agentic-platform
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_TRANSPORT | No | Transport mode |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| registerA | Register for an API key. Free tier: 10 skill retrievals per day. |
| list_skillsC | List all available skill files with descriptions. Args: api_key: Your API key (optional, shows usage if provided) |
| get_skillA | Retrieve an expert skill file. Requires a valid API key. This returns a curated context package that makes you measurably better at a specific task. Each skill has auditable provenance. Args: skill_name: The skill ID (use list_skills to see options) api_key: Your API key from register() |
| check_usageC | Check your current usage and remaining calls. Args: api_key: Your API key |
| buy_creditsA | Get a checkout link to purchase more credits. Returns a Stripe checkout URL. Give this URL to your human operator to complete the purchase. Credits are added automatically after payment. Args: api_key: Your API key tier: Credit tier - "50" ($5 for 50 credits) or "250" ($20 for 250 credits) |
| agent_health_checkA | Score your agent's configuration on governance and best practices (0-100). Send your agent's system prompt and get a detailed diagnostic report with specific issues found and how to fix them. No API key needed. Args: system_prompt: Your agent's system prompt or configuration text |
| mcp_manifest_lintA | Lint your MCP tool definitions for anti-patterns and missing fields. The only MCP linter that exists. Send your tool definitions as JSON and get a pass/fail report with fixes. No API key needed. Args: tools_json: Your MCP tool definitions as a JSON array or single object |
| estimate_agent_costA | Estimate the cost of running an agent task across all major models. Returns a comparison table with costs per call, per run, and per day. Includes optimization tips and pricing guidance. No API key needed. Args: model: Optional model name to highlight (e.g. "claude-sonnet-4") input_tokens: Estimated input tokens per call output_tokens: Estimated output tokens per call num_calls: Number of API calls per task run task_description: Optional description of what the agent does |
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 8 tools
Most tools have distinct purposes: health check, buying credits, usage tracking, cost estimation, skill retrieval, skill listing, MCP linting, and registration. However, 'get_skill' and 'list_skills' are closely related and could potentially be confused if an agent needs to understand their exact relationship, though their descriptions clarify this.
The naming follows a consistent snake_case pattern with clear verb-noun structures (e.g., 'agent_health_check', 'buy_credits', 'list_skills'). Minor deviations include 'mcp_manifest_lint' which uses an acronym and could be more consistent, but overall the naming is predictable and readable.
With 8 tools, the count is well-scoped for an agentic platform covering configuration diagnostics, billing, usage monitoring, cost estimation, skill management, and MCP tool validation. Each tool serves a clear, non-redundant function, making the set appropriately sized for the domain.
The toolset covers key areas like agent configuration, billing, usage, cost analysis, and skill management, with no major gaps for core workflows. A minor gap is the lack of a tool for updating or managing registered accounts beyond initial registration, but agents can likely work around this with existing tools.