eywa-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@eywa-mcp retrieve handoff from my previous session about MCP routing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Eywa MCP
Cross-session memory for Claude Code (MCP server + CLI).
The Problem
Claude Code sessions are ephemeral. Context is lost between sessions, so you start fresh each time and re-explain what you were working on.
For heavy Claude Code users with hundreds of sessions, that context reset becomes a major productivity drain.
Related MCP server: handoff-mcp
The Solution
Eywa extracts a structured handoff at the end of each session and retrieves relevant past context at the start of the next one.
The name comes from the neural network in Avatar: Eywa connects sessions the way Eywa connects living memory.
How It Works
Eywa runs a deterministic pipeline around your Claude Code transcripts:
Session Detection: 4-strategy fallback (explicit session ID, PID tracing, CWD mtime, global mtime).
Session Conversion: JSONL transcript -> normalized markdown conversation.
Extraction: LLM-powered structured handoff extraction.
Indexing: Inverted index with metadata + TF-IDF-friendly keyword/project maps.
Retrieval: Query keyword scoring + recency decay to return relevant handoffs.
Claude Code JSONL Session
|
v
[Session Detection]
|
v
[JSONL -> Markdown]
|
v
[Structured Extraction]
|
v
[Handoff Markdown + Index]
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v
eywa_get()Two-Stage Setup
Stage 1: Batch Index (one-time setup)
Use eywa-batch to process existing historical sessions in bulk through OpenRouter.
You can pick any OpenRouter model (Gemini Flash, Claude, GPT, Llama, etc.)
Default batch model:
google/gemini-3-flash-previewDesigned for hundreds of prior sessions
Fast + low-cost extraction pass
Builds your initial handoff corpus and index
Stage 2: Runtime
Run eywa-mcp alongside Claude Code for ongoing sessions.
Uses Claude (Sonnet) extraction at session end (
eywa_extract())Retrieves relevant context at session start (
eywa_get())Installs a companion CLI (
eywa) for scripts and manual use
Installation
Prerequisites
Python 3.10+
Node.js 18+
Claude Code
Option A: Bootstrap (recommended)
Run the repo bootstrap script to check prerequisites and install both Python and Node dependencies:
./setup.shThis installs three commands:
eywa-mcp(MCP stdio server)eywa(CLI: get/extract/rebuild-index)eywa-batch(OpenRouter-powered batch indexing)
Option B: Manual install
1) Install Python package (editable)
pip install -e .2) Install Node extractor dependencies
cd eywa/extractors
npm install
cd ../..3) Configure environment
cp .env.example .env4) Register MCP server
Add to claude_desktop_config.json or ~/.claude.json:
{
"mcpServers": {
"eywa": {
"command": "eywa-mcp"
}
}
}5) Run manually (optional)
eywa-mcpConfiguration
Variable | Default | Description |
|
| Runtime storage root for handoffs and index |
|
| Claude Code session JSONL root |
|
| Tasks directory used for PID-based session detection |
|
| Model used by runtime extraction ( |
|
| OpenRouter model used by batch indexing ( |
| (unset) | OpenRouter API key for batch extraction |
|
| Delay (seconds) between batch API calls |
|
| Concurrent sessions processed by |
|
| Timezone for rendered session timestamps |
|
| Logging verbosity |
Usage
Eywa exposes two MCP tools (for Claude Code) and a CLI (for humans/scripts).
eywa_get()
Retrieve relevant context from prior handoffs.
No query (recent sessions):
{"max_handoffs": 3}With query:
{"query": "mcp tool routing and index scoring", "days_back": 30, "max_handoffs": 4}With tighter options:
{"query": "release pipeline", "days_back": 7, "max_handoffs": 2}Sample output:
## Eywa: 2 past sessions
# Implemented MCP routing fallback logic
## What Happened
- Added explicit tool dispatch guard for unknown tool names.
- Introduced parse-time validation for input payload constraints.
## Open Threads
- Add integration tests for malformed tool inputs.eywa_extract()
Extract and persist a handoff from the active session.
