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Lore Context MCP server

by Lore-Context·io.github.Lore-Context/lore-context-mcp·v0.6.0-alpha.1·4 stars
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Governed AI-agent memory, Evidence Ledger traces, evals, and portable context tools.

B77/100grade B
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Safety scan
B77/100

full report

Adoption
Growing

4 stars26 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Lore Context tools (11, 4 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • context_query

    Get agent-ready context from memory, web search, repo evidence and tool traces.

  • eval_runwrite action

    Run retrieval evaluation over uploaded sessions and questions.

  • memory_export

    Export visible memories as Lore JSON or Markdown.

  • memory_forget

    Forget memories by explicit selector. Requires a reason and defaults to soft delete.

  • memory_get

    Read one visible Lore memory by id.

  • memory_list

    List visible memories with pagination and filters.

  • memory_search

    Search visible Lore memories directly.

  • memory_supersedewrite action

    Create a new version of a memory and mark the previous one superseded.

  • memory_updatewrite action

    Edit an existing memory. Risky content returns to the governance review queue.

  • memory_writewrite action

    Save a user-approved or project-relevant memory with audit logging.

  • trace_get

    Read a context or memory trace by id.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan3 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 62 days ago12/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 77/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Lore Context compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
77/100
higher than 50% of 4,460 AI and agents servers
Tools
11
the typical AI and agents server has 6
Tools that change things
36%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
4
more than 77% of 2,711 AI and agents servers
Downloads a week
26
more than 12% of 1,538 AI and agents servers with a package

What its tools let an agent do: 7 read · 3 change · 1 run or deploy

Install Lore Context in Claude Code, Cursor or VS Code

Runs npx -y @lore-context/server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add lore-context-mcp -- npx -y @lore-context/server
Add to Cursor

What the publisher says

From the Lore Context repository's README, as published. We do not edit it. Read it on GitHub

Lore Context

The control plane for AI-agent memory, eval, and governance.

Know what every agent remembered, used, and should forget — before memory becomes production risk.

Getting Started · Website Quickstart · Benchmark Methodology · API Reference · Architecture · Project Plan · Release Status · Roadmap · Integrations · Deployment · Changelog

🌐 Read this in your language: English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Tiếng Việt · Español · Português · Русский · Türkçe · Deutsch · Français · Italiano · Ελληνικά · Polski · Українська · Bahasa Indonesia

Localized docs may lag the current English release notes; the canonical v2.1 docs are the English README and docs/ set.

What is Lore Context

Lore Context is an open-core control plane for AI-agent memory: it composes context across memory, search, repository graphs, and tool traces; evaluates retrieval quality on your own datasets; routes governance review for sensitive content; and exports memory as a portable interchange format you can move between backends.

It does not try to be another memory database. The unique value is what sits on top of memory:

  • Context Query — single endpoint composes memory + web + repo + tool traces, returns a graded context block with provenance.
  • Memory Eval — runs Recall@K, Precision@K, MRR, stale-hit-rate, p95 latency on datasets you own; persists runs and diffs them for regression detection.
  • Governance Review — six-state lifecycle (candidate / active / flagged / redacted / superseded / deleted), risk-tag scanning, poisoning heuristics, immutable audit log.
  • MIF-like Portability — JSON + Markdown export/import preserving provenance / validity / confidence / source_refs / supersedes / contradicts. Works as a migration format between memory backends.
  • Repo Graph — deterministic repository indexing (files, symbols, imports, calls, routes, tests) exposed as API routes and read-only MCP tools so agents ground repository answers in a stable project-context contract.
  • Multi-Agent Adapter — first-class agentmemory integration with version probe + degraded-mode fallback; clean adapter contract for additional runtimes.

When to use it

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Lore Context: common questions

Is Lore Context MCP server safe?
Mostly: it is graded B (77/100). Read the Lore Context safety report
How do I install Lore Context?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Lore Context need an API key?
Yes. The registry entry asks for LORE_API_KEY.
Is Lore Context maintained?
The last commit was 99 days ago (2026-07-28). The latest release is v0.6.0-alpha.1.
What can I use instead of Lore Context?
Servers from other publishers that do the same job: Basic Memory MCP server, HOL Guard MCP server and IWE (iwe.md) MCP server.
How does Lore Context compare with other AI and agents MCP servers?
safety score 77/100 (higher than 50% of 4,460 AI and agents servers); tools 11 (the typical AI and agents server has 6); tools that change things 36% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Lore Context

Same job from other publishers: the closest match first, then the best rated.

  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • HOL Guard
    Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
    A
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Memanto
    MCP server for Memanto - persistent semantic memory for any MCP-compatible agent
    A
  • Watch Skill
    Watch video and live sessions, keep timestamped evidence, and verify an agent's own work.
    B