Is io.github.AdelElo13/neuromcp safe to use?

io.github.AdelElo13/neuromcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.AdelElo13/neuromcp?

io.github.AdelElo13/neuromcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.AdelElo13/neuromcp do?

io.github.AdelElo13/neuromcp provides 3 tools: memory_search, memory_store, wiki_update. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.AdelElo13/neuromcp?

io.github.AdelElo13/neuromcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is io.github.AdelElo13/neuromcp actively maintained?

io.github.AdelElo13/neuromcp is actively maintained — last commit was 13 days ago. It has 4 GitHub stars.

io.github.AdelElo13/neuromcp

neuromcp

Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation

4 96/wk 3 tools GitHub npm

No known CVEs

No license

Actively maintained

Last commit 13d ago

Works with most clients

Transport: stdio

3 tools · ~285 tok

Grade A · 0.1% of 200K ctx

Edit this pageView history

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-adelelo13-neuromcp": {
      "args": [
        "-y",
        "neuromcp"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-adelelo13-neuromcp)](https://mcppedia.org/s/io-github-adelelo13-neuromcp)

Read me

What io.github.AdelElo13/neuromcp does

neuromcp is the first Sovereign Memory layer for AI: an open-source MCP server that gives Claude, GPT, Gemini, and Ollama persistent, searchable memory — stored entirely on your machine. No API keys. No cloud sync. No subscription required to remember who you are.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'neuromcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked neuromcp against OSV.dev.

Inventory

Tools (3)

Click any tool to inspect its schema.

~285 tokens total

Inventory

Resources (4)

wiki_index

Routekaart — LLM reads this first at session start, contains primary navigation and overview

file://.neuromcp/wiki/index.md

wiki_schema

Operating rules and schema for the LLM to follow

file://.neuromcp/wiki/schema.md

wiki_changelog

Append-only changelog of all memory updates

file://.neuromcp/wiki/log.md

memory_database

SQLite database containing hybrid-indexed memories with vector embeddings and full-text search

file://.neuromcp/memory.db

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.AdelElo13/neuromcp safe to use?: io.github.AdelElo13/neuromcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.AdelElo13/neuromcp?: io.github.AdelElo13/neuromcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.AdelElo13/neuromcp do?: io.github.AdelElo13/neuromcp provides 3 tools: memory_search, memory_store, wiki_update. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.AdelElo13/neuromcp?: io.github.AdelElo13/neuromcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is io.github.AdelElo13/neuromcp actively maintained?: io.github.AdelElo13/neuromcp is actively maintained — last commit was 13 days ago. It has 4 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-adelelo13-neuromcp": {
      "args": [
        "-y",
        "neuromcp"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-adelelo13-neuromcp)](https://mcppedia.org/s/io-github-adelelo13-neuromcp)

Read me

What io.github.AdelElo13/neuromcp does

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'neuromcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

neuromcp — Sovereign Memory for AI agents

Any model. Your memory. Stays local.

neuromcp is the first Sovereign Memory layer for AI: an open-source MCP server that gives Claude, GPT, Gemini, and Ollama persistent, searchable memory — stored entirely on your machine. No API keys. No cloud sync. No subscription required to remember who you are.

Sovereign Memory = data that you own outright, lives on hardware you control, and is portable across every model you use. Cloud memory products own your data; Sovereign Memory means you do.

npx neuromcp

Why neuromcp

The LLM is a commodity. Your memory is the moat. GPT-5, Claude 4, Gemini — they all converge. The model you use next year will differ. The memory of every conversation, decision, and preference you build is yours. neuromcp keeps that layer on your machine and makes it portable across any MCP-compatible client.

Local-first is a design choice, not a limitation. No telemetry. No data leaves your laptop. No vendor has a copy of your conversations. Audit every line of code that touches your memory. SQLite + local embeddings; everything fits on one disk.

One install. Every client. Claude Desktop, Cursor, Windsurf, Codex CLI, Continue, LibreChat, Open WebUI — neuromcp speaks MCP, so it works wherever MCP is supported. Switch models tomorrow; your memory follows.

Real recall, not keyword matching. Hybrid retrieval combines vector search (nomic-embed-text, 768-dim), BM25 full-text, graph links, and a learned usefulness prior. At 500 distractors on LongMemEval, R@5 holds at 93.3%. Your context window gets the right memory, not just the most recent.

LongMemEval-S accuracy

Run	Score	Sample	Config
v7 (current)	96.08% (98/102)	n=102	Opus generator + Opus judge, single-model
v6	95.10% (97/102)	n=102	Same as v7, prior hint set

Repro: OMB_ANSWER_LLM=claude OMB_ANSWER_MODEL=opus OMB_JUDGE_LLM=claude OMB_JUDGE_MODEL=opus uv run omb run --dataset longmemeval -s s -m neuromcp -c "single-session-user,single-session-assistant,multi-session,temporal-reasoning,knowledge-update,single-session-preference" --query-limit 17

Sample size honesty. n=102 (17 per category × 6 categories). Wilson 95% CI for 98/102 ≈ 90.5–98.7%. Full 500q run with the same config is the next milestone before any "top-tier" claim.

Benchmarks (v0.18.0)

Oracle split (clean — easy mode)

Mode	R@5	R@10	Hit Rate
Extracted (hybrid)	100%	100%	100%

Oracle-split LongMemEval isolates the correct memory in a small corpus. Every local MCP memory system claims ~99% here. It measures "does the ranker work on clean inputs" — nothing more.

Distractor split (v0.18.0, honest)

Same 30 questions + 1000 random distractor memories drawn from other questions' haystacks. The correct memory now competes against real noise.

Embedder	Distractors	N	R@5	R@10	MRR
Ollama `nomic-embed-text`	0 (oracle)	30	100%	100%	100%
Ollama `nomic-embed-text`	200	5	100%	100%	100%
Ollama `nomic-embed-text`	500	30	93.3%	93.3%	80.3%
Ollama `nomic-embed-text`	1000	5	100%	100%	74%

Reproduce: npx tsx eval/longmemeval-distractor-runner.ts --limit 5 --distractors 1000

Sample sizes. The 500-distractor row is n=30 (Wilson 95% CI for 28/30 ≈ 78-99% R@5). The 1000-distractor row is n=5 — preliminary, Wilson 95% CI [57%, 100%]. The 1000-distractor n=30 run takes ~36 min

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked neuromcp against OSV.dev.

Inventory

Tools (3)

Click any tool to inspect its schema.

~285 tokens total

Inventory

Resources (4)

wiki_index

Routekaart — LLM reads this first at session start, contains primary navigation and overview

file://.neuromcp/wiki/index.md

wiki_schema

Operating rules and schema for the LLM to follow

file://.neuromcp/wiki/schema.md

wiki_changelog

Append-only changelog of all memory updates

file://.neuromcp/wiki/log.md

memory_database

SQLite database containing hybrid-indexed memories with vector embeddings and full-text search

file://.neuromcp/memory.db

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.AdelElo13/neuromcp safe to use?: io.github.AdelElo13/neuromcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.AdelElo13/neuromcp?: io.github.AdelElo13/neuromcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.AdelElo13/neuromcp do?: io.github.AdelElo13/neuromcp provides 3 tools: memory_search, memory_store, wiki_update. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.AdelElo13/neuromcp?: io.github.AdelElo13/neuromcp is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is io.github.AdelElo13/neuromcp actively maintained?: io.github.AdelElo13/neuromcp is actively maintained — last commit was 13 days ago. It has 4 GitHub stars.

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Get CVE alerts and security updates for io.github.AdelElo13/neuromcp and similar servers.

Community