Densely MCP Server

Lossless context compression for LLMs. Pack any text into 2x–8x fewer tokens with guaranteed byte-exact reconstruction - verified by sha256 on every decompress. It runs locally over stdio via the published package.

People connecting AI & ML tools to Claude, Cursor, VS Code, or another MCP client. The project is written in Python.

VERIFIED ACTIVE

LAST COMMIT 2026-08-13 · ★ 6 · #44 OF 95 MAINTAINED AI & ML · VERIFIED 2026-08-25

MIT · Python servers · how we verify → /methodology

01 · Install Densely

Claude Code

claude mcp add alibaizhanov-densely -- uvx densely

Claude Desktop / Cursor / VS Code - add to config

{
  "mcpServers": {
    "alibaizhanov-densely": {
      "command": "uvx",
      "args": [
        "densely"
      ]
    }
  }
}

Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.

Using another client? Same JSON, different key

Claude Desktop · mcpServers

Cursor · mcpServers

VS Code · servers

Windsurf · mcpServers

Zed · context_servers

Cline · mcpServers

Roo Code · mcpServers

Continue · mcpServers

LibreChat · mcpServers

Gemini CLI · mcpServers

Codex CLI · mcp_servers

Full setup guides: every client.

02 · Evidence

Security posture

What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.

runs as local process (stdio) - runs on your machine with your user's permissions

repo age created 2026-08-07 - young repo, little track record yet

license MIT - declared in the repository

pypi package densely - check the name against the project README before installing (PyPI has no namespace ownership)

registry namespace io.github.alibaizhanov is GitHub-verified and matches the repo owner

03 · What Densely can do

Prose above is summarized from the project's README and registry record - no invented capabilities.

Latest releases

v0.2.1 · 2026-08-11

0.2.1 · Listed in the official MCP Registry (io.github.alibaizhanov/densely) - installable discovery via MCP clients; PulseMCP and other directories ingest from it · Measured on real-world data - live count_tokens…

04 · Who maintains Densely

densely is maintained by alibaizhanov. We track 2 MCP servers from alibaizhanov - 2 actively maintained, 195 combined GitHub stars, oldest repo from Feb 2026. Full record: all servers from alibaizhanov.

mengram Long-term memory for AI agents: semantic facts, episodic events, and procedural workflows ★ 189

05 · Facts

repository: github.com/alibaizhanov/densely
category: AI & ML - ranked #44 of 95 actively-maintained AI & ML servers as of 2026-08-25.
release cadence: 1 release in the last 90 days (latest 2026-08-11)
registry: io.github.alibaizhanov/densely (active, first published 2026-08-11)
packages: pypi:densely

06 · Densely FAQ

What is Densely?

Is Densely still maintained?

Yes - as of 2026-08-25, its last commit was 2026-08-13 and it shipped 1 release in the last 90 days. We re-verify nightly.

How do I install Densely?

Run `uvx densely`. You can also paste the ready-made client config above.

Does Densely run locally?

Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.

07 · Alternatives to Densely

Alternatives to Densely

Maintained AI & ML servers if Densely isn't the fit.

Pairs well with

Servers that cover what Densely doesn't - only shown when the pairing reason fits the companion.

More AI & ML MCP servers · Arbor · Datoon · Docsift · Agentguard47 · Calibre MCP

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