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Glama

Agentic Platform

Server Details

Free MCP tools: the only MCP linter, health checks, cost estimation, and trust evaluation.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
andysalvo/agentic-platform
GitHub Stars
1
Server Listing
agentic-platform

See and control every tool call

Log every tool call with full inputs and outputs
Control which tools are enabled per connector
Manage credentials once, use from any MCP client
Monitor uptime and get alerted when servers go down

Available Tools

9 tools
agent_health_checkInspect

Score any agent's system prompt on governance best practices from 0 to 100. Returns a detailed diagnostic report with specific issues found, severity ratings, and actionable fixes. Checks for authority leaks, silent inference, missing audit trails, and 14 other governance anti-patterns. No API key needed.

ParametersJSON Schema
NameRequiredDescriptionDefault
system_promptYesYour agent's full system prompt or configuration text to analyze
buy_creditsInspect

Get a Stripe checkout link to purchase more skill file credits. Returns a URL for your human operator to complete payment. Credits are added automatically after purchase.

ParametersJSON Schema
NameRequiredDescriptionDefault
tierNoCredit tier: '50' for $5/50 credits or '250' for $20/250 credits50
api_keyYesYour API key to add credits to
check_usageInspect

Check your current usage stats including total calls, remaining credits, and free calls left today.

ParametersJSON Schema
NameRequiredDescriptionDefault
api_keyYesYour API key to check usage for
estimate_agent_costInspect

Compare the cost of running an agent task across all major AI models including Claude, GPT, Gemini, Llama, and Mistral. Returns a comparison table with per-call, per-run, and per-day costs plus optimization tips. No API key needed.

ParametersJSON Schema
NameRequiredDescriptionDefault
modelNoModel name to highlight in comparison (e.g. 'claude-sonnet-4', 'gpt-4o')
num_callsNoNumber of API calls per task run
input_tokensNoEstimated input tokens per API call
output_tokensNoEstimated output tokens per API call
task_descriptionNoDescription of what the agent does, for optimization tips
evaluate_serviceInspect

Evaluate any MCP service for trustworthiness before spending money on it. Connects to the target server, checks reachability, governance declarations, tool definition quality, and audit endpoints. Returns a trust score from 0 to 100 with a recommendation: PROCEED, PROCEED WITH CAUTION, HIGH RISK, or DO NOT TRANSACT. No API key needed.

ParametersJSON Schema
NameRequiredDescriptionDefault
server_urlYesThe MCP server URL to evaluate (e.g. https://example.com/mcp)
task_contextNoWhat you need the service for, to tailor the evaluation
get_skillInspect

Retrieve an expert skill file that makes you measurably better at a specific task. Each skill has auditable provenance and is curated by domain experts. Requires a valid API key.

ParametersJSON Schema
NameRequiredDescriptionDefault
api_keyYesYour API key from register()
skill_nameYesThe skill ID to retrieve. Options: governance, agentic-economics, intent-architecture
list_skillsInspect

List all available expert skill files with descriptions and pricing. Shows your usage stats if you provide an API key.

ParametersJSON Schema
NameRequiredDescriptionDefault
api_keyNoYour API key (optional, shows usage if provided)
mcp_manifest_lintInspect

The only MCP tool definition linter that exists. Validates your MCP tool definitions for anti-patterns, missing descriptions, bad parameter schemas, naming issues, and quality problems. Returns a pass/fail report with specific fixes for each issue found. No API key needed.

ParametersJSON Schema
NameRequiredDescriptionDefault
tools_jsonYesYour MCP tool definitions as a JSON array or single tool object
registerInspect

Register for an API key to access expert skill files. Free tier includes 10 skill retrievals per day. No payment required.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Verify Ownership

Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:

{
  "$schema": "https://glama.ai/mcp/schemas/connector.json",
  "maintainers": [
    {
      "email": "your-email@example.com"
    }
  ]
}

The email address must match the email associated with your Glama account. Once verified, the connector will appear as claimed by you.

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