Neurohive MCP server

by AdelElo13·io.github.AdelElo13/neurohive·v1.0.2·1 stars

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Multi-agent memory intelligence with expertise tracking and conflict detection

B82/100grade B

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B82/100

full report

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1 stars66 downloads/wk

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

Neurohive tools (16, 3 write)

write = sends, deletes, buys or posts

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

backfill_embeddings
Recompute embeddings for all memories missing from the vector store. Also syncs FTS index.
consolidatewrite action
Run consolidation: merge near-duplicates, decay stale memories, prune low-value, sweep expired, purge old tombstones. Set commit=true to apply.
create_entitywrite action
Create or update an entity in the knowledge graph.
create_relationwrite action
Create a typed relation between two entities in the knowledge graph.
export_memories
Export memories as JSONL or JSON for backup or migration.
forget_memory
Tombstone (soft-delete) memories matching the given filters. At least one filter is required.
hivemind_conflicts
List unresolved conflicts between agent memories, or resolve a specific conflict by ID.
hivemind_expertise
Query agent expertise. Provide a topic to find top experts, an agent_id to see their profile, or neither for all expertise.
hivemind_status
Get the neurohive dashboard: total memories, agents, categories, recent activity, and conflict count.
import_memories
Import memories from JSONL or JSON data. Deduplicates by content hash.
memory_stats
Get statistics about stored memories: counts, categories, trust levels, importance, and database size.
query_graph
Traverse the knowledge graph starting from an entity.
recall_memory
Recall memories by ID, namespace, category, or tags without semantic search.
search_claims
Search atomic claims extracted from memories.
search_memory
Search memories using hybrid vector + full-text search with RRF ranking, graph boost, cognitive priming, and neurohive annotations.
store_memory
Store a new memory with semantic deduplication, contradiction detection, surprise scoring, entity extraction, and neurohive expertise tracking.

Public scan report

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

no findings

Code scan4 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 qualitylocal package, no credentials required12/15
Maintenancelast push 164 days ago8/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How Neurohive compares

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

Safety score: 82/100; higher than 65% of 4,460 AI and agents servers
Tools: 16; the typical AI and agents server has 6
Tools that change things: 19%; typical: 0%. Fewer write tools means less an agent can break
GitHub stars: 1; more than 50% of 2,711 AI and agents servers
Downloads a week: 66; more than 52% of 1,538 AI and agents servers with a package

What its tools let an agent do: 12 read · 3 create · 1 change

Install Neurohive in Claude Code, Cursor or VS Code

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

claude mcp add neurohive -- npx -y neurohive

Add to Cursor

What the publisher says

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

neurohive

Multi-agent memory intelligence — shared knowledge, expertise tracking, and conflict detection for AI agent teams.

Why

AI agents in teams forget everything and don't share knowledge. Multiple agents working on the same project re-discover the same facts, contradict each other, and have no collective memory. One agent learns the API timeout is 30 seconds; another assumes 60. Both conclusions sit in separate sessions, never compared.

neurohive wraps neuromcp with a shared intelligence layer. Every memory stored by any agent becomes visible to the team. Searches come back annotated with who discovered what and when. New agents onboard with the team's existing knowledge already loaded. Contradictions get flagged before they cause incidents.

Before & After

Quick Start

npx neurohive

Drop-in replacement for npx neuromcp. Use the same MCP config — just swap the command. All neuromcp tools and resources are available unchanged, plus three new neurohive tools, five new resources, and automatic cross-agent annotation.

Features

Cross-Agent Annotations

Every search result is annotated with provenance: which agent stored it, how long ago, and how many times it's been retrieved. Agents can see at a glance whether a memory came from a trusted teammate or an unknown source.

Agent Priming

When an agent starts up, it reads the hivemind://priming resource to load the team's top knowledge, recent activity, and known gaps. No cold starts.

Expertise Tracking

Every time an agent stores a memory, neurohive updates that agent's expertise profile — tracking which categories they contribute to most. Use hivemind_expertise to route questions: "who knows the most about authentication?"

Conflict Detection

When two agents store contradictory claims about the same fact, neurohive flags it as a conflict. Conflicts surface in hivemind_conflicts and in the dashboard so the team can resolve them explicitly rather than letting stale data propagate silently.

Dashboard

A single command gives a live view of the collective knowledge base: total memories, active agents, top categories, recent activity, unresolved conflicts, and knowledge gaps.

Installation

Claude Code

{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": ["neurohive"],
      "env": {
        "HIVEMIND_COMPANY": "my-project",
        "HIVEMIND_AGENT": "Agent-Backend",
        "HIVEMIND_AGENT_ROLE": "backend"
      }
    }
  }
}

Claude Desktop

{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": ["-y", "neurohive"],
      "env": {
        "HIVEMIND_COMPANY": "my-project",
        "HIVEMIND_AGENT": "Agent-Frontend"
      }
    }
  }
}

Cursor

{
  "mcpServers": {
    "neurohive": {
      "command": "npx",
      "args": ["neurohive"],
      "env": {
        "HIVEMIND_COMPANY": "my-project",
        "HIVEMIND_AGENT": "Cursor-Agent"
      }
    }
  }
}

Paperclip Mode

Shortened. The full README is on GitHub.

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

Neurohive: common questions

Is Neurohive MCP server safe?: Mostly: it is graded B (82/100). Read the Neurohive safety report
How do I install Neurohive?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Neurohive need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Neurohive maintained?: The last commit was 202 days ago (2026-04-16). The latest release is v1.0.2.
What can I use instead of Neurohive?: Servers from other publishers that do the same job: Basic Memory MCP server, PaperBanana MCP server and IWE (iwe.md) MCP server.
How does Neurohive compare with other AI and agents MCP servers?: safety score 82/100 (higher than 65% of 4,460 AI and agents servers); tools 16 (the typical AI and agents server has 6); tools that change things 19% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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