Kordic CRM

io.github.meelad-diggit由 GitHub 账号 meelad-diggit 发布v1.0.0更新于 Oct 24, 2026

CRM integration for leads, pipeline, contacts, accounts, payments, and sales analytics.

已验证Streamable HTTP可网页运行商业与电商

概览

AI 生成的概览

Kordic CRM 是一个远程 MCP 服务器,让助手处理 CRM 线索、销售管道、联系人、客户账户、付款和销售分析。

可以做什么
处理线索和销售管道,例如查看或推进商机阶段(依据描述,清单未列出工具,具体操作未确认)。管理 CRM 中的联系人和客户账户。处理付款并查看销售分析数据。通过托管端点 mcp.kordic.io 访问,而非本地安装包。
适用场景
当你希望 AI 助手在对话中读取或更新 Kordic CRM 记录、跟进线索,或获取销售与付款数据,而不必切换到 CRM 界面时使用。
运行要求
支持 streamable HTTP 的远程 MCP 客户端、访问 mcp.kordic.io 的网络连接,以及通过 OAuth 登录 Kordic CRM 账户。未声明环境变量或请求头。
安装前请注意
OAuth 授权会让助手访问你的 CRM 数据,其中很可能包含客户联系方式和付款信息。清单未列出工具,因此哪些操作是读取、哪些会写入、发送或删除记录在此没有说明;在允许其修改管道或付款数据前请先确认。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Kordic CRM,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.meelad-diggit%2Fkordic-crm/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "kordic-crm": {
      "type": "http",
      "url": "https://mcp.kordic.io/mcp"
    }
  }
}

README

MCP Registry

The MCP registry provides MCP clients with a list of MCP servers, like an app store for MCP servers.

📤 Publish my MCP server | ⚡️ Live API docs | 👀 Ecosystem vision | 📖 Full documentation

Development Status

2025-10-24 update: The Registry API has entered an API freeze (v0.1) 🎉. For the next month or more, the API will remain stable with no breaking changes, allowing integrators to confidently implement support. This freeze applies to v0.1 while development continues on v0. We'll use this period to validate the API in real-world integrations and gather feedback to shape v1 for general availability. Thank you to everyone for your contributions and patience—your involvement has been key to getting us here!

2025-09-08 update: The registry has launched in preview 🎉 (announcement blog post). While the system is now more stable, this is still a preview release and breaking changes or data resets may occur. A general availability (GA) release will follow later. We'd love your feedback in GitHub discussions or in the #registry-dev Discord (joining details here).

Registry Working Group:

Contributing

We use multiple channels for collaboration - see modelcontextprotocol.io/community/communication.

Often (but not always) ideas flow through this pipeline:

  • Discord - Real-time community discussions
  • Discussions - Propose and discuss product/technical requirements
  • Issues - Track well-scoped technical work
  • Pull Requests - Contribute work towards issues

Quick start:

Pre-requisites
Running the server
bash
# Start full development environmentmake dev-compose

This starts the registry at localhost:8080 with PostgreSQL. The database uses ephemeral storage and is reset each time you restart the containers, ensuring a clean state for development and testing.

Note: The registry uses ko to build container images. The make dev-compose command automatically builds the registry image with ko and loads it into your local Docker daemon before starting the services.

By default, the registry seeds from the production API with a filtered subset of servers (to keep startup fast). This ensures your local environment mirrors production behavior and all seed data passes validation. For offline development you can seed from a file without validation with MCP_REGISTRY_SEED_FROM=data/seed.json MCP_REGISTRY_ENABLE_REGISTRY_VALIDATION=false make dev-compose.

The setup can be configured with environment variables in docker-compose.yml - see .env.example for a reference.

Alternative: Running a pre-built Docker image

Pre-built Docker images are automatically published to GitHub Container Registry. Note that the image does not bundle PostgreSQL, so you need to run your own and point the registry at it via MCP_REGISTRY_DATABASE_URL (see docker-compose.yml for a working example):

bash
# Run latest stable releasedocker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:latest
# Run latest from main branch (continuous deployment)docker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main
# Run specific release versiondocker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:v1.0.0
# Run development build from main branchdocker run -p 8080:8080 ghcr.io/modelcontextprotocol/registry:main-20250906-abc123d

Available tags:

  • Releases: latest, v1.0.0, v1.1.0, etc.
  • Continuous: main (latest main branch build)
  • Development: main-<date>-<sha> (specific commit builds)
Publishing a server

To publish a server, we've built a simple CLI. You can use it with:

bash
# Build the latest CLImake publisher
# Use it!./bin/mcp-publisher --help

See the publisher guide for more details.

Other commands
bash
# Run lint, unit tests and integration testsmake check

There are also a few more helpful commands for development. Run make help to learn more, or look in Makefile.

Architecture

Project Structure

├── cmd/                     # Application entry points│   └── publisher/           # Server publishing tool├── data/                    # Seed data├── deploy/                  # Deployment configuration (Pulumi)├── docs/                    # Documentation├── internal/                # Private application code│   ├── api/                 # HTTP handlers and routing│   ├── auth/                # Authentication (GitHub OAuth, JWT, namespace blocking)│   ├── config/              # Configuration management│   ├── database/            # Data persistence (PostgreSQL)│   ├── service/             # Business logic│   ├── telemetry/           # Metrics and monitoring│   └── validators/          # Input validation├── pkg/                     # Public packages│   ├── api/                 # API types and structures│   │   └── v0/              # Version 0 API types│   └── model/               # Data models for server.json├── scripts/                 # Development and testing scripts├── tests/                   # Integration tests└── tools/                   # CLI tools and utilities    └── validate-*.sh        # Schema validation tools

Authentication

Publishing supports multiple authentication methods:

  • GitHub OAuth - For publishing by logging into GitHub
  • GitHub OIDC - For publishing from GitHub Actions
  • DNS verification - For proving ownership of a domain and its subdomains
  • HTTP verification - For proving ownership of a domain

The registry validates namespace ownership when publishing. E.g. to publish...:

  • io.github.domdomegg/my-cool-mcp you must login to GitHub as domdomegg, or be in a GitHub Action on domdomegg's repos
  • me.adamjones/my-cool-mcp you must prove ownership of adamjones.me via DNS or HTTP challenge

Community Projects

Check out community projects to explore notable registry-related work created by the community.

More documentation

See the documentation for more details if your question has not been answered here!

来源:README.md,提交 cbb4563

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

已满足适用检查项的 75%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

    请在仓库或注册中心条目中声明许可证。