Model Context Protocol (MCP) Server for the *@inkeep/agents-mcp* API.
Model Context Protocol (MCP) Server for the @inkeep/agents-mcp API.
Build AI Agents with a No-Code Visual Builder or TypeScript SDK. Agents can be edited in either with full 2-way sync, so technical and non-technical teams can create and manage Agents in one platform.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| agents-api | An API that handles configuration of Agents, Sub Agents, MCP Servers, Credentials, and Projects with a REST API. Additionally, it exposes Agent execution and evaluation. The API tracks conversation state and emits OTEL t |
| agents-manage-ui | Visual Builder web interface for creating and managing Agents. Writes to the agents-api. |
| agents-sdk | TypeScript SDK (@inkeep/agents-sdk) for declaratively defining Agents and custom tools in code. Writes to agents-api. |
| agents-cli | Includes various handy utilities, including inkeep push and inkeep pull which sync your TypeScript SDK code with the Visual Builder. |
| agents-ui | A UI component library of chat interfaces for embedding rich, dynamic conversational AI experiences in web apps. |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Excel数据处理微服务
Move npm publishing in GitHub Actions from NPM_TOKEN to trusted publishing (OIDC).
A DynamoDB emulator with an MCP server exposing 35 DynamoDB tools to coding agents.
These MCP experiments are a playground for better understanding the technology.