Is io.github.louis49/melchizedek safe to use?

io.github.louis49/melchizedek 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.louis49/melchizedek?

io.github.louis49/melchizedek 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 AI clients work with io.github.louis49/melchizedek?

io.github.louis49/melchizedek is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.louis49/melchizedek actively maintained?

io.github.louis49/melchizedek is actively maintained — last commit was 8 days ago. It has 7 GitHub stars.

io.github.louis49/melchizedek

melchizedek-server

Persistent memory for Claude Code — offline, single-file, hybrid search.

7 GitHub npm

No known CVEs

No license

Actively maintained

Last commit 8d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

Edit this pageView history

AI / ML Productivity

Step 1

Install in your client

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

Supported in Claude Desktopstdio, sse, http · Node 18+

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

{
  "mcpServers": {
    "io-github-louis49-melchizedek": {
      "args": [
        "-y",
        "melchizedek-server"
      ],
      "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-louis49-melchizedek)](https://mcppedia.org/s/io-github-louis49-melchizedek)

Read me

What io.github.louis49/melchizedek does

Persistent memory for Claude Code. Automatically indexes every conversation and provides production-grade hybrid search (BM25 + vectors + reranker) via MCP tools. 100% local, zero config, zero API keys, zero invoice.

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 'melchizedek-server' 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

55/100across 5 weighted dimensions

How we score →

0255075100

−45

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked melchizedek-server against OSV.dev.

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.louis49/melchizedek safe to use?: io.github.louis49/melchizedek 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.louis49/melchizedek?: io.github.louis49/melchizedek 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 AI clients work with io.github.louis49/melchizedek?: io.github.louis49/melchizedek is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.louis49/melchizedek actively maintained?: io.github.louis49/melchizedek is actively maintained — last commit was 8 days ago. It has 7 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 Productivity

Step 1

Install in your client

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

Supported in Claude Desktopstdio, sse, http · Node 18+

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

{
  "mcpServers": {
    "io-github-louis49-melchizedek": {
      "args": [
        "-y",
        "melchizedek-server"
      ],
      "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-louis49-melchizedek)](https://mcppedia.org/s/io-github-louis49-melchizedek)

Read me

What io.github.louis49/melchizedek 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 'melchizedek-server' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

Melchizedek

Persistent memory for Claude Code. Automatically indexes every conversation and provides production-grade hybrid search (BM25 + vectors + reranker) via MCP tools. 100% local, zero config, zero API keys, zero invoice.

Why Melchizedek?

Claude Code forgets everything between sessions - and knows nothing about your other projects. Melchizedek fixes both.

It runs silently in the background - indexing your conversations as you work - then gives Claude the ability to search across your entire history, across all projects: past debugging sessions, architectural decisions, error solutions, code patterns.

No cloud. No API keys. No config. Plug and ask.

How it works

~/.claude/projects/**/*.jsonl       (your conversation transcripts - read-only)
        |
        v
  SessionEnd hook                   (auto-triggers after each session)
        |
        v
  +-----------------+
  |  Indexer         |    Parse JSONL -> chunk pairs -> SHA-256 dedup
  |  (better-sqlite3)|    FTS5 tokenize -> vector embed (optional)
  +-----------------+
        |
        v
  ~/.melchizedek/memory.db           (single SQLite file, WAL mode)
        |
        v
  +-----------------+
  |  MCP Server      |    16 search & management tools
  |  (stdio)         |    Hybrid: BM25 + vectors + RRF + reranker
  +-----------------+
        |
        v
  Claude Code                       (searches your history via MCP)

Search pipeline - 4 levels of graceful degradation

Every layer is optional. The plugin works with BM25 alone and gets better as more components are available.

Level	Component	What it adds	Dependency
1	BM25 (FTS5)	Keyword search with stemming	None (always active)
2	Dual vectors (sqlite-vec)	Semantic search - text (MiniLM 384d) + code (Jina 768d)	`@huggingface/transformers` (optional)
3	RRF fusion	Merges BM25 + text vectors + code vectors via Reciprocal Rank Fusion	Vectors enabled
4	Reranker	Cross-encoder re-scoring of top results	Transformers.js or node-llama-cpp (optional)

Performance

Measured with npm run bench - 100 sessions, 1 000 chunks, on a single SQLite file.

Metric	Result	Target
Indexation (100 sessions)	~80 ms	< 10 s
BM25 search (mean)	~0.2 ms	< 50 ms
DB size (100 sessions)	~1.4 MB	< 30 MB
Tokens per search	~125	< 2 000

Quick Start

npm (recommended)

npm install -g melchizedek

Add the MCP server to Claude Code:

claude mcp add --scope user melchizedek -- melchizedek-server

npx (no install)

claude mcp add --scope user melchizedek -- npx melchizedek-server

From source

git clone https://github.com/louis49/melchizedek.git
cd melchizedek && npm install && npm run build
claude --mcp-config .mcp.json

Claude Code plugin marketplace (coming soon)

Plugin review pending. In the meantime, use npm or npx install above.

claude plugin install melchizedek   # not yet available

Setting up hooks (automatic indexing)

The MCP server provides search tools, but hooks trigger automatic indexing. Without hooks, y

... 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

55/100across 5 weighted dimensions

How we score →

0255075100

−45

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked melchizedek-server against OSV.dev.

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.louis49/melchizedek safe to use?: io.github.louis49/melchizedek 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.louis49/melchizedek?: io.github.louis49/melchizedek 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 AI clients work with io.github.louis49/melchizedek?: io.github.louis49/melchizedek is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.louis49/melchizedek actively maintained?: io.github.louis49/melchizedek is actively maintained — last commit was 8 days ago. It has 7 GitHub stars.

Similar servers

Others in ai-ml / productivity

View all →

Sequential Thinking MCP Server96

Dynamic problem-solving through sequential thought chains

87.8k 1

Antigravity Workspace Template96

Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.

1.3k 2

Memory MCP Server96

Persistent memory using a knowledge graph

87.8k 5

Context Mode95

Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.

18.3k 6

MCP Security Weekly

Get CVE alerts and security updates for io.github.louis49/melchizedek and similar servers.

Community