MCP.Market

Central Intelligence MCP server

by AlekseiMarchenko·io.github.AlekseiMarchenko/central-intelligence·v0.1.3·3 stars
No reviews yet

Persistent memory for AI agents. Store, recall, and share knowledge across sessions.

B72/100grade B
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
B72/100

full report

Adoption
New

3 stars

Reviews

Write one

Nobody has reviewed Central Intelligence yet.

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

Central Intelligence tools (5, 1 write)

write = sends, deletes, buys or posts

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

  • context

    Automatically retrieve relevant memories based on what you're currently working on. Use at the start of a session or when switching tasks to load relevant past context.

  • forgetwrite action

    Delete a specific memory by ID. Use when a stored memory is no longer accurate or relevant.

  • recall

    Search persistent memory for relevant past information. Use when you need to check if you've encountered something before, recall past context, retrieve user preferences, or access what was learned in previous sessions.

  • remember

    Store information in persistent memory for later recall. Use when you learn something that should be remembered across sessions — user preferences, project decisions, important facts, or anything you might need later.

  • share

    Share a memory with a broader scope so other agents can access it. Use when you learn something that would be valuable to other agents serving the same user or organization.

Public scan report

scanner v0.1.10 · 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 142 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Central Intelligence compares

Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
72/100
higher than 45% of 2,174 E-commerce servers
Tools
5
the typical E-commerce server has 6
Tools that change things
20%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
3
more than 85% of 1,047 E-commerce servers

What its tools let an agent do: 3 read · 1 change · 1 send or post

Install Central Intelligence in Claude Code, Cursor or VS Code

Runs npx -y central-intelligence-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add central-intelligence -- npx -y central-intelligence-mcp
Add to Cursor

What the publisher says

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

Central Intelligence

Agents forget. CI remembers.

Persistent memory for AI agents. Store, recall, and share information across sessions. Works with Claude Code, Cursor, LangChain, CrewAI, and any agent that supports MCP.

CI never rewrites your memories. Facts are extracted for search, but your content is always returned verbatim. No junk memories, no hallucinated rewrites, no data loss.

-52.2%25-6d5aff?style=for-the-badge) -22c55e?style=for-the-badge)

Quick Start (30 seconds)

# One command — gets API key + auto-configures your AI tools
npx central-intelligence-local signup

# Done. Your agent now has persistent memory.
# Restart Claude Code / Cursor / Windsurf to activate.

Or run locally with no cloud:

npm i -g central-intelligence-local && ci dashboard
# Installs and opens the dashboard at localhost:3141

When to Use Central Intelligence

Heuristic: If you would write it in a note to your future self, store it in Central Intelligence.

Don't store: secrets, passwords, API keys, PII, large binary files, or ephemeral scratch data.

The Problem

Every AI agent session starts from zero. Your agent learns your preferences, understands your codebase, figures out your architecture — then the session ends and it forgets everything. Next session? Same questions. Same mistakes. Same context-building from scratch.

Central Intelligence fixes this.

What It Does

Five MCP tools give your agent a long-term memory:

Benchmarks

LifeBench (2026) — Long-Term Multi-Source Memory

CI scores 52.2% on LifeBench, the hardest published memory benchmark (2,003 questions across 10 users, 51K real-world events including messages, calendar, health records, notes, and calls).

Shortened. The full README is on GitHub.

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

Central Intelligence: common questions

Is Central Intelligence MCP server safe?
Mostly: it is graded B (72/100). Read the Central Intelligence safety report
How do I install Central Intelligence?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Central Intelligence need an API key?
Yes. The registry entry asks for CI_API_KEY.
Is Central Intelligence maintained?
The last commit was 180 days ago (2026-05-08). The latest release is v0.1.3.
What can I use instead of Central Intelligence?
Servers from other publishers that do the same job: Mneme Memory MCP server, Kagura Memory Cloud MCP server and Delx Memory MCP server.
How does Central Intelligence compare with other E-commerce MCP servers?
safety score 72/100 (higher than 45% of 2,174 E-commerce servers); tools 5 (the typical E-commerce server has 6); tools that change things 20% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Central Intelligence

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

  • Mneme Memory
    Cross-session memory for AI coding agents via six tools; local-first SQLite store.
    A
  • Kagura Memory Cloud
    Persistent memory for AI assistants: store, search, and connect knowledge across conversations.
    A
  • Delx Memory
    Local-first persistent memory MCP: shared SQLite key/value store, searchable, TTL-aware, secret-safe
    A
  • Vectros AI
    Typed record store + hybrid search over MCP: deterministic lookups + semantic memory, per-customer.
    B
  • Apify
    Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
    A