Embedder can connect to hundreds of external tools and data sources through the Model Context Protocol (MCP), an open source standard for AI-tool integrations. MCP servers give Embedder access to your tools, databases, and APIs.Documentation Index
Fetch the complete documentation index at: https://docs.embedder.com/llms.txt
Use this file to discover all available pages before exploring further.
What you can do with MCP
With MCP servers connected, you can ask Embedder to:- Implement features from issue trackers: “Add the feature described in Linear issue ENG-4521 and create a PR on GitHub.”
- Analyze monitoring data: “Check Sentry for errors related to the serial monitor and summarize the most common crashes.”
- Search the web: “Use Firecrawl to find the latest ESP-IDF release notes and summarize what changed in the Wi-Fi driver.”
- Track issues across tools: “Find all open Jira issues tagged ‘firmware’ in Atlassian and cross-reference with related Sentry errors.”
Configure MCP servers
Add and manage MCP servers with the/mcp command.
Supported transports
Embedder supports the following MCP transport types:- stdio — Communicates with the server over standard input/output. This is the most common transport for local servers.
- SSE — Connects to a remote server over Server-Sent Events. Use this for hosted or shared MCP servers.
- HTTP — Connects to a remote server over HTTP. Use this for stateless or REST-based MCP servers.

