analysis-gym
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ANALYSIS_GYM_DB_PATH | No | Path to store the database file. Defaults to 'analysis_gym.sqlite3' in the working directory. | analysis_gym.sqlite3 |
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
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| record_predictionA | Record one immutable pre-earnings forecast. expected_earnings_at must be an ISO 8601 timestamp with a timezone. Revenue, EBITDA, net profit, and free cash flow must use the same reporting currency. post_earnings_close is the expected first regular-session close after release. |
| record_actualsB | Record published actuals and settle earlier predictions for the event. EBITDA is operating income plus depreciation and amortization. Free cash flow is operating cash flow minus capital expenditure. For a pre-market release, use that session's close; for an after-hours release, use the next regular session's close. |
| get_resultsA | Return predictions, per-metric errors, and the configuration leaderboard. Lower symmetric mean absolute percentage error (SMAPE) is better. Set settled_only=false to include predictions whose actuals are not recorded yet. |
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/defog-ai/analysis-gym'
If you have feedback or need assistance with the MCP directory API, please join our Discord server