xmcp.dev valid
xmcp
xmcp is a framework for building and shipping MCP servers with TypeScript. Designed with DX in mind, it simplifies setup and removes friction in just one command — making it easy to build & deploy AI tools on top of the Model Context Protocol ecosystem.
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://xmcp.dev/llms.txt
- llms-full.txt
- https://xmcp.dev/llms-full.txt
- Sections
- 6
- Links
- 154
- Size
- 23683 bytes
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning · Developer tools
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-27T10:06:33.870Z
- Last checked
- 2026-10-27T10:06:35.126Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T10:06:33.877Z. Cached copy · Source on xmcp.dev
# xmcp
> xmcp is a framework for building and shipping MCP servers with TypeScript. Designed with DX in mind, it simplifies setup and removes friction in just one command — making it easy to build & deploy AI tools on top of the Model Context Protocol ecosystem.
## Docs
### Getting Started
- [Introduction](/docs): xmcp is a framework for building and shipping MCP servers with TypeScript. Designed with DX in mind, it simplifies setup and removes friction in just one command — making it easy to build & deploy AI tools on top of the Model Context Protocol ecosystem.
- [Installation](/docs/getting-started/installation): Set up your MCP server using automated scaffolding or manual installation, configure build scripts, and troubleshoot transport configurations
- [Connecting to your server](/docs/getting-started/connecting): Configure HTTP and STDIO transport connections for local development and production environments
- [Project structure](/docs/getting-started/project-structure): Explore the file-system based architecture with auto-discovery for tools, prompts, and resources, plus configuration options for custom directory layouts
### Configuration
- [Transports](/docs/configuration/transports): Customize the transport types for your MCP server.
- [Custom Directories](/docs/configuration/custom-directories): Customize where xmcp looks for tools, prompts, and resources.
- [Server Info](/docs/configuration/server-info): Customize the name, description, instructions, icons, and home page of your MCP server.
- [Component Visibility](/docs/configuration/components): Include or exclude components by name or tag, with generated UI resources following their tools.
- [Bundler](/docs/configuration/bundler): Extend the bundler configuration for your MCP server.
- [Execution Logs](/docs/configuration/observability): Enable structured execution logs for tools, prompts, and resources without logging their inputs or results.
- [Schema inference](/docs/configuration/schema-inference): Opt in to build-time tool schema inference while preserving runtime input validation.
- [Telemetry](/docs/configuration/telemetry): A condensed version of the telemetry policy with actionable opt-out instructions.
### Core Concepts
- [Tools](/docs/core-concepts/tools): Tools are functions that your LLM can actively call and decides when to use based on user requests. They enable AI models to perform actions such as writing to databases, calling external APIs, modifying files, or triggering other logic.
- [Request Context](/docs/core-concepts/request-context): Access request metadata, share local values, and report progress from MCP handlers, middleware, and their async helpers.
- [Prompts](/docs/core-concepts/prompts): Prompts are user-controlled instruction templates that enable structured, consistent interactions through parameterized workflows.
- [Resources](/docs/core-concepts/resources): Resources are application-driven, read-only data sources that provide context to AI m
…Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofastmcp.com | FastMCP | documentation AI agents and MCP Developer tools | US | 54 | ✓ | ✓ | |
| mcp-use.com | mcp-use | documentation AI agents and MCP Developer tools | — | 53 | ✓ | ✓ | |
| modelcontextprotocol.io | Model Context Protocol | documentation Developer tools AI agents and MCP +1 | US | 56 | ✓ | ✓ | |
| tachyonmcp.dev | Tachyon MCP | documentation Developer tools | — | 45 | ✓ | ✓ | |
| tadata.com | FastAPI MCP | documentation AI agents and MCP Developer tools | US | 50 | ✓ | ✓ | |
| mcphub.app | MCPHub Documentation | documentation AI agents and MCP Developer tools +1 | US | 45 | ✓ | ✓ | |
| frontmcp.dev | FrontMCP | documentation Developer tools AI agents and MCP | — | 45 | ✓ | ✓ | |
| mcpservers.org | Awesome MCP Servers | documentation AI and machine learning Developer tools +2 | — | 50 | ✓ |
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