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Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.
About
Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.
Remote endpoints: streamable-http: https://mcp.guffeyholdings.com/TokenOracle
Security Report
Valid MCP server (2 strong, 3 medium validity signals). 3 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
3 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: TOKEN_ORACLE_API_KEY
Environment variable: TOKEN_ORACLE_BASE_URL
Environment variable: TOKEN_ORACLE_SUBJECT
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
THIS REPO IS ARCHIVED AND THE SERVICE HAS BEEN SHUTDOWN
TokenOracle MCP
Token Oracle is a Model Context Protocol (MCP) server that estimates, compares, and controls LLM API costs before agents spend tokens. It exposes nine tools, four read-only Resources, and a cost_analysis_workflow Prompt template. It uses a proprietary pricing algorithm without a backing LLM to ensure deterministic budget workflows.
Designed to work with agent swarms backing one or zero employee companies, Token Oracle acts as a tiny CFO within your OpenClaw swarm keeping spend down and making suggestions to improve promptings.
Save them tokens, call Token Oracle today!
MCP tools exposed:
estimate_cost— Estimates the USD cost of a single LLM API call before execution. Input: task_description, prompt_text, task_type, or explicit token_count. Output: cost_usd, recommended_model, confidence, will_fit_context, pricing_updated. Annotations: readOnlyHint:true, idempotentHint:true, openWorldHint:false.estimate_cost_batch— Prices up to 100 LLM tasks in a single call. Returns per-task breakdown, total_cost_usd, and cheapest_model_for_all. Use before starting any multi-step pipeline.compare_models— Ranks LLM pricing across all supported providers for a given task. Returns models sorted by cost with speed_tier and quality_tier. Supports filtering by min_quality, max_cost_usd, and provider. Input: task_type, token_count, or prompt_text.budget_check— Checks whether a planned task fits within a monthly budget. Returns can_proceed (boolean), remaining_budget_usd, budget_consumed_pct, and cheaper_alternatives with savings_pct. Input: monthly_budget_usd, current_spend_usd, and task description.find_cheapest_for_budget— Inverse of budget_check. Given a budget_usd cap and task, returns the best model/quality combination within budget plus all alternatives ranked by quality then cost.
MCP Resources exposed:
token-oracle://meta— Machine-readable server capability document (version, model_count, pricing metadata)token-oracle://models— Model IDs with metadata for discovery and validationtoken-oracle://heuristics— Task-type token heuristics and keyword classifier patterns (auditable)token-oracle://pricing/changelog— Append-only log of pricing changes; use to detect pricing updates over time
MCP Prompt exposed:
cost_analysis_workflow— Guided three-step prompt template: estimate_cost → compare_models → budget_check. Arguments: task_description, monthly_budget_usd (optional), quality_threshold (optional).
Supported providers: Anthropic, OpenAI, Google, Groq, Together AI, Mistral, DeepSeek, Cohere (100+ models).
Canonical agent workflow example: Goal: Run 500 product description generation tasks. Budget $50/mo, current spend $43.
- estimate_cost_batch({ tasks: [{ task_type: "generate", token_count: { input: 200, output: 800 }, quantity: 500 }] }) → total_cost_usd: $0.60
- compare_models({ token_count: { input: 200, output: 800 }, task_type: "generate", min_quality: "med", max_cost_usd: 0.002 }) → deepseek-v3 at $0.00035/task ($0.175 total) — 71% cheaper, same quality tier
- budget_check({ monthly_budget_usd: 50, current_spend_usd: 43, token_count: { input: 200, output: 800 }, model: "deepseek-v3" }) → can_proceed: true, remaining: $6.825, budget_consumed_pct: 2.4% Decision: Use deepseek-v3. Save $0.425 vs gpt-4o-mini.
Pricing:
- Free: 1000 API calls/day, all hosted tools via the remote endpoint, no credit card
- Pro ($29/mo): Unlimited calls, track_spend tool (persisted cost ledger per API key), priority throughput, spend attribution per agent/task/session
Contact: info@guffeyholdings.com
Hosted endpoint
- Canonical remote MCP URL:
https://mcp.guffeyholdings.com/TokenOracle - Canonical MCP name:
com.guffeyholdings/token-oracle
Direct remote configuration:
{
"mcpServers": {
"token-oracle": {
"type": "streamable-http",
"url": "https://mcp.guffeyholdings.com/TokenOracle",
"headers": {
"X-API-Key": "${TOKEN_ORACLE_API_KEY}"
}
}
}
}
npm bridge package
For local clients that still expect an npm-installed stdio server, use token-oracle-mcp.
Zero-input trial flow:
Start the bridge with no API key and, when the hosted service has trial auth enabled, it will automatically fetch and store a metered trial credential on first launch.
{
"mcpServers": {
"token-oracle": {
"command": "npx",
"args": ["-y", "token-oracle-mcp"]
}
}
}
One-time explicit login flow:
npx -y token-oracle-mcp login
With --api-key, that validates and stores a paid hosted API key. Without --api-key, it requests and stores a hosted trial credential instead. After either flow, the MCP config does not need to inject TOKEN_ORACLE_API_KEY.
{
"mcpServers": {
"token-oracle": {
"command": "npx",
"args": ["-y", "token-oracle-mcp"]
}
}
}
If you prefer stateless setup, keep passing TOKEN_ORACLE_API_KEY as an environment variable instead.
Hosted trial behavior:
- Trial credentials are metered and capped server-side
- Once the hosted trial request limit is reached, the service returns an upgrade-required response
- The hosted service reuses the same still-valid trial credential for the same claimant instead of minting a fresh token each time
- Trial issuance is separately throttled and can be blocked by server-side abuse risk scoring
- Later, a hosted upgrade flow can replace the stored trial credential with a paid credential without changing MCP config
Optional bridge environment variables:
TOKEN_ORACLE_API_KEY: optional hosted API key; overrides any stored credentialTOKEN_ORACLE_BASE_URL: override for the remote endpoint; defaults tohttps://mcp.guffeyholdings.com/TokenOracleTOKEN_ORACLE_SUBJECT: optional end-user subject forwarded asX-Token-Oracle-Subject
Additional bridge commands:
npx -y token-oracle-mcp login: accept--api-keyfor paid auth, or fetch a hosted trial credential when no key is suppliednpx -y token-oracle-mcp logout: remove locally stored credentials
Capabilities
Tools:
estimate_costestimate_cost_batchcompare_modelsbudget_checkfind_cheapest_for_budgetget_budget_statuslist_request_activityget_usage_summaryget_usage_leaderboard
Resources:
token-oracle://metatoken-oracle://modelstoken-oracle://heuristicstoken-oracle://pricing/changelog
Prompts:
cost_analysis_workflow
Versioning
- Hosted service version:
1.0.6 - Bridge package version:
1.0.6
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