases of Memra
- Give AI agents persistent memory that survives across conversations and sessions
- Detect and resolve contradictory facts during storage (e.g., outdated user preferences)
- Retrieve facts exactly matching identifiers, error codes, or semantics within a token budget
- Manage memory lifecycle with explicit superseding and history for audit purposes
- Provide priority context at the start of each session via bootstrap
FAQ from Memra
Where is data stored?
Data is hosted in the EU (Helsinki) with a privacy-first approach.
Is there a free tier?
Yes, Memra offers a free tier with no credit card required.
Can Memra run offline?
Yes, an offline alternative called memra-local is available via pip install memra-local that uses SQLite and ONNX embeddings with zero cloud calls.
What transport protocol does Memra use?
Memra uses Streamable HTTP at the endpoint https://usememra.com/mcp.
How is authentication handled?
Authentication is done via a Bearer token sent as an HTTP header: Authorization: Bearer memra_live_YOUR_KEY.
More Memory & Knowledge MCP servers
JupyterMCP - Jupyter Notebook Model Context Protocol Integration
jjsantos01A Model Context Protocol (MCP) for Jupyter Notebook
Obsidian MCP Server
cyanheadsRead, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streamable HTTP.
Notion MCP Server
makenotionOfficial Notion MCP Server
Context7 MCP - Up-to-date Docs For Any Cursor Prompt
upstashContext7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Semantic Scholar MCP Server
YUZongminA FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
Comments