embecode
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_codeA | Search the codebase using keyword, semantic, or hybrid search. Args: query: Search query string (natural language or code). mode: Search mode - "semantic" for vector search, "keyword" for BM25, or "hybrid" for RRF fusion of both (default). top_k: Number of results to return (default: 10). path: Optional path prefix filter (e.g., "src/", "apps/ui/"). Returns: List of concise chunk results with file_path, language, start_line, end_line, definitions, preview, and relevance score. |
| index_statusA | Get current index status. Returns: Dictionary with: - files_indexed: Number of files that have been indexed - total_chunks: Total number of chunks in the index - embedding_model: Name of the embedding model in use - last_updated: ISO timestamp of last index update - is_indexing: Whether indexing is currently in progress - current_file: Current file being indexed (if is_indexing=True) - progress: Progress as a fraction 0-1 (if is_indexing=True) |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jdtzmn/embecode'
If you have feedback or need assistance with the MCP directory API, please join our Discord server