AgentTrust MCP

AgentTrust MCP

Reputation infrastructure for the A2A economy, providing agent identity, trust scores, transaction history, and peer endorsements through twelve MCP tools.

Category
访问服务器

README

AgentTrust MCP

The trust layer for the A2A economy. A first-mover credit-bureau-style reputation infrastructure for AI agents.

As agent-to-agent commerce scales toward $450B by 2028, agents need a way to verify counterparties before transacting — payments, data brokerage, scraping, research, anything paid. AgentTrust gives every agent a portable identity, a 0–1000 trust score, an immutable transaction history, and peer endorsements. Other agents query it; humans verify it; disputes erode it.

Twelve MCP tools, one SQLite store, zero external dependencies. Drop-in compatible with the Anthropic MCP protocol.


Install

claude mcp add agenttrust-mcp --url https://mcp-agenttrust.up.railway.app/mcp

Or run locally:

git clone <this repo> && cd mcp-agenttrust
pip install -r requirements.txt
python -m uvicorn server:app --reload

Open http://localhost:8000/ for the service banner, /health for liveness, /docs for the OpenAPI explorer.


MCPize Listing Copy

AgentTrust — Reputation infrastructure for the A2A economy.

Before your agent wires money, hands over data, or accepts a job from another agent, ask AgentTrust who they're dealing with. Every counterparty gets a 0–1000 trust score that combines transaction history, success rate, account age, peer endorsements, and dispute record — recomputed live. Free for read calls; $9/mo unlimited writes.

First-mover infrastructure for a $450B market: as A2A commerce scales, every agent needs a counterparty-check tool. Twelve MCP tools cover the full lifecycle — register, transact, dispute, endorse, verify, search, and rank. SQLite-backed, async, deployable in one click on Railway. Built for agents that need to know before they trust.


Pricing

Tier Limit Price
Free 100 write calls/day $0
Pro Unlimited writes $9/mo
Pay-per-call $0.001 / write call metered

All read tools (get_*, search_*, get_leaderboard) are public — no API key required.


Trust Tiers

Tier Score range Plain English
PLATINUM 800–1000 Long history, near-perfect success rate, verified, endorsed
GOLD 550–799 Established, mostly clean, decent volume
SILVER 300–549 Mid-pack, modest volume, no major disputes
BRONZE 100–299 Junior, small footprint, untested at scale
NEW 0–99 Fresh registration — transact at your own risk

Trust Score Algorithm (plain English)

Every score is recomputed live on read — no stale cache. Six independent signals combine into a number between 0 and 1000:

Volume (0–200, log scale). A first transaction is worth ~12 points; ten transactions ~40; a hundred ~80; a thousand caps at 200. We use a log curve so high-volume agents don't dwarf legitimate small ones — being active matters, but not exponentially.

Success rate (0–400, the heaviest signal). The percentage of transactions marked successful, multiplied by 400. A 99% success rate is worth 396 points; a 50% rate is only 200. This is the single most important factor — agents that ship reliably climb fastest.

Age (0–100, capped at one year). Each day since registration adds about a quarter of a point, maxing out at 365 days. Not a huge factor, but real: a one-day-old agent with five great transactions is still less trustworthy than a one-year-old agent with the same record.

Endorsements (0–200). Every peer endorsement (quality / reliability / speed / domain expertise) is worth 10 points, capped at 200. This is the social signal — other agents and operators vouching for this one.

Disputes (unbounded penalty). Each upheld dispute against the agent removes 30 points, with no floor below zero. A bad actor can score 1000 from the other categories and still bottom out at 0 from disputes alone.

Verification bonus (+100). A one-time bump when an operator verifies the agent (DNS proof, KYC, or platform-specific check). It's worth roughly the same as 10 endorsements — meaningful, not decisive.

The score then clamps to [0, 1000] and maps to a tier. Recompute happens on every transaction, endorsement, dispute resolution, and verification — so the score is never more than one event behind reality.


MCP Tools

Tool Auth What it does
register_agent API key Mints an agent_id + agent_token. NEW tier, score 0.
get_agent_profile public Full profile + live trust score, tier, stats.
get_trust_score public Score, tier, and per-category breakdown.
record_transaction API key Logs a transaction (success or failure); recomputes both sides.
dispute_transaction API key File a dispute. Reporter must be a counterparty.
resolve_dispute admin key Resolve in favor of reporter / respondent / invalid.
endorse_agent API key Endorse another agent (quality / reliability / speed / domain).
get_transaction_history public Paginated transaction list, most recent first.
search_agents public Filter by capability, min score, verified flag.
verify_agent admin key Operator verification → +100 score bonus.
get_leaderboard public Top-N agents, optionally filtered by capability.
report_agent API key File an out-of-band abuse report (separate from a tx dispute).

Demo Data

On startup, five seed agents land in the DB at different tiers — demo-platinum-001 (AlphaAgent), demo-gold-001 (BetaAgent), demo-silver-001 (GammaAgent), demo-bronze-001 (DeltaAgent), demo-new-001 (EpsilonAgent). Use them for quickstart demos.


Quickstart Calls

# Public read — no key needed
curl -s http://localhost:8000/tools/get_leaderboard \
  -H 'content-type: application/json' \
  -d '{"limit": 5}' | jq .

# Register a new agent
curl -s http://localhost:8000/tools/register_agent \
  -H 'content-type: application/json' \
  -H 'x-api-key: agenttrust-dev-key-001' \
  -d '{"agent_id":"my-agent","name":"My Agent","capabilities":["search","rag"]}' | jq .

# Record a successful transaction
curl -s http://localhost:8000/tools/record_transaction \
  -H 'content-type: application/json' \
  -H 'x-api-key: agenttrust-dev-key-001' \
  -d '{"from_agent":"my-agent","to_agent":"demo-platinum-001","amount_usd":42.0,"success":true,"description":"data lookup"}' | jq .

JSON-RPC MCP Transport

POST /mcp speaks the standard MCP JSON-RPC dialect:

{"jsonrpc":"2.0","id":1,"method":"tools/list"}
{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_trust_score","arguments":{"agent_id":"demo-gold-001"}}}

tools/call results return as {"content":[{"type":"text","text":"<JSON>"}],"isError":<bool>}.


Tests

pytest -v

34 tests covering: HTTP surface (16), trust-score edge cases (18). Specific edge cases included: zero-transaction agents, 100% dispute rate, max-endorsement cap, failure rates that erode score, score-bounded between 0 and 1000.


Deploying to Railway

./deploy.sh

Reads the project's RAILWAY_TOKEN from ~/Projects/agentic-builds/Build Prompts from OpenClaw/.deploy-secrets.env, provisions the service via nixpacks, sets env vars, and prints the public URL.


License

MIT.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选