Token-Efficient MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| execute_codeB | Execute code in sandboxed environment. Supports Python, Bash, Node.js. Now with heredoc support for bash scripts (<<EOF, <<'EOF', <<EOT). Achieves 98%+ token savings by processing in execution environment. |
| process_csvA | Process CSV files efficiently with filters, groupby aggregation, and pagination. Use offset for large files (>10K rows) to achieve 99% token savings. |
| process_logsC | Process log files efficiently with pattern matching and pagination. Use offset to skip previous matches. |
| list_token_efficient_toolsB | List available token-efficient tools with progressive disclosure (names_only, summary, full) |
| get_token_savings_reportB | Get detailed token savings report and optimization best practices |
| search_toolsC | Search available tools by keyword with optional category filter. Achieves 95% token savings vs loading all tool definitions. |
| batch_process_csvB | Process multiple CSV files in a single call with consistent filtering. Achieves 80% token savings for multiple files vs individual calls. |
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
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/ingpoc/token-efficient-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server