Algorate MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ALGORATE_ALLOW_CODE_EXECUTION | No | Set to '1' to enable execution tools that run user-supplied code. Disabled by default for safety. |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| register_algorithmC | Register a new algorithm to benchmark |
| register_implementationC | Register an implementation of an algorithm |
| register_test_caseB | Register a test case for benchmarking |
| run_benchmarkB | Run benchmark comparing all implementations of an algorithm |
| list_algorithmsA | List all registered algorithms |
| list_implementationsB | List implementations, optionally filtered by algorithm |
| list_test_casesA | List all registered test cases |
| get_resultsB | Get benchmark results for a specific implementation and test case |
| auto_detect_algorithmsC | Automatically detect algorithms in project files |
| auto_benchmarkC | Automatically run benchmarks for detected or registered algorithms |
| generate_chartC | Generate performance chart for benchmark results |
| query_performanceC | Query performance analysis with automatic benchmark and summary |
| benchmark_allB | Automatically detect all algorithms, run benchmarks, and return formatted results (ONE-CLICK BENCHMARK) |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 13 tools
The registration and listing tools are clearly distinct, but run_benchmark, auto_benchmark, query_performance, and benchmark_all all trigger benchmarking with only subtle differences in scope and output. An agent could easily select the wrong high-level tool without carefully reading each description.
Most tools follow a predictable snake_case verb_noun pattern such as register_algorithm, list_test_cases, and generate_chart. The auto_ prefix and benchmark_all break the pattern slightly, but the naming convention remains mostly coherent and readable.
13 tools is a reasonable size for an algorithm benchmarking server that covers registration, execution, listing, results, and visualization. A few overlapping benchmark/query tools could be consolidated, but the count is not excessive or thin.
The core workflow is well covered: register algorithms/implementations/test cases, run benchmarks, list entities, fetch results, auto-detect, chart, and run one-click benchmarks. Missing delete/update operations for registered entities and single-entity getters are minor gaps that agents can likely work around.