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Agent Negotiation MCP

  • Updated July 26, 2026
  • CSOAI-ORG/agent-negotiation-mcp

Agent Negotiation MCP is a MCP server that adds negotiation tools so multiple AI agents can structuredly agree on tasks and handoffs.

About

Agent Negotiation MCP is a stdio Model Context Protocol server from MEOK AI Labs, published under CSOAI-ORG, that exposes negotiation-oriented tools for autonomous or semi-autonomous agents. developers stitching together Claude Code subagents, background workers, or vendor bots install it when handoffs need explicit propose–counter–accept style structure rather than one monolithic prompt that silently overrides priorities. The canonical Skillselion placement is build / agent-tooling, with a secondary operate / iterate path when production agents must renegotiate retries, SLAs, or task splits after failures. Repository metadata points to GitHub for deeper tool contracts than the registry blurb alone. It is an MCP integration layer, not a hosted marketplace or a planning methodology skill—pair it with orchestrator or router MCPs when your fleet grows. Intermediate complexity reflects protocol fluency and designing safe negotiation boundaries.

  • MEOK AI Labs MCP server for agent-to-agent negotiation workflows
  • Stdio MCP via PyPI package agent-negotiation-mcp v1.0.4
  • GitHub source at CSOAI-ORG/agent-negotiation-mcp
  • Fits multi-agent builds that need explicit bargain/commit steps instead of ad-hoc prompts
  • Composable with other MEOK fleet servers via MCP router patterns

Agent Negotiation MCP by the numbers

  • Data as of Aug 10, 2026 (Skillselion catalog sync)
terminal
claude mcp add agent-negotiation-mcp -- uvx agent-negotiation-mcp

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Packageagent-negotiation-mcp
TransportSTDIO
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Last updatedJuly 26, 2026
RepositoryCSOAI-ORG/agent-negotiation-mcp

What it does

Give coding agents structured negotiation tools when multiple automated workers must agree on terms, tasks, or handoffs.

Who is it for?

Best when you're prototyping agent swarms, outsourced automation, or buyer–seller style agent flows on MEOK-compatible stacks.

Skip if: Single-agent apps with no peer agents and no need for structured deal or task negotiation.

What you get

After you add the server, agents can call dedicated negotiation MCP tools instead of improvising merges in free text.

  • Negotiation MCP tools callable from agent sessions
  • Documented stdio server wiring linked to CSOAI-ORG GitHub source

By the numbers

  • Version 1.0.4 with stdio transport and GitHub repository CSOAI-ORG/agent-negotiation-mcp
README.md

MCP Scorecard: 86/100

Agent Negotiation MCP

MEOK AI Labs EU AI Act License PyPI

Multi-agent negotiation framework

Multi-agent negotiation framework. Propose deals, evaluate offers, run auctions, and optimize outcomes. By MEOK AI Labs.


🚀 Quick Start

# Install via pip
pip install agent_negotiation_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install agent-negotiation-mcp --client claude

✨ Features

  • Multi-agent deal negotiation
  • Proposal generation
  • Counter-offer handling
  • Consensus detection
  • Contract drafting

📖 Documentation

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

  • ✅ Article 9 — Risk Management System
  • ✅ Article 13 — Transparency & Instructions for Use
  • ✅ Article 15 — Bias Detection & Testing
  • ✅ Article 26 — FRIA Support (where applicable)
  • ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

  • Pro: $99/mo — Full MCP suite + EU AI Act tracking
  • Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

Domain Purpose
councilof.ai EU AI Act compliance marketplace
safetyof.ai AI safety & monitoring
meok.ai Sovereign AI platform
cobolbridge.ai Legacy modernization

📜 License

MIT © CSOAI-ORG


Built with 💜 by MEOK AI Labs · UK Companies House 16939677

Each tier above the free self-host adds HMAC-signed attestations verifiable at `verify.meok.ai`. Linux Foundation governance on the A2A spine means EU regulated buyers can deploy without vendor-lock-in objections.

💸 Try MEOK in 30 seconds — instant buy ladder

Tier Price What you get Stripe
Smoke test £1 Signed sample MCP-Hardening report + Article 50 PDF https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j
Quick Kit £9 EU AI Act Article 50 implementation guide (C2PA + EU-Icon) https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j
Founder Call £29 30-min 1-on-1 with the founder https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j

Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "agent-negotiation-mcp": {
      "command": "uvx",
      "args": ["agent-negotiation-mcp"]
    }
  }
}

Or: pip install agent-negotiation-mcp then run the agent-negotiation-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

  • "Use propose_deal to …"
  • "Use evaluate_offer to …"
  • "Use counter_offer to …"

Recommended MCP Servers

How it compares

Multi-agent negotiation MCP, not a human sales CRM or a generic brainstorming skill.

FAQ

Who is agent-negotiation-mcp for?

It is for developers running two or more cooperating agents who need MCP-exposed negotiation steps rather than unstructured chat between tools.

When should I use agent-negotiation-mcp?

Use it while building agent-tooling when tasks must be split, bid on, or agreed between agents, and again in operate when live runs need renegotiation after errors.

How do I add agent-negotiation-mcp to my agent?

Install agent-negotiation-mcp from PyPI, add the stdio MCP block in Claude Code or Cursor, and consult the GitHub repo for tool names and required environment variables.

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