Exir MCP Server

Exir MCP Server

A multi-tenant MCP gateway that connects AI agents to the Exir CRM API, enabling secure, permissioned access to customers, leads, tasks, invoices, and more through natural language.

Category
访问服务器

README

Exir MCP Server

A multi-tenant Model Context Protocol gateway that sits between MCP hosts (Claude, ChatGPT, or any other MCP-compatible agent) and the Exir CRM API (Perfex CRM under the hood).

                    ┌──────────────────────┐
                    │   ChatGPT / Agent     │
                    │ Claude / Other Host   │
                    └──────────┬────────────┘
                               │
                         MCP / HTTPS
                               │
                               ▼
              ┌────────────────────────────────┐
              │        Exir MCP Server          │
              │                                 │
              │ OAuth 2.1 / OIDC                │
              │ Tenant Resolver                 │
              │ Permission Engine               │
              │ Tool Registry                   │
              │ Audit Logger                    │
              │ Rate Limiter                    │
              │ Input Validation                │
              └───────────────┬─────────────────┘
                               │
                        Internal API
                               │
                               ▼
              ┌────────────────────────────────┐
              │          Exir CRM API           │
              │                                 │
              │ Customers / Leads / Sales       │
              │ Tasks / Projects / Tickets      │
              │ Invoices / Contracts / ...      │
              └───────────────┬─────────────────┘
                               │
                               ▼
                    ┌──────────────────┐
                    │ Customer Tenant   │
                    │ Data / Database   │
                    └──────────────────┘

How a request flows

  1. Transport — an MCP host sends a POST /mcp (Streamable HTTP) request with a Bearer access token.
  2. OAuth 2.1 / OIDC (src/auth/oidc.ts) — the token's signature, issuer, audience and expiry are verified against the identity provider's JWKS. Unverified tokens never reach anything below this layer.
  3. Tenant Resolver (src/tenant/tenantResolver.ts) — the tenant id is read from a claim on the verified token and mapped to that tenant's Exir CRM connection (base URL + API key). Requests can never cross tenant boundaries.
  4. Rate Limiter (src/middleware/rateLimiter.ts) — requests are throttled per tenant so one noisy caller cannot starve another on a shared deployment.
  5. Tool Registry (src/tools/) — the MCP server for this request is built by wrapping every registered tool (src/mcp/server.ts) with:
    • Permission Engine (src/permissions/permissionEngine.ts) — checks the token's OAuth scopes against the tool's required scope.
    • Input Validation — every tool declares a zod schema; invalid input is rejected before it reaches the CRM.
    • Audit Logger (src/audit/auditLogger.ts) — every call (allowed, denied, success, or error) is recorded with tenant, subject, tool name, and outcome.
  6. Internal API (src/crm/perfexClient.ts) — a tenant-scoped HTTP client calls the real Exir CRM API (Perfex CRM's REST API, authtoken header auth) and returns the result back up the chain as the tool's output.

Project layout

src/
  auth/oidc.ts            OAuth 2.1 / OIDC bearer-token verification
  tenant/tenantResolver.ts Tenant lookup + per-tenant CRM connection details
  permissions/permissionEngine.ts  Scope-based authorization
  audit/auditLogger.ts     Structured audit trail for every tool call
  middleware/rateLimiter.ts Per-tenant rate limiting
  crm/perfexClient.ts      Internal API client to the Exir CRM API
  tools/                   Tool Registry + one file per CRM domain
    customers.ts leads.ts tasks.ts invoices.ts
  mcp/server.ts            Wires tools -> permissions -> validation -> audit -> CRM
  http/app.ts              Express app: /healthz, POST /mcp
  index.ts                 Process entrypoint
tests/                     Vitest unit tests (permission engine, tool registry)

Getting started

npm install
cp .env.example .env   # fill in OIDC_ISSUER, CRM_API_BASE_URL, CRM_API_KEY, ...
npm run dev             # ts-node/tsx dev server on :3333

Build & run for production:

npm run build
npm start

Or via Docker:

docker compose up --build

Run tests:

npm test

Adding a new tool

  1. Add a registry.register({...}) call in the relevant file under src/tools/ (or a new file for a new CRM domain), with a name, description, requiredScope, a zod inputSchema, and a handler(crm, input) that calls the PerfexClient.
  2. If it's a new file, wire it into buildToolRegistry() in src/tools/index.ts.
  3. Add a test in tests/tools.test.ts asserting the tool is registered and its schema rejects bad input.

No changes are needed anywhere else — permissioning, validation, and auditing are applied generically to every registered tool by src/mcp/server.ts.

Multi-tenancy

src/tenant/tenantResolver.ts ships with an EnvTenantStore dev fallback that resolves every tenant id to the single CRM connection in .env. For real multi-tenant deployments, implement the TenantStore interface against your tenant directory (Postgres, a config service, etc.) mapping tenant id -> { baseUrl, apiKey }, and pass it into tenantResolver(myStore) in src/http/app.ts.

Security notes

  • The tenant id is only ever trusted from a claim on a cryptographically verified access token, never from a client-supplied header, unless TENANT_HEADER_FALLBACK=true is explicitly set for trusted internal-network callers (e.g. local development).
  • Per-tenant CRM API keys are never logged (src/logger.ts redacts Authorization, *.apiKey, *.token).
  • Every tool call is validated twice: once by the MCP SDK against the tool's JSON schema, and again by zod.safeParse inside the handler, before any CRM API call is made.
  • The server runs statelessly (sessionIdGenerator: undefined): a new MCP server instance is created per HTTP request, scoped to that request's verified tenant and permissions, so there is no shared session state that could leak across tenants.

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