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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
execute_mcp_toolA

Execute any available MCP tool through the proxy.

This is the universal gateway for calling MCP tools. The proxy spawns MCP servers on-demand and maintains a connection pool for efficient reuse. MCP configurations are read from ~/.claude.json or ~/.agentcockpit/mcps.json.

search_toolsA

Search tools by objective or description using semantic similarity.

Useful when you don't know the exact tool name but know what you want to do.

list_available_mcpsA

List all configured MCP servers and their connection status.

Returns the names of all MCP servers found in configuration, along with which ones have active connections.

get_learned_weightsA

View the learned weights from the search system.

Shows which tools have been selected and for which keywords, revealing how the system has learned from your selections.

reset_learned_weightsA

Reset all learned weights.

WARNING: This erases all accumulated learning.

refresh_tool_indexA

Refresh the tool index for semantic search.

Connects to MCP servers and retrieves their tool lists for indexing. Use after adding new MCPs. The index is auto-loaded on server startup.

close_mcp_connectionsA

Close all active MCP connections.

Use this to clean up resources when done with MCP tools. Connections will be re-established on next use.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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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/Rixmerz/proxy-mcp'

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