Attestor MCP Server
@bolnet
Basic information
About Attestor MCP Server
Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval (no LLM in the critical path), conversation ingest with speaker-locked dual-pass extraction, per-tenant Postgres row-level
Attestor MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"attestor": {
"command": "attestor",
"args": [
"mcp"
],
"env": {
"ATTESTOR_DISABLE_LOCAL_EMBED": "1"
}
}
}
}Attestor MCP Server tools
Tool list not available yet
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Attestor?
Attestor is a memory store for agent teams that need a shared, tenant-isolated memory with bi-temporal replay, deterministic retrieval, and an auditable supersession chain. It runs as a Python library, a Starlette REST service, or an MCP server — the same API in all three.
How to use Attestor?
Install via pip install attestor, set up local Postgres and Neo4j using attestor setup local, pull the default embedder (ollama pull bge-m3), then verify with attestor doctor. Use the Python API (AgentMemory, AgentContext) or run as an MCP server.
Key features of Attestor
- Bi-temporal memories with event and transaction time axes for point-in-time reconstruction.
- Deterministic six-step retrieval pipeline with no LLM in the hot path.
- Tenant isolation via Postgres Row-Level Security.
- Conversation ingest with two-pass speaker-locked
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