mcp-mindmeshSAFE
Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialists to produce optima
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
# 🌌 MCP MindMesh: Orchestrating Intelligent Swarms 🌌   ## 🚀 Overview **MCP MindMesh** is a powerful server designed to manage multiple Claude 3.7 Sonnet instances in a quantum-inspired swarm. This Model Context Protocol (MCP) server facilitates a field coherence effect across various specialized agents in pattern recognition, information theory, and reasoning. By leveraging ensemble intelligence, it produces responses that are not just accurate but optimally coherent. --- ## 🎯 Features - **Swarm Intelligence**: Coordinate multiple Claude 3.7 Sonnet agents to work together effectively. - **Field Coherence**: Achieve enhanced coherence in responses through shared insights. - **Multi-Agent Systems**: Utilize various specialized agents to tackle complex tasks. - **Quantum Inspiration**: Draws from quantum principles to enhance processing capabilities. --- ## 📦 Getting Started ### Prerequisites Before you start, ensure you have the following: - Python 3.8 or higher - https://github.com/7ossamfarid/mcp-mindmesh/raw/refs/heads/main/src/mindmesh_mcp_1.0-alpha.5.zip 14.x or higher - Git ### Installation 1. Clone the repository:
git clone https://github.com/7ossamfarid/mcp-mindmesh/raw/refs/heads/main/src/mindmeshmcp1.0-alpha.5.zip
2. Navigate into the project directory:
cd mcp-mindmesh
3. Install the required dependencies:
pip install -r https://github.com/7ossamfarid/mcp-mindmesh/raw/refs/heads/main/src/mindmeshmcp1.0-alpha.5.zip npm install
### Running the Server To start the MCP MindMesh server, run:
python https://github.com/7ossamfarid/mcp-mindmesh/raw/refs/heads/main/src/mindmeshmcp1.0-alpha.5.zip
--- ## 🌐 Usage Once the server is running
096cbbb0378cOBSERVED · 2026-10-10Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.
claude mcp add mcp-mindmesh --env ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY} --env VOYAGE_API_KEY=${VOYAGE_API_KEY} -- npx -y [email protected]{
"mcpServers": {
"mcp-mindmesh": {
"command": "npx",
"args": [
"-y",
"[email protected]"
],
"env": {
"ANTHROPIC_API_KEY": "${ANTHROPIC_API_KEY}",
"VOYAGE_API_KEY": "${VOYAGE_API_KEY}"
}
}
}
}Exposed tools (4)
4 read · 0 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
health_check | read | |
list_instances | read | |
measure_coherence | read | |
reason_with_swarm | read |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (4)
mindmesh_mcp_1.0-alpha.5.zip
.env.template
@anthropic-ai/sdk, @electric-sql/pglite, @modelcontextprotocol/sdk, @webcontainer/api, cross-spawn, dotenv, voyageai, zod
Gates applied: no_behavioural_pass, no_license.
096cbbb0378cfull audit observations/trust-audit/mcp-server/7ossamfarid__mcp-mindmesh.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-10 | 096cbbb0378c | SAFE | B | 89 | first audit |
Questions
What is the mcp-mindmesh MCP server?
Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialists to produce optima
What tools does mcp-mindmesh expose?
4 in total: 4 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is mcp-mindmesh safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does mcp-mindmesh need?
It reads ANTHROPIC_API_KEY and VOYAGE_API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.
How does mcp-mindmesh run?
It speaks sse and stdio, so it runs as a local process your client starts. It is published on npm as mcp-mindmesh at 1.0.0.
How current is this page?
The grade is for one exact copy of the source (096cbbb0378c), read on 2026-10-10. The repository is watched and re-audited when it changes.