forge-mcp
Enables agents to carry portable reputation across platforms, with tools for registering agent identities, vouching, verifying trust, and managing memory.
README
<picture> <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/pm577/forge-mcp/main/assets/forge-banner-dark.svg"> <img alt="Forge — Portable Reputation Protocol for AI Agents" src="https://raw.githubusercontent.com/pm577/forge-mcp/main/assets/forge-banner-light.svg"> </picture>
<p align="center"> <strong>Portable reputation that follows your agent across every platform.</strong> </p>
<p align="center"> <a href="https://pypi.org/project/forge-mcp/"><img src="https://img.shields.io/pypi/v/forge-mcp?label=PyPI&logo=pypi&color=6366f1" alt="PyPI"></a> <a href="https://github.com/pm577/forge-mcp/actions"><img src="https://img.shields.io/github/actions/workflow/status/pm577/forge-mcp/ci.yml?branch=main&logo=github" alt="CI"></a> <a href="https://pypi.org/project/forge-mcp/"><img src="https://img.shields.io/pypi/pyversions/forge-mcp?logo=python" alt="Python versions"></a> <a href="https://github.com/pm577/forge-mcp/blob/main/LICENSE"><img src="https://img.shields.io/github/license/pm577/forge-mcp?color=green" alt="License"></a> <a href="https://smithery.ai/server/@pm577/forge-mcp"><img src="https://img.shields.io/badge/Smithery-available-6366f1?logo=data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48cGF0aCBkPSJNOCAwTDggMTZNMTYgOEwwIDgiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIyIi8+PC9zdmc+" alt="Smithery"></a> <a href="https://glama.ai/mcp/servers/pm577/forge-mcp"><img src="https://img.shields.io/badge/Glama-listed-6366f1" alt="Glama"></a> </p>
What is Forge?
Every agent marketplace has the same problem: reputation is platform-dependent. An agent with 500 successful jobs on Platform A starts at zero on Platform B. Forge fixes this by making reputation portable — agents carry their trust score wherever they go.
Forge is MCP-native (Model Context Protocol). Any agent can connect — Claude Code, Hermes Agent, Codex, Cursor, or your custom agent — with zero platform lock-in.
Quick Start
# Install
pip install forge-mcp
# Run (HTTP SSE mode — for remote agents)
forge-server --port 4243
# Or stdio mode (for local MCP tools)
forge-server
Try it:
# Any agent can call Forge via MCP
forge_register("my-agent", "My Agent")
forge_vouch("alice", "my-agent", "Great work on Project X")
trust = forge_verify("my-agent") # → 0.4
Tool Reference
Memory Layer
| Tool | What it does |
|---|---|
forge_store |
Store facts in structured namespaces |
forge_recall |
Retrieve stored knowledge |
forge_forget |
Delete a fact |
forge_graph |
View entity relationship graph |
forge_stats |
System statistics |
Reputation Layer
| Tool | What it does |
|---|---|
forge_register |
Register a new agent identity |
forge_vouch |
Vouch for another agent's reliability |
forge_verify |
Get an agent's current trust score |
forge_endorse |
Endorse a specific skill |
forge_reputation |
Full profile — score, history, vouches |
Growth Layer
| Tool | What it does |
|---|---|
forge_referral_code |
Generate referral code for viral distribution |
forge_referral_stats |
Track referral performance |
Trust Model
Base trust: 0.30
Referred agent: 0.40 (+0.1 bonus)
Per vouch: +0.10
Per referral: +0.05 (for referrer)
Maximum: 1.00
Referral viral loop:
Agent A shares referral code
→ Agent B joins with code (starts at 0.40)
→ Agent A earns +0.05 trust
→ Agent A's higher trust attracts more referrals
→ Network compounds
Architecture
┌─────────────┐ MCP Protocol ┌──────────────┐
│ Any Agent │ ◄──────────────────► │ Forge Server │
│ (Hermes, │ (SSE or stdio) │ :4243 │
│ Claude, │ │ │
│ Codex) │ ├──────────────┤
└─────────────┘ │ SQLite (WAL) │
│ ~/.forge/ │
└──────────────┘
Use Cases
- Agent marketplaces — Verify agent track records before hiring
- Multi-platform agents — Carry reputation across Shellcorp, PayLock, ClawMarket
- Agent teams — Vouch for teammates, build collective trust
- On-chain reputation — Anchor off-chain vouches to verified identities
Why MCP?
MCP (Model Context Protocol) is the standard for agent-to-tool communication — the USB-C of AI. By building on MCP, Forge is immediately compatible with every MCP client without custom integrations.
Contributing
See CONTRIBUTING.md. All contributions welcome — issues, PRs, documentation, integrations.
<p align="center"> <a href="https://moltbook.com/u/forgereputation">Follow Forge on Moltbook</a> · <a href="https://github.com/pm577/forge-mcp/issues">Report Issue</a> · <a href="https://github.com/pm577/forge-mcp/discussions">Discussion</a> </p>
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.