About agent-negotiation-mcp
agent-negotiation-mcp is an MCP server for multi-agent negotiations. It supports deal proposals, offer evaluation, auctions, consensus detection, and contract drafting.
Key features
- 01Multi-agent deal negotiation
- 02Proposal generation
- 03Counter-offer handling
- 04Consensus detection
- 05Contract drafting
Use cases
- 01Generating and reviewing deal proposals
- 02Responding to offers with counter-offers
- 03Detecting agreement among agents
MCP support
Exposes negotiation capabilities, including proposing deals, evaluating offers, and making counter-offers, to MCP clients.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.meok.ai/v1/a2a/negotiationclaude mcp add --transport http csoai-org-agent-negotiation https://api.meok.ai/v1/a2a/negotiation{"mcpServers":{"csoai-org-agent-negotiation":{"type":"http","url":"https://api.meok.ai/v1/a2a/negotiation"}}}Open in Cursor{"servers":{"csoai-org-agent-negotiation":{"type":"http","url":"https://api.meok.ai/v1/a2a/negotiation"}}}Open in VS Code{"mcpServers":{"csoai-org-agent-negotiation":{"type":"http","url":"https://api.meok.ai/v1/a2a/negotiation"}}}{"mcpServers":{"csoai-org-agent-negotiation":{"serverUrl":"https://api.meok.ai/v1/a2a/negotiation"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
Agent Negotiation MCP
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_dealto …" - "Use
evaluate_offerto …" - "Use
counter_offerto …"
Comments
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