Auto-detect active session:
{}Explicit session ID:
{"session_id": "12345678-1234-1234-1234-123456789abc"}CLI (eywa)
Manual equivalents of the MCP tools:
eywa get # 3 most recent sessions
eywa get "mcp tool routing" --days-back 30 --max 5
eywa extract # auto-detect current session
eywa extract 1b2f6f6b # 8-char short ID
eywa extract 1b2f6f6b-65a6-... # full UUID
eywa rebuild-index # rebuild index from stored handoffsBatch Indexing
Run one-time bulk import of historical sessions:
eywa-batchSet your OpenRouter API key first:
export OPENROUTER_API_KEY=...Choose a model (optional):
export EYWA_OPENROUTER_MODEL=anthropic/claude-3.5-sonnetDry run (no API calls):
eywa-batch --dry-runCustom delay between calls:
eywa-batch --delay 1.0Set concurrency (1-20):
eywa-batch --concurrency 10Limit the run:
eywa-batch --max 50Force reindex all sessions:
eywa-batch --reindexWhat to expect:
Scans
EYWA_SESSIONS_DIRfor*.jsonlSkips already-indexed sessions (unless
--reindex)Skips very short/trivial sessions
Uses OpenRouter Chat Completions with your selected model
Writes handoffs to
YYYY/MM/DD/<session_id>.mdUpdates
handoff-index.jsonincrementallyPrints progress and end-of-run summary
License
MIT. See LICENSE.
Available Tools
2 toolseywa_extractA
Extract a handoff from the current session (or a specified session).
Called at end of session to persist a handoff document.
Extracts key decisions, insights, and open threads via the Anthropic Claude model configured by
EYWA_CLAUDE_MODEL (default: sonnet) using the Claude Agent SDK.
No args: auto-detects current session via PID tracing + mtime.
With session_id: extracts that specific session.
Examples:
eywa_extract()
eywa_extract(session_id="1b2f6f6b-65a6-42ff-aca7-34889b422799")
Inputs: session_id.
eywa_getA
Retrieve past session handoffs for context continuity.
Called at session start or when you need context about past work.
No query: returns 3 most recent substantial sessions.
With query: keyword-matches against past sessions, returns top matches.
Examples:
eywa_get()
eywa_get(query="sorbent reasoning tokens")
eywa_get(query="river mcp", days_back=30, max_handoffs=5)
Inputs: query, days_back, max_handoffs.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: eywa_extract saves a handoff from a session, while eywa_get retrieves past handoffs. There is no functional overlap.
Both tools follow the same pattern: 'eywa_' prefix followed by a descriptive verb (extract, get). This is consistent and predictable.
With only 2 tools, the surface is minimal. While it covers the core extract and retrieve operations for handoffs, it feels thin; additional management tools like delete or list could be expected.
The tools cover the primary operations of creating (extract) and reading (get) handoffs. Gaps include update and delete, but those may not be necessary for immutable handoffs. Minor missing features like listing all handoffs are partially addressed by querying.
Maintenance
Related MCP Connectors
Shared memory for coding agents. Stop re-explaining your codebase every session.
Shared work memory for Claude Code, Codex, Cursor and chat, scoped to each repository.
Persistent cross-session memory shared by Codex, Claude Code, ChatGPT, and other AI agents.
Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides persistent cross-session memory for Claude Code, enabling it to remember user preferences, decisions, and project context across new sessions.Apache 2.0
- AlicenseNot gradedqualityBmaintenanceProvides persistent memory for AI coding agents across sessions by saving and loading session context like tasks, decisions, and blockers.246 npmMIT
- AlicenseNot gradedqualityDmaintenanceProvides persistent memory for Claude Code, automatically extracting and surfacing relevant context from past sessions to avoid re-explaining issues and decisions.MIT
- AlicenseNot gradedqualityCmaintenanceProvides persistent codebase memory for Claude Code, enabling semantic understanding of the project structure and action history across sessions to reduce redundant file reads.1MIT